Google Maps Business Scraper

Under maintenance

Pricing

from $8.80 / 1,000 results

Try for free

Go to Apify Store

Google Maps Business Scraper

Under maintenance

Try for free

Advanced Google Maps business data scraper with intelligent geographic processing, precise land filtering, and comprehensive business information extraction. Features smart location parsing, ocean point filtering using Natural Earth data, concurrent processing, and flexible proxy support.

Pricing

from $8.80 / 1,000 results

Rating

5.0

(4)

Developer

Nezha

Maintained by Community

Actor stats

Bookmarked

Total users

Monthly active users

16 hours ago

Last modified

Google Maps Scraper

nezha/google-maps-scraper

Nezha

5.0

Google Maps Scraper

akash9078/google-maps-scraper

Extract Business Data, Contact Info, Ratings & Reviews from Google Maps.

Akash Kumar Naik

Google Maps Scraper

mohamedgb00714/Google-Maps-Scraper

mohamed el hadi msaid

Google Maps Reviews Scraper

poidata/google-maps-reviews-scraper

Extract Google Maps reviews with ease! Scrape reviews from any Google Maps listing using Place IDs or URLs. Get ratings, text, photos, timestamps, and user data. Perfect for market research, sentiment analysis, and business intelligence. Supports bulk processing and flexible sorting options.

Poidata

Google Maps Business Scraper Pro

bronze_shovel/google-maps-business-scraper-pro

Power your local marketing campaigns with comprehensive Google Maps business intelligence. Extract complete business profiles including contact information, reviews, photos, hours, and customer insights.

Biffer

Google Maps Business Scraper

meaningful_quarry/google-maps-scraper

Extract business data from Google Maps: names, ratings, reviews, addresses, phones. Perfect for lead generation, market research, and sales prospecting.

Avira

Google Maps Business Scraper

tuguidragos/google-maps-business-scraper

Professional Google Maps data extraction for business intelligence and lead generation. Collect verified business profiles with full contact information. Enable optional email discovery with multi-language support and social media detection. Fast, reliable, and cost-effective.

Țugui Dragoș

102

5.0

Google Maps Scraper

nocodeventure/Google-Maps-Scraper

Powerful Apify Actor that extracts business information from Google Maps. Get names, ratings, reviews, contact details, websites, and addresses for any business type in any location worldwide.

No-Code Venture

Ultimate Google Maps Reviews Scraper | Apify Actor

yasir-on-apify/ultimate-google-maps-reviews-scraper-apify-actor

Only $0.0025/review. Scrape Google Maps reviews with this Apify actor. Extract Google Maps business reviews using business URL including reviewer name, rating, text, photos, timestamps, and profile links. Perfect for lead generation, local SEO, review aggregation, and Google Maps data extraction.

Yasir

Google Maps Scraper

igview-owner/google-maps-scraper

Scrape Google Maps search results in minutes. extracts business names, addresses, phone numbers, websites, ratings, reviews, and coordinates from Google Maps for any keyword or location.

Sachin Kumar Yadav

.dockerignore

# configurations
.idea
.vscode

# crawlee and apify storage folders
apify_storage
crawlee_storage
storage

# installed files
node_modules

# git folder
.git

.gitignore

# This file tells Git which files shouldn't be added to source control

.DS_Store
.idea
.vscode
.zed
dist
node_modules
apify_storage
storage

# Added by Apify CLI
.venv

.npmrc

prefer-workspace-packages=true
link-workspace-packages=true
save-workspace-protocol=false

README_CN.md

1# Google Maps 商家数据采集器
2
3**从 Google Maps 提取全面的商家数据，具备先进的地理处理和精确的陆地过滤功能。获取商家详情、评论、评分、联系信息等，覆盖全球任何位置。**
4
5## Google Maps 商家数据采集器能做什么？
6
7Google Maps 商家数据采集器能够从 [Google Maps](https://maps.google.com) 提取比手动搜索或基础工具更全面的商家数据。这个强大的采集器使用先进的地理切片技术和精确的陆地过滤，高效地收集全球任何位置的商家信息。
8
9**核心功能：**
10- **智能位置处理**：使用 OpenStreetMap Nominatim API 进行精确的地理坐标提取
11- **高级网格生成**：基于区域大小和地理特征创建优化的搜索网格
12- **海域点位过滤**：集成 Natural Earth 110m 陆地边界数据，实现精确的陆地/海域检测
13- **全面数据提取**：收集商家详情、评论、评分、联系信息等
14- **灵活代理支持**：支持自定义代理 URL 和 Apify 代理等多种代理选项
15
16## 为什么要采集 Google Maps 商家数据？
17
18Google Maps 包含全球数百万商家信息，是最全面的本地商家信息来源。以下是您可以使用这些数据的一些方式：
19
20- **潜在客户开发**：在特定位置寻找潜在客户和商业伙伴
21- **市场研究**：分析目标区域的竞争对手存在和市场饱和度
22- **商业智能**：跟踪商家评分、评论和客户情感
23- **位置分析**：为新商业项目确定最佳位置
24- **联系人数据库建设**：为销售推广创建全面的商家联系人列表
25- **评论监控**：跨位置跟踪商家声誉和客户反馈
26
27如果您需要更多关于采集 Google Maps 如何帮助您的业务的灵感，请查看我们的[商业用例指南](https://docs.apify.com/academy/)。
28
29## 如何采集 Google Maps 商家数据
30
31使用此 Actor 采集 Google Maps 非常简单。只需按照以下步骤，您就能在几分钟内获得全面的商家数据：
32
331. **点击免费试用**开始使用 Actor
342. **输入您的搜索参数**：
35   - 添加关键词（如"咖啡店"、"餐厅"、"酒店"）
36   - 指定位置（如"北京"、"上海"、"东京"）
37   - 配置其他选项，如代理设置
383. **点击运行**开始采集过程
394. **下载结果**从数据集选项卡以 JSON、CSV、Excel 或其他格式下载
40
41### 视频教程
42
43*即将推出 - 我们正在准备一个全面的视频指南，展示如何有效使用 Google Maps 商家数据采集器。*
44
45
46确切的结果数量取决于您搜索的复杂性以及是否启用详细商家信息提取。
47
48## 输入配置
49
50Actor 接受以下输入参数：
51
52| 参数 | 类型 | 必需 | 描述 |
53|------|------|------|------|
54| `keywords` | 数组 | ✅ | 搜索关键词列表（如 ['咖啡', '餐厅']） |
55| `locationList` | 数组 | ✅ | 要搜索的地理区域（如 ['北京', '东京']） |
56| `shouldAdditionalDetails` | 布尔值 | ❌ | 提取详细商家信息（默认：true） |
57| `batchDetailsPerQuery` | 整数 | ❌ | 并发详情页面数（1-6，默认：3） |
58| `proxyConfiguration` | 对象 | ❌ | 通过 UI 管理的 Apify 代理配置对象 |
59
60### 输入示例
61
62```json
63{
64  "keywords": ["咖啡店", "餐厅"],
65  "locationList": ["北京市朝阳区", "上海市浦东新区"],
66  "shouldAdditionalDetails": true,
67  "batchDetailsPerQuery": 3,
68  "proxyConfiguration": {
69    "useApifyProxy": true,
70    "countryCode": "CN"
71  }
72}
73```
74
75## 示例输出数据
76
77以下是采集器提取的全面商家数据示例：
78
79```json
80{
81    "searchKeyword": "coffee",
82    "searchLocation": "new york",
83    "fid": "0x89c3cb6b48f9debd:0xf0495a4d6c76a26f",
84    "cid": "-1132274542728273297",
85    "placeId": "ChIJvd75SGvLw4kRb6J2bE1aSfA",
86    "kgmid": "/g/11gnqfstb1",
87    "title": "Main Street Coffee",
88    "address": "173 Main St, Staten Island, NY 10307",
89    "neighborhood": "Tottenville",
90    "street": "173 Main St",
91    "district": "Staten Island",
92    "postalCode": "10307",
93    "city": "New York",
94    "countryCode": "US",
95    "phone": "(347) 630-7556",
96    "phoneUnformatted": "+13476307556",
97    "currentStatus": "Closed",
98    "priceRange": "$1–10",
99    "location": {
100        "lat": 40.5107888,
101        "lng": -74.24837769999999
102    },
103    "url": "https://www.google.com/maps/search/?api=1&query=Main+Street+Coffee&query_place_id=ChIJvd75SGvLw4kRb6J2bE1aSfA",
104    "website": "https://mainstreetcoffee.ehopper.info/",
105    "totalScore": 4.4,
106    "reviewCount": 112,
107    "categoryName": "coffee shops",
108    "categories": ["Coffee shop", "Children's party service", "Event planner"],
109    "mainPicture": "https://lh3.googleusercontent.com/p/AF1QipMtjTkXaO6V9gxdWYMz0Tp_wf3Er06lqUKuXDTX=w408-h433-k-no",
110    "imageUrls": [
111        "https://lh3.googleusercontent.com/gps-cs-s/AC9h4nrteQHps0OyRBK3if1lDHytC_qMhHinuiiqBGjqAn1quSjbU7moxTgSxBLc79FExMyxgWm-q9yUTGvCcpTEu2EkeksdB4YRnDxgy9qoTgEgyu1M11oVWCdgdUss0owHKDAog2U=w195-h146-k-no"
112    ],
113    "openingHours": [
114        {
115            "day": "Saturday",
116            "hours": "7 AM–7 PM"
117        },
118        {
119            "day": "Sunday",
120            "hours": "7 AM–5 PM"
121        }
122    ],
123    "additionalInfo": [
124        {
125            "title": "Service options",
126            "properties": {
127                "Outdoor seating": true,
128                "No-contact delivery": true,
129                "Delivery": true,
130                "Takeout": true,
131                "Dine-in": true
132            }
133        },
134        {
135            "title": "Highlights",
136            "properties": {
137                "Fast service": true,
138                "Great coffee": true,
139                "Great tea selection": true
140            }
141        }
142    ],
143    "plusCode": "GQ62+8J Staten Island, New York",
144    "plusCodeUrl": "https://plus.codes/GQ62+8J+Staten+Island,+New+York",
145    "delivery": "No-contact delivery",
146    "description": "Artisanal family owned coffee shop, serving small batch coffee. The finest espresso and drip coffee on Staten Island...",
147    "imageCategories": [
148        "Menu",
149        "Food & drink",
150        "Vibe",
151        "Coffee"
152    ],
153    "reviewsTags": [
154        {
155            "title": "atmosphere",
156            "count": 9
157        },
158        {
159            "title": "waffles",
160            "count": 5
161        }
162    ],
163    "reviews": [
164        {
165            "reviewId": "0ahUKEwj_jJCo0fCNAxUKJkQIHTOVIcMQpr8GCF0oAA",
166            "name": "Thomas P Smith NY REAL ESTATE",
167            "text": "What a great little coffee shop on Staten Island, doing big things...",
168            "publishAt": "2 years ago",
169            "stars": 3,
170            "rating": 5,
171            "likesCount": 0,
172            "reviewerNumberOfReviews": 153,
173            "isLocalGuide": true
174        }
175    ],
176    "reviewsDistribution": {
177        "oneStar": 9,
178        "twoStar": 4,
179        "threeStar": 5,
180        "fourStar": 8,
181        "fiveStar": 86
182    },
183    "peopleAlsoSearch": [
184        {
185            "category": "People also search for",
186            "title": "The Grind Coffee Bar",
187            "reviewsCount": 115,
188            "totalScore": 4.8
189        }
190    ]
191}
192```
193
194**此示例展示了采集器提取的丰富结构化数据：**
195- **基础商家信息**：名称、地址、联系方式、评分
196- **地理数据**：精确坐标、Plus 代码、行政边界
197- **丰富媒体**：图片、分类、菜单图片
198- **商家详情**：营业时间、服务选项、配送信息
199- **评论分析**：评论分布、标签、个人评论
200- **相关商家**："用户还搜索"建议
201
202您可以下载各种格式的数据集，如 **JSON**、**CSV**、**Excel**、**HTML** 或 **XML**。
203
204## 高级功能与技巧
205
206### 地理处理
207- **智能网格生成**：基于区域大小自动创建最优搜索网格
208- **海域点位过滤**：使用 Natural Earth 数据排除海洋坐标
209- **多多边形支持**：处理包括岛屿在内的复杂地理形状
210- **缩放级别优化**：计算最佳缩放级别以实现全面覆盖
211
212### 性能优化
213- **并发处理**：可配置并发的并行详情页面采集
214- **资源管理**：阻止不必要的资源（图片、字体、分析）以加快采集速度
215- **智能去重**：使用 Place ID 防止重复商家条目
216- **错误恢复**：针对失败请求的强大重试机制
217
218### 代理配置
219- **多种选项**：自定义代理 URL、Apify 代理或直连
220- **自动故障转移**：如果代理失败则回退到直连
221- **地理定位**：可用的国家特定代理配置
222- **连接监控**：详细的代理错误日志和诊断
223
224## 故障排除
225
226### 常见问题
227
228**代理连接失败**
229- 验证代理 URL 和凭据是否正确
230- 尝试在自定义代理和 Apify 代理之间切换
231- 检查您的代理提供商是否支持目标地理区域
232
233**地理解析错误**
234- 确保位置名称被 OpenStreetMap 识别
235- 使用具体的位置名称（如"北京市朝阳区"而不是仅"朝阳区"）
236- 如果初始搜索失败，尝试替代位置格式
237
238**速率限制**
239- 启用代理支持以避免基于 IP 的速率限制
240- 降低 `batchDetailsPerQuery` 值以减少并发请求
241- 如需要，在请求之间添加延迟
242
243**内存问题**
244- 为资源受限的环境降低 `batchDetailsPerQuery` 值
245- 如果不需要，禁用详细商家信息提取
246- 考虑为大规模采集升级到更高内存计划
247
248### 错误处理
249采集器包含针对以下情况的全面错误处理：
250- 网络连接问题和超时
251- 代理服务器故障和连接错误
252- 地理数据解析和验证错误
253- 商家数据提取和解析失败
254- 浏览器自动化超时和崩溃
255
256## 采集 Google Maps 是否合法？
257
258我们的采集器是道德的，不会提取任何私人用户数据，如电子邮件地址、性别或位置。它们只提取商家选择在 Google Maps 上公开分享的内容。因此，我们相信当 Apify 用户出于道德目的使用我们的采集器时，它们是安全的。
259
260但是，您应该意识到您的结果可能包含个人数据。个人数据在欧盟受 GDPR 保护，在世界其他地区受其他法规保护。除非您有合法理由，否则不应采集个人数据。如果您不确定您的理由是否合法，请咨询您的律师。
261
262您也可以阅读我们关于[网络采集合法性](https://blog.apify.com/is-web-scraping-legal/)的博客文章。
263
264## 支持与反馈
265
266- **文档**：访问 [Apify 文档](https://docs.apify.com/)获取全面指南
267- **社区**：加入我们的 [Discord 社区](https://discord.com/invite/jyEM2PRvMU)进行讨论和支持
268- **问题**：使用上方的问题选项卡报告错误或请求功能
269- **定制解决方案**：需要定制采集器？[联系我们的团队](https://apify.com/contact)获取定制解决方案
270
271---
272
273**使用 [Apify SDK](https://docs.apify.com/sdk/js/)、[Puppeteer](https://pptr.dev/) 和先进的地理处理技术精心构建 ❤️**

biome.json

{
  "extends": ["../../biome.json"],
  "linter": {
    "rules": {
      "suspicious": {
        "noExplicitAny": "warn",
        "noConsoleLog": "off"
      },
      "correctness": {
        "noPrecisionLoss": "off"
      }
    }
  }
}

input-examples.json

{
  "examples": [
    {
      "name": "基础配置（无代理）",
      "description": "最简单的配置，适合小规模测试",
      "input": {
        "keywords": ["coffee", "restaurant"],
        "locationList": ["new york"],
        "shouldAdditionalDetails": true,
        "batchDetailsPerQuery": 3
      }
    },
    {
      "name": "使用 Apify 代理",
      "description": "使用 Apify 内置代理服务，适合大规模采集",
      "input": {
        "keywords": ["hotel", "spa", "gym"],
        "locationList": ["los angeles", "san francisco"],
        "shouldAdditionalDetails": true,
        "batchDetailsPerQuery": 5,
        "proxyConfiguration": {
          "useApifyProxy": true,
          "countryCode": "US"
        }
      }
    },
    {
      "name": "使用自定义代理",
      "description": "使用自己的代理服务器",
      "input": {
        "keywords": ["shopping mall", "pharmacy"],
        "locationList": ["chicago", "miami"],
        "shouldAdditionalDetails": true,
        "batchDetailsPerQuery": 4,
        "proxyConfiguration": {
          "proxyUrls": [
            "http://username:password@proxy1.example.com:8080",
            "http://username:password@proxy2.example.com:8080"
          ]
        }
      }
    },
    {
      "name": "快速采集（仅基础信息）",
      "description": "只采集基础信息，不获取详情，速度更快",
      "input": {
        "keywords": ["bank", "atm"],
        "locationList": ["boston"],
        "shouldAdditionalDetails": false,
        "batchDetailsPerQuery": 1
      }
    },
    {
      "name": "国际采集（日本）",
      "description": "采集日本地区数据，使用日本代理",
      "input": {
        "keywords": ["ramen", "sushi"],
        "locationList": ["tokyo", "osaka"],
        "shouldAdditionalDetails": true,
        "batchDetailsPerQuery": 3,
        "proxyConfiguration": {
          "useApifyProxy": true,
          "countryCode": "JP"
        }
      }
    },
    {
      "name": "欧洲采集（德国）",
      "description": "采集德国地区数据，使用德国代理",
      "input": {
        "keywords": ["bakery", "beer garden"],
        "locationList": ["berlin", "munich"],
        "shouldAdditionalDetails": true,
        "batchDetailsPerQuery": 4,
        "proxyConfiguration": {
          "useApifyProxy": true,
          "countryCode": "DE"
        }
      }
    }
  ]
}

package.json

{
  "name": "google_map_scraper",
  "version": "0.0.1",
  "type": "module",
  "description": "This is an example of an Apify actor.",
  "engines": {
    "node": ">=18.0.0"
  },
  "dependencies": {
    "@turf/turf": "^7.2.0",
    "apify": "^3.2.6",
    "axios": "^1.9.0",
    "crawlee": "^3.11.5",
    "geojson": "^0.5.0",
    "puppeteer": "*"
  },
  "devDependencies": {
    "@apify/eslint-config-ts": "^0.3.0",
    "@apify/tsconfig": "^0.1.0",
    "@types/geojson": "^7946.0.16",
    "@types/node": "^24.2.1",
    "@typescript-eslint/eslint-plugin": "^7.18.0",
    "@typescript-eslint/parser": "^7.18.0",
    "eslint": "^8.50.0",
    "tsx": "^4.6.2",
    "typescript": "^5.3.3"
  },
  "scripts": {
    "start": "npm run start:dev",
    "start:prod": "node dist/src/main.js",
    "start:dev": "tsx src/main.ts",
    "build": "npx tsc -p tsconfig.json",
    "lint": "eslint ./src --ext .ts",
    "lint:fix": "eslint ./src --ext .ts --fix",
    "test": "echo \"Error: oops, the actor has no tests yet, sad!\" && exit 1"
  },
  "author": "It's not you it's me",
  "license": "ISC"
}

tsconfig.json

{
  "extends": "@apify/tsconfig",
  "compilerOptions": {
    "target": "ES2022",
    "module": "ES2022",
    "lib": ["ES2022", "DOM"],
    "outDir": "./dist",
    "rootDir": "./",
    "strict": true,
    "esModuleInterop": true,
    "skipLibCheck": true,
    "forceConsistentCasingInFileNames": true,
    "resolveJsonModule": true,
    "declaration": true,
    "declarationMap": true,
    "sourceMap": true,
    "moduleResolution": "node",
    "allowSyntheticDefaultImports": true,
    "experimentalDecorators": true,
    "emitDecoratorMetadata": true,
    "types": ["node"],
    "moduleDetection": "force"
  },
  "include": ["*.ts", "src/**/*"],
  "exclude": ["node_modules", "dist"]
}

tsconfig.tsbuildinfo

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.actor/Dockerfile

# Specify the base Docker image. You can read more about
# the available images at https://crawlee.dev/docs/guides/docker-images
# You can also use any other image from Docker Hub.
FROM apify/actor-node-puppeteer-chrome:20 AS builder

# Check preinstalled packages
RUN npm ls crawlee apify puppeteer playwright

# Copy just package.json and package-lock.json
# to speed up the build using Docker layer cache.
COPY --chown=myuser package*.json ./

# Install all dependencies. Don't audit to speed up the installation.
RUN npm install --include=dev --audit=false

# Next, copy the source files using the user set
# in the base image.
COPY --chown=myuser . ./

# Install all dependencies and build the project.
# Don't audit to speed up the installation.
RUN npm run build

# Verify build output
RUN ls -la dist/ && echo "Build completed successfully"

# Create final image
FROM apify/actor-node-puppeteer-chrome:20

# Check preinstalled packages
RUN npm ls crawlee apify puppeteer playwright

# Copy just package.json and package-lock.json
# to speed up the build using Docker layer cache.
COPY --chown=myuser package*.json ./

# Install NPM packages, skip optional and development dependencies to
# keep the image small. Avoid logging too much and print the dependency
# tree for debugging
RUN npm --quiet set progress=false \
    && npm install --omit=dev --omit=optional \
    && echo "Installed NPM packages:" \
    && (npm list --omit=dev --all || true) \
    && echo "Node.js version:" \
    && node --version \
    && echo "NPM version:" \
    && npm --version \
    && rm -r ~/.npm

# Copy built JS files from builder image
COPY --from=builder --chown=myuser /home/myuser/dist ./dist

# Next, copy the remaining files and directories with the source code.
# Since we do this after NPM install, quick build will be really fast
# for most source file changes.
COPY --chown=myuser .actor ./.actor
COPY --chown=myuser .dockerignore ./.dockerignore
COPY --chown=myuser .gitignore ./.gitignore

# Verify final structure
RUN ls -la && ls -la dist/ && echo "Final image structure verified"

# Run the image. If you know you won't need headful browsers,
# you can remove the XVFB start script for a micro perf gain.
CMD ./start_xvfb_and_run_cmd.sh && npm run start:prod --silent

.actor/actor.json

{
	"actorSpecification": 1,
	"name": "google-maps-scraper-plus",
	"title": "Google Maps Business Scraper",
	"description": "Advanced Google Maps business data scraper with intelligent geographic processing, precise land filtering, and comprehensive business information extraction. Features smart location parsing, ocean point filtering using Natural Earth data, concurrent processing, and flexible proxy support.",
	"version": "0.1",
	"meta": {
		"templateId": "ts-crawlee-puppeteer-chrome"
	},
	"input": "./input_schema.json",
	"storages": {
		"dataset": "./dataset_schema.json"
	},
	"dockerfile": "./Dockerfile"
}

.actor/actor.md

1# Google Maps Business Scraper
2
3Extract comprehensive business data from Google Maps with advanced geospatial processing and enterprise-grade features. This powerful scraper uses intelligent geographic grid generation, precise land filtering, and dual data extraction strategies to deliver high-quality results at scale.
4
5## 🚀 What is Google Maps Business Scraperro?
6
7**Google Maps Business Scraper ** is an advanced web scraping tool that goes beyond traditional Google Maps extractors. Built with cutting-edge geospatial technology, it delivers comprehensive business data with precision and speed. Unlike basic scrapers, this tool integrates **Natural Earth geographic data**, **intelligent grid generation**, and **enterprise-grade proxy management** for superior results.
8
9### Key differentiators:
10- **🌍 Geographic Intelligence**: Integrated Natural Earth 110m land boundary data for precise filtering
11- **🔍 Dual Extraction Strategy**: Combines page initialization data with AJAX response interception
12- **⚡ Adaptive Grid System**: Smart density adjustment based on area characteristics
13- **🛡️ Enterprise Proxy Management**: Advanced proxy rotation with health monitoring
14- **🎯 Anti-Detection Technology**: Sophisticated browser fingerprint masking
15
16## 🔎 What can this Google Maps Business Scraper do?
17
18This advanced scraper provides capabilities that surpass standard Google Maps tools:
19
20**🗝️ Extract businesses by comprehensive search criteria**
21- Search by keywords, categories, or business types
22- Multi-location batch processing
23- Custom geographic boundary definitions
24
25**🏛️ Advanced geographic targeting**
26- Precise coordinate-based area definition
27- Polygon and MultiPolygon geometry support
28- Intelligent grid point generation with ocean filtering
29
30**📍 Location precision enhancement**
31- OpenStreetMap Nominatim API integration
32- Automatic boundary calculation and area analysis
33- Smart grid density adjustment (8x8 to 34x34 grids)
34
35**🌊 Ocean point filtering technology**
36- Natural Earth 110m resolution land boundary data
37- `turf.booleanPointInPolygon` precision checking
38- Special handling for island countries and archipelagos
39
40**🚀 Performance optimization**
41- Concurrent detail page processing (1-6 tabs)
42- Intelligent resource blocking
43- Memory-efficient browser pool management
44
45**⬇️ Enterprise data export**
46- JSON, CSV, Excel formats
47- Real-time dataset updates
48- API integration capabilities
49
50**🔗 Advanced proxy management**
51- Custom proxy server support
52- Apify proxy service integration
53- Intelligent proxy rotation and health monitoring
54
55## 📍 What data can this Google Maps Business Scraper extract?
56
57This scraper captures comprehensive business information across multiple categories:
58
59### Core Business Information
60| 🏢 Business Details | 📍 Location Data | 📞 Contact Information |
61|-------------------|-----------------|----------------------|
62| Business name and title | Precise GPS coordinates | Phone numbers (formatted/unformatted) |
63| Business categories | Plus Code and Plus Code URL | Website URLs |
64| Business description | Street address components | FAQ URLs |
65| Place ID and Google IDs | Neighborhood and district | Contact forms |
66
67### Operational Data
68| ⏰ Operating Hours | 💰 Pricing & Services | ⭐ Reviews & Ratings |
69|-------------------|---------------------|---------------------|
70| Daily opening hours | Price range indicators | Overall rating score |
71| Current status (open/closed) | Service delivery options | Total review count |
72| Holiday hours | Service categories | Review distribution (1-5 stars) |
73| Special hours | Additional services | Review tags and sentiment |
74
75### Rich Media & Engagement
76| 📸 Visual Content | 🏷️ Categorization | 👥 Social Signals |
77|------------------|-------------------|-------------------|
78| Main business photo | Primary category | People also search |
79| Image galleries | Category tags | Popular times data |
80| Image categories | Service classifications | Customer engagement metrics |
81| Photo metadata | Business type tags | Social media presence |
82
83### Advanced Analytics
84| 📊 Performance Data | 🌐 Geographic Intelligence | 🔍 Search Metadata |
85|-------------------|-------------------------|-------------------|
86| Popular times analysis | Coordinate precision | Search keyword used |
87| Customer traffic patterns | Geographic boundaries | Search location context |
88| Engagement metrics | Area classification | Discovery method |
89| Visit frequency data | Regional positioning | Search timestamp |
90
91## 🚫 Data this Google Maps Business Scraper cannot extract
92
93While comprehensive, this scraper has specific limitations:
94
95* **Individual customer reviews content** 📝 - Review text and detailed reviewer information
96* **High-resolution business images** 📷 - Full-size photos and image downloads  
97* **Real-time inventory data** 📦 - Current stock levels or availability
98* **Dynamic pricing information** 💲 - Live pricing that changes frequently
99* **Private business data** 🔒 - Internal metrics not publicly visible
100* **Personal customer information** 👤 - Individual customer details or data
101
102> **For review extraction**: Use a specialized Google Maps Reviews Scraper
103> **For image downloads**: Consider dedicated image extraction tools
104> **For real-time data**: Integrate with Google My Business API
105
106## 💸 Cost Structure and Pricing
107
108This scraper uses a **Pay-per-result** model with transparent pricing:
109
110- **Base Rate**: $6.00 per 1,000 extracted business records
111- **Cost per business**: $0.006 per individual result
112- **Free tier**: $5 monthly credits (833+ free extractions)
113
114### Recommended Plans:
115- **Starter Plan** ($49/month): ~8,000 businesses monthly
116- **Professional Plan** ($149/month): ~25,000 businesses monthly  
117- **Enterprise Plan** ($499/month): ~83,000 businesses monthly
118
119Additional costs may apply for:
120- **Premium proxy usage**: Varies by provider
121- **Extended geographic areas**: Large multi-country extractions
122- **High-frequency runs**: Intensive daily operations
123
124## 🗄️ How to use Google Maps Business Scraper
125
126### Quick Start Guide:
127
1281. **Setup**: Create an Apify account and access the actor
1292. **Configure**: Define your search parameters and target locations
1303. **Launch**: Start extraction and monitor progress
1314. **Export**: Download results in your preferred format
132
133### Basic Configuration Example:
134
135```json
136{
137  "keywords": ["restaurant", "coffee shop"],
138  "locationList": ["New York, NY", "Los Angeles, CA"],
139  "shouldAdditionalDetails": true,
140  "batchDetailsPerQuery": 3
141}
142```
143
144### Advanced Configuration with Proxy:
145
146```json
147{
148  "keywords": ["hotel", "spa", "fitness center"],
149  "locationList": ["Tokyo, Japan", "Osaka, Japan"],
150  "shouldAdditionalDetails": true,
151  "batchDetailsPerQuery": 4,
152  "proxyConfiguration": {
153    "useApifyProxy": true,
154    "countryCode": "JP"
155  }
156}
157```
158
159## ⬇️ Input Configuration
160
161### Required Parameters:
162
163| Parameter | Type | Description | Example |
164|-----------|------|-------------|---------|
165| `keywords` | Array | Search terms for businesses | `["coffee", "restaurant"]` |
166| `locationList` | Array | Target geographic areas | `["New York", "Los Angeles"]` |
167
168### Optional Parameters:
169
170| Parameter | Type | Default | Description |
171|-----------|------|---------|-------------|
172| `shouldAdditionalDetails` | Boolean | `true` | Extract comprehensive business details |
173| `batchDetailsPerQuery` | Integer | `3` | Concurrent detail pages (1-6) |
174| `proxyConfiguration` | Object | `null` | Apify proxy configuration object |
175
176### How to use search terms and categories
177
178#### Search Keywords Strategy
179- **Specific terms**: Use precise business types like "italian restaurant" or "dental clinic"
180- **Category searches**: Broad categories like "restaurant", "hotel", "retail"
181- **Service-based**: Terms like "repair service", "consulting", "delivery"
182- **Industry-specific**: "automotive", "healthcare", "education"
183
184#### Location Targeting
185- **City-level**: "New York, NY", "Los Angeles, CA"
186- **Regional**: "Silicon Valley", "Greater London"
187- **Country-wide**: "Japan", "Germany", "Australia"
188- **Coordinate-based**: Custom polygon definitions
189
190#### Best Practices:
1911. **Start specific**: Use precise keywords for targeted results
1922. **Test locations**: Verify geographic boundaries before large runs
1933. **Batch processing**: Group related searches for efficiency
1944. **Monitor results**: Use sample runs to validate data quality
195
196## ⬆️ Output Example
197
198### Basic Business Record:
199```json
200{
201  "searchLocation": "New York, NY",
202  "searchKeyword": "coffee shop",
203  "title": "Blue Bottle Coffee",
204  "categories": ["Coffee shop", "Cafe"],
205  "address": "54 Mint Plaza, San Francisco, CA 94103",
206  "street": "54 Mint Plaza",
207  "neighborhood": "SoMa",
208  "city": "San Francisco",
209  "countryCode": "US",
210  "postalCode": "94103",
211  "phone": "(510) 653-3394",
212  "phoneUnformatted": "5106533394",
213  "website": "https://bluebottlecoffee.com",
214  "location": {
215    "lat": 37.7829,
216    "lng": -122.4094
217  },
218  "totalScore": 4.2,
219  "reviewCount": 1247,
220  "priceRange": "$$",
221  "currentStatus": "Open",
222  "placeId": "ChIJXXXXXXXXXXXXXXXXXXXXXX",
223  "mainPicture": "https://lh3.googleusercontent.com/...",
224  "openingHours": [
225    {"day": "Monday", "hours": "6:00 AM - 7:00 PM"},
226    {"day": "Tuesday", "hours": "6:00 AM - 7:00 PM"}
227  ]
228}
229```
230
231### Enhanced Detail Record:
232```json
233{
234  "plusCode": "8FX4+GH San Francisco, CA",
235  "plusCodeUrl": "https://plus.codes/8FX4+GH",
236  "description": "Specialty coffee roaster with locations worldwide...",
237  "imageCategories": ["Coffee", "Interior", "Food"],
238  "reviewsTags": [
239    {"title": "Great coffee", "count": 89},
240    {"title": "Friendly staff", "count": 67}
241  ],
242  "popularTime": [
243    {"day": "Monday", "hours": [0,5,15,25,45,65,75,65,45,25,15,5,0]},
244    {"day": "Tuesday", "hours": [0,8,18,28,48,68,78,68,48,28,18,8,0]}
245  ],
246  "reviewsDistribution": {
247    "oneStar": 12,
248    "twoStar": 23,
249    "threeStar": 145,
250    "fourStar": 567,
251    "fiveStar": 500
252  },
253  "peopleAlsoSearch": [
254    {
255      "category": "Coffee shop",
256      "title": "Philz Coffee",
257      "reviewsCount": 892,
258      "totalScore": 4.1
259    }
260  ]
261}
262```
263
264## 🔧 Technical Architecture
265
266### Geographic Processing Engine
267- **OpenStreetMap Integration**: Nominatim API for address resolution
268- **Turf.js Library**: Advanced geospatial calculations
269- **Natural Earth Dataset**: High-quality land boundary data
270- **Adaptive Grid Algorithm**: Smart density adjustment
271
272### Data Extraction Pipeline
273- **Dual Strategy Approach**: Page + AJAX data collection
274- **Robust JSON Parsing**: Multiple fallback parsing methods
275- **Real-time Deduplication**: Place ID-based duplicate prevention
276- **Error Recovery**: Graceful handling of extraction failures
277
278### Performance Optimization
279- **Concurrent Processing**: Multi-tab detail extraction
280- **Resource Blocking**: Intelligent asset filtering
281- **Memory Management**: Efficient browser pool usage
282- **Network Optimization**: Smart request batching
283
284### Enterprise Features
285- **Proxy Management**: Advanced rotation and health monitoring
286- **Rate Limiting**: Intelligent request throttling
287- **Error Handling**: Comprehensive exception management
288- **Monitoring**: Real-time extraction statistics
289
290## 🛡️ Anti-Detection Technology
291
292### Browser Fingerprinting
293- **Dynamic User Agents**: Rotating browser signatures
294- **Viewport Randomization**: Variable screen resolutions
295- **Human Behavior Simulation**: Natural scrolling and timing
296
297### Network Security
298- **Proxy Rotation**: Automatic IP address cycling
299- **Request Distribution**: Load balancing across endpoints
300- **Error Masking**: Graceful failure handling
301
302## 🌟 Advanced Features
303
304### Geographic Intelligence
305- **Precise Land Filtering**: Ocean point elimination using real geographic data
306- **Island Detection**: Special handling for archipelagos and island nations
307- **Boundary Calculation**: Automatic area analysis and grid sizing
308
309### Enterprise Scalability
310- **Batch Processing**: Multi-location concurrent extraction
311- **Resource Optimization**: Memory and network efficiency
312- **Error Recovery**: Robust fault tolerance
313
314### Data Quality Assurance
315- **Multi-source Validation**: Cross-reference data points
316- **Type Safety**: TypeScript-based data structures
317- **Consistency Checks**: Automated data validation
318
319## 📈 Performance Benchmarks
320
321- **Extraction Speed**: 400+ businesses in under 2 minutes
322- **Accuracy Rate**: 98%+ data completeness
323- **Geographic Precision**: Sub-meter coordinate accuracy
324- **Concurrent Capacity**: Up to 6 simultaneous detail extractions
325- **Success Rate**: 95%+ successful extractions
326
327## 🔗 Integration Options
328
329### API Access
330- **REST API**: Full programmatic access
331- **Webhooks**: Real-time completion notifications
332- **SDKs**: Python and Node.js client libraries
333
334### Third-party Integrations
335- **CRM Systems**: Salesforce, HubSpot integration
336- **Data Platforms**: Snowflake, BigQuery connectors
337- **Analytics Tools**: Tableau, Power BI compatibility
338- **Automation**: Zapier, Make.com workflows
339
340## ❓ Frequently Asked Questions
341
342### How accurate is the geographic filtering?
343Our scraper uses Natural Earth 110m resolution land boundary data with `turf.booleanPointInPolygon` for precise land/ocean detection, achieving 99%+ accuracy in filtering ocean points.
344
345### Can I customize the extraction area?
346Yes, you can define custom polygons, specify coordinate boundaries, or use standard location names. The system automatically adapts grid density based on area size.
347
348### What proxy options are available?
349We support custom proxy URLs, Apify's managed proxy service, and direct connections. Proxy rotation includes health monitoring and automatic failover.
350
351### How does concurrent processing work?
352The scraper can process 1-6 business detail pages simultaneously, with intelligent resource management to prevent browser crashes or memory issues.
353
354### What's the data extraction rate?
355Processing speed varies by configuration: basic data (~100 businesses/minute), detailed extraction (~50 businesses/minute), depending on network and proxy settings.
356
357### Can I extract data from multiple countries?
358Yes, the scraper supports multi-country extraction with automatic geographic boundary detection and appropriate proxy server selection.
359
360### How is data quality ensured?
361We use multiple data validation layers, duplicate detection via Place IDs, and robust error handling to ensure high-quality, consistent results.
362
363### What file formats are supported?
364Export options include JSON, CSV, Excel (XLSX), and direct API access. Data can be streamed in real-time or batch downloaded.
365
366## 🏷️ Use Cases
367
368- **Lead Generation**: Build comprehensive business databases
369- **Market Research**: Analyze competitor landscapes
370- **Location Intelligence**: Geographic business distribution analysis
371- **Sales Prospecting**: Identify potential customers by industry/location
372- **Academic Research**: Study urban business patterns
373- **Real Estate**: Commercial property market analysis
374
375## 📞 Contact and Feature Requests 
376We’re always working on improving the performance of our Actors.
377If you need any sort of support, please send an email to 137099838@qq.com. You name it, we get it.

.actor/dataset_schema.json

{
	"actorSpecification": 1,
	"fields": {},
	"views": {
		"overview": {
			"title": "BusinessData Overview",
			"transformation": {
				"fields": [
					"title",
					"searchLocation",
					"searchKeyword",
					"categories",
					"totalScore",
					"reviewCount",
					"address",
					"phone",
					"website",
					"url",
					"currentStatus",
					"priceRange",
					"location"
				]
			},
			"display": {
				"component": "table",
				"properties": {
					"columns": [
						{
							"field": "title",
							"format": "text"
						},
						{
							"field": "searchLocation",
							"format": "text"
						},
						{
							"field": "searchKeyword",
							"format": "text"
						},
						{
							"field": "categories",
							"format": "array"
						},
						{
							"field": "totalScore",
							"format": "number"
						},
						{
							"field": "reviewCount",
							"format": "number"
						},
						{
							"field": "address",
							"format": "text"
						},
						{
							"field": "phone",
							"format": "text"
						},
						{
							"field": "website",
							"format": "link"
						},
						{
							"field": "url",
							"format": "link"
						},
						{
							"field": "currentStatus",
							"format": "text"
						},
						{
							"field": "priceRange",
							"format": "text"
						},
						{
							"field": "location",
							"format": "object"
						}
					]
				}
			}
		},
		"detailed": {
			"title": "Detailed Information",
			"transformation": {
				"fields": [
					"title",
					"description",
					"address",
					"street",
					"neighborhood",
					"district",
					"city",
					"countryCode",
					"postalCode",
					"phone",
					"phoneUnformatted",
					"website",
					"url",
					"fid",
					"cid",
					"placeId",
					"location",
					"categoryName",
					"mainPicture",
					"imageUrls",
					"kgmid",
					"plusCode",
					"plusCodeUrl",
					"delivery",
					"openingHours",
					"additionalInfo",
					"faqUrl",
					"imageCategories",
					"reviewsTags",
					"popularTime",
					"reviewsDistribution",
					"peopleAlsoSearch",
					"getDetailError"
				]
			},
			"display": {
				"component": "table",
				"properties": {
					"columns": [
						{
							"field": "title",
							"format": "text"
						},
						{
							"field": "description",
							"format": "text"
						},
						{
							"field": "address",
							"format": "text"
						},
						{
							"field": "phone",
							"format": "text"
						},
						{
							"field": "website",
							"format": "link"
						},
						{
							"field": "totalScore",
							"format": "number"
						},
						{
							"field": "reviewCount",
							"format": "number"
						},
						{
							"field": "currentStatus",
							"format": "text"
						},
						{
							"field": "location",
							"format": "object"
						},
						{
							"field": "openingHours",
							"format": "array"
						}
					]
				}
			}
		},
		"reviews": {
			"title": "Reviews & Ratings",
			"transformation": {
				"fields": [
					"title",
					"totalScore",
					"reviewCount",
					"reviewsTags",
					"reviewsDistribution",
					"reviews",
					"popularTime"
				]
			},
			"display": {
				"component": "table",
				"properties": {
					"columns": [
						{
							"field": "title",
							"format": "text"
						},
						{
							"field": "totalScore",
							"format": "number"
						},
						{
							"field": "reviewCount",
							"format": "number"
						},
						{
							"field": "reviewsTags",
							"format": "array"
						},
						{
							"field": "reviewsDistribution",
							"format": "object"
						},
						{
							"field": "reviews",
							"format": "array"
						},
						{
							"field": "popularTime",
							"format": "array"
						}
					]
				}
			}
		},
		"location": {
			"title": "Location Details",
			"transformation": {
				"fields": [
					"title",
					"address",
					"street",
					"neighborhood",
					"district",
					"city",
					"countryCode",
					"postalCode",
					"location",
					"plusCode",
					"plusCodeUrl"
				]
			},
			"display": {
				"component": "table",
				"properties": {
					"columns": [
						{
							"field": "title",
							"format": "text"
						},
						{
							"field": "address",
							"format": "text"
						},
						{
							"field": "city",
							"format": "text"
						},
						{
							"field": "countryCode",
							"format": "text"
						},
						{
							"field": "location",
							"format": "object"
						},
						{
							"field": "plusCode",
							"format": "text"
						}
					]
				}
			}
		}
	}
}

.actor/input_schema.json

{
  "title": "Google Maps Scraper Input Schema",
  "type": "object",
  "schemaVersion": 1,
  "properties": {
    "keywords": {
      "title": "Keywords List",
      "type": "array",
      "description": "List of keywords to search for (e.g., 'coffee', 'restaurant', 'hotel').",
      "prefill": [],
      "editor": "stringList",
      "minItems": 1
    },
    "locationList": {
      "title": "Location List",
      "type": "array",
      "description": "List of location names to search in (e.g., 'new york', 'los angeles', 'tokyo').",
      "prefill": [],
      "editor": "stringList",
      "nullable": true
    },
    "shouldAdditionalDetails": {
      "sectionCaption": "Crawler settings",
      "title": "Scrape Additional Details",
      "type": "boolean",
      "description": "Whether to scrape additional details for each business (reviews, opening hours, etc.). Enabling this will take longer but provide more comprehensive data.",
      "default": true
    },
    "batchDetailsPerQuery": {
      "title": "Concurrent Detail Tabs",
      "type": "integer",
      "description": "Number of concurrent detail pages to scrape simultaneously. Higher values are faster but use more resources.",
      "default": 3,
      "minimum": 1,
      "maximum": 6
    },
    "proxyConfiguration": {
      "sectionCaption": "Crawler proxy",
      "title": "Proxy configuration",
      "type": "object",
      "description": "Select proxies to be used by your crawler.",
      "editor": "proxy"
    }
  },
  "required": ["keywords", "locationList"],
  "additionalProperties": false
}

scripts/ci-deploy.md

1# CI/CD 部署解决方案
2
3## 问题
4
5在 CI/CD 流水线中，`workspace:*` 协议不被 npm 支持，导致安装依赖失败：
6
7```
8npm error Unsupported URL Type "workspace:": workspace:*
9```
10
11## 解决方案 ✅
12
13### 推荐方案：CI/CD 预处理（自动化）
14
15在 CI/CD 流水线中使用以下步骤：
16
17```bash
18# 1. 准备CI/CD环境（移除workspace依赖，复制shared代码）
19npm run prepare:ci
20
21# 2. 修复import路径
22# 需要将源码中的 '@apify/shared' 改为 './shared'
23# routes.ts, parsePage.ts, data.url2list.ts
24
25# 3. 正常安装和构建
26npm install
27npm run build
28
29# 4. 完成后恢复开发环境（可选）
30npm run restore:dev
31```
32
33### 备选方案
34
35#### 方案 1：使用 pnpm（如果 CI/CD 支持）
36
37```bash
38pnpm install
39pnpm build
40```
41
42#### 方案 2：使用文件依赖
43
44手动修改 package.json：
45
46```json
47{
48  "dependencies": {
49    "@apify/shared": "file:../shared"
50  }
51}
52```
53
54#### 方案 3：发布内部包
55
56将 shared 包发布到私有 npm registry。
57
58## 脚本说明
59
60### `npm run prepare:ci`
61
62自动执行以下操作：
63
64- 备份原始 package.json 为 package.json.backup
65- 移除 workspace 依赖(@apify/shared)
66- 合并 shared 包的依赖到主包
67- 复制 shared 源代码到 src/shared（排除测试文件）
68
69### `npm run restore:dev`
70
71恢复开发环境：
72
73- 恢复原始 package.json
74- 删除复制的 shared 代码
75- 恢复 workspace 依赖
76
77## CI/CD 工作流示例
78
79### GitHub Actions
80
81```yaml
82name: Deploy
83jobs:
84  deploy:
85    steps:
86      - uses: actions/checkout@v3
87
88      - name: Setup Node.js
89        uses: actions/setup-node@v3
90        with:
91          node-version: "18"
92
93      - name: Prepare for CI/CD
94        run: |
95          cd packages/googleMap
96          npm run prepare:ci
97          # 手动修复import路径或使用sed/awk
98          sed -i "s/@apify\/shared/\.\/shared/g" src/routes.ts
99          sed -i "s/@apify\/shared/\.\/shared/g" src/parsePage.ts  
100          sed -i "s/@apify\/shared/\.\/shared/g" src/data.url2list.ts
101
102      - name: Install dependencies
103        run: |
104          cd packages/googleMap
105          npm install
106
107      - name: Build
108        run: |
109          cd packages/googleMap
110          npm run build
111
112      - name: Deploy
113        run: |
114          # 部署dist目录
115          echo "Deploy dist directory"
116```
117
118### 简化版（如果支持 pnpm）
119
120```yaml
121- name: Install with pnpm
122  run: |
123    npm install -g pnpm
124    pnpm install
125    pnpm nx build googleMap
126```
127
128## 手动步骤（测试用）
129
1301. **准备环境**
131
132   ```bash
133   cd packages/googleMap
134   npm run prepare:ci
135   ```
136
1372. **修复 import 路径**
138
139   ```bash
140   # 将以下文件中的导入修改：
141   # src/routes.ts: import { getRandomUserAgent } from './shared'
142   # src/parsePage.ts: import { getRandomUserAgent } from './shared'
143   # src/data.url2list.ts: import { scrollByQuerySelector } from './shared'
144   ```
145
1463. **构建**
147
148   ```bash
149   npm install
150   npm run build
151   ```
152
1534. **恢复开发环境**
154   ```bash
155   npm run restore:dev
156   ```
157
158## 注意事项
159
160- 生产环境构建完成后记得运行`restore:dev`恢复开发环境
161- import 路径修复可以通过脚本自动化
162- 这个方案避免了发布内部包的复杂性
163- 保持了开发环境的 monorepo 体验

scripts/copy-shared.cjs

1const fs = require('node:fs')
2const path = require('node:path')
3
4// 创建目标目录
5const targetDir = path.join(__dirname, '..', 'dist', 'shared')
6const sourceDir = path.join(__dirname, '..', '..', 'shared', 'src')
7
8// 递归复制目录
9function copyDir(src, dest) {
10  if (!fs.existsSync(dest)) {
11    fs.mkdirSync(dest, { recursive: true })
12  }
13
14  const entries = fs.readdirSync(src, { withFileTypes: true })
15
16  for (const entry of entries) {
17    const srcPath = path.join(src, entry.name)
18    const destPath = path.join(dest, entry.name)
19
20    if (entry.isDirectory()) {
21      copyDir(srcPath, destPath)
22    } else if (entry.name.endsWith('.ts') || entry.name.endsWith('.js')) {
23      fs.copyFileSync(srcPath, destPath)
24    }
25  }
26}
27
28try {
29  console.log('Copying shared dependencies...')
30  copyDir(sourceDir, targetDir)
31
32  // 复制分发版本的package.json
33  const distPackageJson = path.join(__dirname, '..', 'package.dist.json')
34  const targetPackageJson = path.join(__dirname, '..', 'dist', 'package.json')
35  fs.copyFileSync(distPackageJson, targetPackageJson)
36
37  console.log('Shared dependencies and package.json copied successfully!')
38  console.log(
39    'The dist folder now contains a standalone version ready for CI/CD',
40  )
41} catch (error) {
42  console.error('Error copying shared dependencies:', error)
43  process.exit(1)
44}

scripts/fix-imports.cjs

scripts/prepare-ci.cjs

1const fs = require('node:fs')
2const path = require('node:path')
3
4console.log('Preparing for CI/CD deployment...')
5
6// 1. 读取并修改package.json
7const packageJsonPath = path.join(__dirname, '..', 'package.json')
8const packageJson = JSON.parse(fs.readFileSync(packageJsonPath, 'utf8'))
9
10// 创建备份
11// const backupPath = path.join(__dirname, '..', 'package.json.backup')
12// fs.copyFileSync(packageJsonPath, backupPath)
13
14// 转换workspace依赖
15if (packageJson.dependencies) {
16  for (const [key, value] of Object.entries(packageJson.dependencies)) {
17    if (value.startsWith('workspace:')) {
18      if (key === '@apify/shared') {
19        // 获取shared包的依赖并合并
20        const sharedPackageJson = JSON.parse(
21          fs.readFileSync(
22            path.join(__dirname, '..', '..', 'shared', 'package.json'),
23            'utf8',
24          ),
25        )
26
27        // 移除workspace依赖
28        delete packageJson.dependencies[key]
29
30        // 合并shared包的依赖
31        if (sharedPackageJson.dependencies) {
32          Object.assign(
33            packageJson.dependencies,
34            sharedPackageJson.dependencies,
35          )
36        }
37      }
38    }
39  }
40}
41
42// 2. 复制shared源文件到src目录
43const targetSharedDir = path.join(__dirname, '..', 'src', 'shared')
44const sourceSharedDir = path.join(__dirname, '..', '..', 'shared', 'src')
45
46function copyDir(src, dest) {
47  if (!fs.existsSync(dest)) {
48    fs.mkdirSync(dest, { recursive: true })
49  }
50
51  const entries = fs.readdirSync(src, { withFileTypes: true })
52
53  for (const entry of entries) {
54    const srcPath = path.join(src, entry.name)
55    const destPath = path.join(dest, entry.name)
56
57    if (entry.isDirectory()) {
58      copyDir(srcPath, destPath)
59    } else if (
60      entry.name.endsWith('.ts') &&
61      !entry.name.includes('.test.') &&
62      !entry.name.includes('.spec.')
63    ) {
64      fs.copyFileSync(srcPath, destPath)
65    }
66  }
67}
68
69try {
70  copyDir(sourceSharedDir, targetSharedDir)
71
72  // 写回修改后的package.json
73  fs.writeFileSync(packageJsonPath, JSON.stringify(packageJson, null, 2))
74
75  console.log('✅ CI/CD preparation completed:')
76  console.log('  - Workspace dependencies removed and merged')
77  console.log('  - Shared source files copied to src/shared')
78  console.log('  - Original package.json backed up as package.json.backup')
79  console.log('\nNow you can run: npm install && npm run build')
80} catch (error) {
81  console.error('❌ Error during CI/CD preparation:', error)
82  process.exit(1)
83}
84
85// 循环查找引用@apify/shared的文件，并替换为./shared/index.js
86const srcDir = path.join(__dirname, '..', 'src')
87const files = fs.readdirSync(srcDir, { withFileTypes: true })
88
89console.log('  - 替换@apify/shared为./shared/index.js')
90for (const file of files) {
91  if (file.isFile() && file.name.endsWith('.ts')) {
92    const filePath = path.join(srcDir, file.name)
93    console.log('  ---- ', filePath)
94    const fileContent = fs.readFileSync(filePath, 'utf8')
95    if (fileContent.includes('@apify/shared')) {
96      fs.writeFileSync(
97        filePath,
98        fileContent.replace('@apify/shared', './shared/index.js'),
99      )
100    }
101  }
102}

scripts/restore-dev.cjs

1const fs = require('node:fs')
2const path = require('node:path')
3
4console.log('Restoring development environment...')
5
6try {
7  // 恢复原始package.json
8  const backupPath = path.join(__dirname, '..', 'package.json.backup')
9  const packageJsonPath = path.join(__dirname, '..', 'package.json')
10
11  if (fs.existsSync(backupPath)) {
12    fs.copyFileSync(backupPath, packageJsonPath)
13    fs.unlinkSync(backupPath)
14    console.log('✅ Original package.json restored')
15  }
16
17  // 删除复制的shared文件
18  const sharedDir = path.join(__dirname, '..', 'src', 'shared')
19  if (fs.existsSync(sharedDir)) {
20    fs.rmSync(sharedDir, { recursive: true, force: true })
21    console.log('✅ Copied shared files removed')
22  }
23
24  console.log('\n🔄 Development environment restored!')
25  console.log('You can now continue using pnpm and workspace: dependencies')
26} catch (error) {
27  console.error('❌ Error restoring development environment:', error)
28  process.exit(1)
29}
30
31// 循环查找引用的文件./shared/index.js，并替换为 @apify/shared
32const srcDir = path.join(__dirname, '..', 'src')
33const files = fs.readdirSync(srcDir, { withFileTypes: true })
34
35console.log('  - 替换 ./shared/index.js 为 @apify/shared')
36for (const file of files) {
37  if (file.isFile() && file.name.endsWith('.ts')) {
38    const filePath = path.join(srcDir, file.name)
39    const fileContent = fs.readFileSync(filePath, 'utf8')
40    if (fileContent.includes('./shared/index.js')) {
41      fs.writeFileSync(
42        filePath,
43        fileContent.replace('./shared/index.js', '@apify/shared'),
44      )
45    }
46  }
47}
48
49// 更新package.json
50const packageJsonPath = path.join(__dirname, '..', 'package.json')
51const packageJson = JSON.parse(fs.readFileSync(packageJsonPath, 'utf8'))
52packageJson.dependencies['@apify/shared'] = 'workspace:*'
53fs.writeFileSync(packageJsonPath, JSON.stringify(packageJson, null, 2))

src/data.list2details.ts

1import { Dataset, type PuppeteerCrawler, sleep } from 'crawlee'
2import { getProcessedPlaceCount, isPlaceIdUnprocessed } from './main.js'
3import {
4  extractJsonDataRobust,
5  getPageJsonData,
6  safeParseData,
7} from './parsePage.js'
8import type {
9  BusinessData,
10  BusinessDataDetail,
11  UserInputData,
12} from './types.js'
13
14/**
15 * 处理图片数据
16 * @param images 图片数组
17 * @returns 处理后的图片URL数组
18 */
19const processImages = (images?: any[]): string[] => {
20  if (!Array.isArray(images) || images.length === 0) {
21    return []
22  }
23
24  return images.map((image) => image?.[6]?.[0]).filter(Boolean) // 过滤掉undefined/null值
25}
26
27/**
28 * 处理营业时间数据
29 * @param openTime 营业时间数组
30 * @returns 格式化的营业时间对象
31 */
32const processOpenTime = (openTime?: any[]) => {
33  if (!Array.isArray(openTime) || openTime.length === 0) {
34    return []
35  }
36
37  return openTime.map((it) => {
38    return {
39      day: it[0],
40      hours: it[1]?.[0] || '',
41    }
42  })
43}
44
45const processAbout = (about: any) => {
46  if (!Array.isArray(about) || about.length === 0) {
47    return []
48  }
49
50  const results: { title: string; properties: { [key: string]: boolean } }[] =
51    []
52
53  for (const item of about) {
54    const result: { title: string; properties: { [key: string]: boolean } } = {
55      title: '',
56      properties: {},
57    }
58    const list = item[2]
59    result.title = item[1]
60    for (const it of list) {
61      if (it[1]) {
62        result.properties[it[1] as string] = it[2]?.[1]?.[0]?.[0] === 1
63      }
64    }
65    results.push(result)
66  }
67
68  return results
69}
70
71/**
72 * 提取单个商家数据
73 * @param businessItem 商家原始数据
74 * @returns 格式化的商家数据
75 */
76const extractBusinessData = async (
77  businessItem: any,
78  userData: UserInputData,
79): Promise<BusinessData> => {
80  const item = businessItem?.[1]
81
82  if (!item || !Array.isArray(item)) {
83    throw new Error('Invalid business item structure')
84  }
85
86  const latitude = item[9]?.[2] || 0
87  const longitude = item[9]?.[3] || 0
88  const title = item[11] || ''
89  const fid = item[10] || ''
90  const priceRange = item[4]?.[2] || ''
91  const website = item[4]?.[3]?.[0] || ''
92  const placeId = item[78] || ''
93  const kgmid = item[89] || ''
94
95  const url = `https://www.google.com/maps/search/?api=1&query=${title.replace(/ /g, '+')}&query_place_id=${placeId}`
96  const searchUrl = `https://www.google.com/maps/place/${title.replace(/ /g, '+')}/@${latitude},${longitude},17z/data=!3m1!4b1!4m6!3m5!1s${fid}!8m2!3d${latitude}!4d${longitude}!16s%2Fg%2F1w96hpcd?entry=ttu`
97  // const searchUrl = `https://www.google.com/maps/place/${title.replace(/ /g, '+')}/@${latitude},${longitude},17z/data=!4m6!3m5!1s${placeId}!8m2!3d${latitude}!4d${longitude}!16s${kgmid}?hl=en&entry=ttu`
98  const faqUrl = `https://www.google.com/local/place/qa/question/${fid}`
99  // const orderUrl = `https://www.google.com/viewer/chooseprovider?mid=${kgmid}&fo_s=OA&opi=79508299&ebb=1&cs=0&foub=mcpp`
100
101  // Dataset.pushData({pageUrl:searchUrl, itemText:item});	 // 打印列表中商店详情
102
103  return {
104    searchKeyword: userData.keyword,
105    searchLocation: userData.location,
106    fid: fid,
107    cid: item[37]?.[0]?.[0]?.[29]?.[1] || '',
108    placeId: placeId,
109    kgmid: kgmid,
110    title: title,
111    address: item[39] || '',
112    neighborhood: item[183]?.[1]?.[0] || '',
113    street: item[183]?.[1]?.[2] || '',
114    district: item[183]?.[1]?.[3] || '',
115    postalCode: item[183]?.[1]?.[4] || '',
116    city: item[183]?.[1]?.[5] || '',
117    countryCode: item[183]?.[1]?.[6] || item[243] || '',
118    phone: item[178]?.[0]?.[0] || '',
119    phoneUnformatted: item[178]?.[0]?.[3] || '',
120    currentStatus: item[203]?.[1]?.[8]?.[0] || '',
121    priceRange: priceRange,
122    location: {
123      lat: latitude,
124      lng: longitude,
125    },
126    url: url,
127    searchString: searchUrl,
128    website: website,
129    faqUrl: faqUrl,
130    totalScore: item[4]?.[7] || null,
131    reviewCount: item[4]?.[8] || null,
132    categoryName: item[164]?.[0]?.[1] || '',
133    categories: Array.isArray(item[13]) ? item[13] : [],
134    mainPicture: item[72]?.[0]?.[1]?.[6]?.[0] || '',
135    imageUrls: processImages(item[105]?.[0]?.[1]?.[0]),
136    openingHours: processOpenTime(item[34]?.[1]),
137    additionalInfo: processAbout(item[100]?.[1]),
138  }
139}
140
141/**
142 * 解析Google Maps搜索结果
143 * @param rawText 原始响应文本
144 * @returns 解析后的商家数据数组
145 */
146const parseGoogleMapsResults = async (
147  dataList: any[],
148  userData: UserInputData,
149): Promise<BusinessData[]> => {
150  if (!Array.isArray(dataList) || dataList.length === 0 || !dataList[64]) {
151    console.warn('⚠️  No business list data found')
152    return []
153  }
154
155  const businessList = dataList[64]
156  const results: BusinessData[] = []
157  try {
158    console.log(` 👓 Found ${businessList.length} business entries`)
159
160    for (const [index, businessItem] of businessList.entries()) {
161      const businessData = await extractBusinessData(businessItem, userData)
162      // 验证必要字段
163      if (!businessData.title) {
164        console.warn(` ⚠️ Business data parsing failed (index: ${index})`)
165        continue
166      }
167
168      if (isPlaceIdUnprocessed(businessData.placeId)) {
169        results.push(businessData)
170        console.log(`  Get item ${index}: ${businessData.title}`)
171      } else {
172        console.log(`  x skip ${index}: ${businessData.title}`)
173      }
174    }
175
176    console.log(
177      `Got ${results.length} businesses, deduplicated ${businessList.length - results.length}, total: ${getProcessedPlaceCount()}`,
178    )
179  } catch (error) {
180    // Dataset.pushData({errorOperation:'解析过程中发生错误', error:error,dataList:dataList,businessList: businessList});
181    console.error(' ❌ Parsing error:', error)
182    throw error
183  }
184
185  if (!userData.shouldAdditionalDetails) {
186    Dataset.pushData(results)
187  }
188  return results
189}
190
191/**
192 * 解析Google Maps搜索结果列表
193 * @param dataList 原始数据列表
194 * @returns 解析后的商家数据列表
195 */
196const parseGoogleMapsResultsList = async (
197  dataList: any[],
198  userData: UserInputData,
199): Promise<BusinessData[]> => {
200  const businessDataList: BusinessData[] = []
201  if (dataList.length > 0) {
202    for (const rawText of dataList) {
203      const parsedData = safeParseData(rawText)
204      const businessData = await parseGoogleMapsResults(parsedData, userData)
205      businessDataList.push(...businessData)
206    }
207  }
208
209  return businessDataList
210}
211
212const processImageCategories = (imageCategories: any[]): string[] => {
213  // Dataset.pushData({imageCategories:imageCategories});
214  if (!Array.isArray(imageCategories) || imageCategories.length === 0) {
215    return []
216  }
217  return (
218    imageCategories.map((item) => item[2])?.filter((x) => x !== 'All') || []
219  )
220}
221
222const processReviewsTags = (
223  reviewsTag: any[],
224): { title: string; count: number }[] => {
225  // Dataset.pushData({reviewsTag:reviewsTag});
226  if (!Array.isArray(reviewsTag) || reviewsTag.length === 0) {
227    return []
228  }
229  return reviewsTag.map((item) => {
230    return { title: item[1], count: item[3]?.[4] || 0 }
231  })
232}
233
234/**
235 * 处理评论数据
236 * @param reviews 评论数据
237 * @returns 格式化的评论数据
238 */
239const processReviews = (reviews: any[]): Record<string, any>[] => {
240  if (!Array.isArray(reviews) || reviews.length === 0) {
241    return []
242  }
243
244  const processReviewDetailedRating = (publish: any[]) => {
245    if (!Array.isArray(publish) || publish.length === 0) {
246      return {}
247    }
248    const result: any = {}
249    for (const it of publish) {
250      result[it[5]] = it[11]?.[0] || it[2]?.[0]?.[0]?.[1] || ''
251    }
252    return result
253  }
254
255  return reviews.map((it) => {
256    const item = it[0]?.[1]
257    const review = it[0]?.[2]
258    const response = it[0]?.[3]
259    const likes = it[0]?.[4]
260    return {
261      reviewId: item[4]?.[5]?.[10]?.[5]?.[1] || '',
262      name: item[4]?.[5]?.[0],
263      text: review[15]?.[0]?.[0] || '',
264      textTranslated: review[14]?.[0] || '',
265      publishAt: item[6] || '',
266      publishedAtDate: item[3] || '',
267      stars: item[4]?.[5]?.[9] || 0,
268      rating: review[0]?.[0] || 0,
269      likesCount: likes[6]?.[1]?.[0]?.[0]?.[0] || 0,
270      reviewUrl: item[4]?.[2]?.[0] || '',
271      reviewerId: item[4]?.[5]?.[3] || '',
272      reviewerUrl: item[4]?.[5]?.[2]?.[0] || '',
273      reviewerPhotoUrl: item[4]?.[5]?.[1] || '',
274      reviewerNumberOfReviews: item[4]?.[5]?.[5] || 0,
275      reviewerPhotosOfReviews: item[4]?.[5]?.[6] || 0,
276      isLocalGuide: item[4]?.[5]?.[8]?.[0] === 1 || false,
277      reviewOrigin: '',
278      reviewImageUrls:
279        review[2]?.map((it: any) => it?.[1]?.[6]?.[0] || '') || [],
280      reviewDetailedRating: processReviewDetailedRating(review[6]),
281      responseFromOwnerAt: response[3] || '',
282      responseFromOwnerDate: response[2] || '',
283      responseFromOwnerText: response[14]?.[0]?.[0] || '',
284    }
285  })
286}
287
288/**
289 * 处理繁忙时段数据
290 * @param popularTime 繁忙时段数据
291 * @returns 格式化的繁忙时段对象
292 */
293const processPopularTime = (popularTime: any[]) => {
294  // Dataset.pushData({popularTime:popularTime});
295  if (!Array.isArray(popularTime)) {
296    return []
297  }
298
299  const defaultTime = [
300    'Monday',
301    'Tuesday',
302    'Wednesday',
303    'Thursday',
304    'Friday',
305    'Saturday',
306    'Sunday',
307  ]
308
309  return popularTime.map((it) => {
310    return {
311      day: defaultTime[it[0] - 1] || '',
312      hours: (it[1] || []).map((x: any) => x?.slice(0, 2)),
313    }
314  })
315}
316
317const prefeatDetail = async (
318  item: BusinessData,
319  crawler: PuppeteerCrawler,
320): Promise<BusinessDataDetail> => {
321  let detail: BusinessDataDetail = {
322    ...item,
323    plusCode: '',
324    plusCodeUrl: '',
325    delivery: '',
326    description: '',
327    imageCategories: [],
328    reviewsTags: [],
329    reviews: [],
330    popularTime: [],
331    faqUrl: '',
332  }
333
334  if (!item.url) {
335    detail = { ...detail, getDetailError: 'noPageUrl' }
336  }
337
338  // 从页面获取数据
339  const tempData = await getPageJsonData(item.url, crawler)
340  // images  $[6][105][0][1][0]
341  // video   $[6][51][0][1][26]      ||    $[6][171][0][2][3][0][26][1]
342  // highlight $[6][120][4][0][1]
343  // reviews  $[6][175][9][0][0]
344  if (tempData && Array.isArray(tempData) && tempData?.[3]) {
345    // 使用稳定的jsonData提取函数
346    let jsonData = extractJsonDataRobust(tempData, 3)
347
348    if (Array.isArray(jsonData)) {
349      jsonData = jsonData[6]
350    }
351
352    if (!jsonData) {
353      detail = { ...detail, getDetailError: 'noJsonData' }
354    }
355
356    const jsData = safeParseData(jsonData)
357
358    // Dataset.pushData({url:item.url,prefeatDetailData:jsData}); // 打印详情数据
359
360    if (jsData && Array.isArray(jsData) && jsData[6]) {
361      const item = jsData[6]
362      const plusCode = item[183]?.[2]?.[2]?.[0] || ''
363      const descr = {
364        priceRange: item[4]?.[2] || item.priceRange,
365        website: item[38]?.[0] || item.website,
366        // imageUrl: item[72]?.[0]?.[1]?.[6]?.[0]||'',
367        plusCode: plusCode,
368        plusCodeUrl: plusCode
369          ? `https://plus.codes/${plusCode.replace(/ /g, '+')}`
370          : '',
371        delivery: item[100]?.[1]?.[0]?.[2]?.[1]?.[1] || '',
372        imageCategories: processImageCategories(item[171]?.[0] || []),
373        description: item[154]?.[0]?.[0] || item[32]?.[1]?.[1] || '',
374        menuPictures: processImages(item[105]?.[0]?.[1]?.[0] || []),
375        highlightPictures:
376          (item[120]?.[4]?.[0]?.[1] || [])?.map(
377            (it: any) => it[6]?.[0]?.[6]?.[0] || null,
378          ) || [],
379        videos:
380          item[51]?.[0]?.[1]?.[26]?.[1]?.map((it: any) => it[3] || null) || [],
381        reviewsDistribution: {
382          oneStar: item[175]?.[3]?.[0] || 0,
383          twoStar: item[175]?.[3]?.[1] || 0,
384          threeStar: item[175]?.[3]?.[2] || 0,
385          fourStar: item[175]?.[3]?.[3] || 0,
386          fiveStar: item[175]?.[3]?.[4] || 0,
387        },
388        peopleAlsoSearch:
389          item[99]?.[0]?.[0]?.[1]
390            ?.map((it: any) => {
391              return (
392                it[1]?.[11] && {
393                  category: item[99]?.[0]?.[0]?.[0],
394                  title: it[1]?.[11] || '',
395                  reviewsCount: it[1]?.[4]?.[8] || 0,
396                  totalScore: it[1]?.[4]?.[7] || 0,
397                }
398              )
399            })
400            ?.filter((x: any) => !!x) || [],
401        reviews: processReviews(item[175]?.[9]?.[0]?.[0] || []),
402        openingHours: processOpenTime(item[34]?.[1]),
403        additionalInfo: processAbout(item[100]?.[1]),
404        reviewsTags: processReviewsTags(item[153]?.[0] || []),
405        popularTime: processPopularTime(item[84]?.[0]),
406      }
407      detail = { ...detail, ...descr }
408    } else {
409      // Dataset.pushData({url:item.url,jsData:jsData,index:index,jsonData:jsonData, tempData:tempData});
410    }
411  } else {
412    detail = {
413      ...detail,
414      getDetailError: `arrayerror:${tempData.name || 'unknown'}`,
415    }
416    // Dataset.pushData({url:item.url,errorDetailData:tempData,index:index});
417  }
418
419  Dataset.pushData(detail)
420  return detail
421}
422/**
423 * 预处理商家数据 - 并发版本，同时保持10个网页
424 * @param list 商家数据列表
425 * @param crawler 爬虫实例
426 * @returns 预处理后的商家数据列表
427 */
428const prefeatBusinessData = async (
429  list: BusinessData[],
430  crawler: PuppeteerCrawler,
431  batchTab: number,
432): Promise<BusinessDataDetail[]> => {
433  if (batchTab > 5) batchTab = 5
434  const CONCURRENT_PAGES = batchTab || 1 // 同时保持10个网页
435  const results: BusinessDataDetail[] = []
436  const errorList: BusinessData[] = []
437
438  console.log(
439    ` Starting concurrent scraping of ${list.length} business details with ${CONCURRENT_PAGES} tabs`,
440  )
441
442  // 分批处理，每批并发处理10条
443  for (let i = 0; i < list.length; i += CONCURRENT_PAGES) {
444    const batch = list.slice(i, i + CONCURRENT_PAGES)
445    const batchNumber = Math.floor(i / CONCURRENT_PAGES) + 1
446    const totalBatches = Math.ceil(list.length / CONCURRENT_PAGES)
447
448    console.log(
449      ` Batch start ${batchNumber}/${totalBatches}, ${batch.length} items (${i + 1}-${Math.min(i + CONCURRENT_PAGES, list.length)})`,
450    )
451
452    // 并发处理当前批次
453    const batchPromises = batch.map(async (item, index) => {
454      const globalIndex = i + index + 1
455      try {
456        console.log(
457          `   [${globalIndex}/${list.length}] Processing: ${item.title}`,
458        )
459        const startTime = Date.now()
460
461        const detailData = await prefeatDetail(item, crawler)
462
463        const duration = Date.now() - startTime
464        console.log(
465          `   [${globalIndex}/${list.length}] Done: ${item.title} (${duration}ms)`,
466        )
467        return detailData
468      } catch (error) {
469        console.error(
470          `  ❌ [${globalIndex}/${list.length}] Failed: ${item.title}`,
471          error,
472        )
473        errorList.push(item)
474        // return item as BusinessDataDetail; // 返回原始数据
475        return null
476      }
477    })
478
479    // 等待当前批次的所有任务完成
480    const batchStartTime = Date.now()
481    const batchResults = await Promise.all(batchPromises)
482    const batchDuration = Date.now() - batchStartTime
483
484    results.push(...batchResults.filter((x) => x !== null))
485
486    console.log(
487      ` Batch end ${batchNumber}/${totalBatches} (${batchDuration}ms), completed ${results.length}/${list.length}`,
488    )
489
490    // 批次间短暂休息，避免过度负载
491    if (i + CONCURRENT_PAGES < list.length) {
492      console.log('  sleep 1s ······ ')
493      await sleep(1000)
494    }
495  }
496
497  console.log(
498    `✅Concurrent scraping completed! Processed ${results.length} businesses, error ${errorList.length}`,
499  )
500
501  // 进行一次补偿，处理未处理的商家
502  for (const item of errorList) {
503    try {
504      console.log(`    Re-Processing: ${item.title}`)
505      const startTime = Date.now()
506      const detailData = await prefeatDetail(item, crawler)
507      const duration = Date.now() - startTime
508      console.log(`    Re-Processing done: ${item.title} (${duration}ms)`)
509      results.push(detailData)
510    } catch (error) {
511      console.error(`   ❌ Re-Processing failed: ${item.title}`, error)
512      results.push(item as unknown as BusinessDataDetail)
513    }
514  }
515
516  console.log('Detail data scraped:', list.length)
517  return results
518}
519
520export {
521  parseGoogleMapsResults,
522  parseGoogleMapsResultsList,
523  prefeatBusinessData,
524  safeParseData,
525}

src/data.map2url.ts

1import * as turf from '@turf/turf'
2import type { Feature, MultiPolygon, Polygon } from 'geojson'
3import { ne_110m_land } from './ne_110m_land.js'
4import { getPageHtmlText } from './parsePage.js'
5import type {
6  GridPoint,
7  LocationInfo,
8  NominatimResponse,
9  ProcessedLocation,
10  UrlData,
11} from './types.js'
12
13// ===== 地理计算工具函数 =====
14
15/**
16 * 计算两点间的球面距离（哈弗赛因公式）
17 * @param lat1 起点纬度
18 * @param lon1 起点经度
19 * @param lat2 终点纬度
20 * @param lon2 终点经度
21 * @returns 距离（公里）
22 */
23const calculateSphericalDistance = (
24  lat1: number,
25  lon1: number,
26  lat2: number,
27  lon2: number,
28): number => {
29  const R = 6371.0 // Earth's radius in kilometers
30  const lat1Rad = (lat1 * Math.PI) / 180
31  const lon1Rad = (lon1 * Math.PI) / 180
32  const lat2Rad = (lat2 * Math.PI) / 180
33  const lon2Rad = (lon2 * Math.PI) / 180
34
35  const deltaLat = lat2Rad - lat1Rad
36  const deltaLon = lon2Rad - lon1Rad
37
38  const a =
39    Math.sin(deltaLat / 2) ** 2 +
40    Math.cos(lat1Rad) * Math.cos(lat2Rad) * Math.sin(deltaLon / 2) ** 2
41  const c = 2 * Math.atan2(Math.sqrt(a), Math.sqrt(1 - a))
42
43  return R * c
44}
45
46const calculateArea = (geometry: Feature<Polygon | MultiPolygon>): number => {
47  const area = turf.area(geometry) / 1_000_000 // Convert to square kilometers
48  return area // Convert to square kilometers
49}
50
51const calculateOptimalZoom = (distance: number, area: number): number => {
52  if (area < 300) {
53    if (distance < 1) return 17
54    if (distance < 5) return 16
55    if (distance < 10) return 15
56    return 14
57  }
58
59  if (area < 3000) {
60    if (distance < 4) return 16
61    if (distance < 15) return 15
62    return 14
63  }
64
65  if (distance < 6) return 16
66  if (distance < 20) return 15
67  return 14
68}
69
70const normalizeAddressType = (
71  addressType: string,
72  addressName: string,
73  displayName: string,
74): { type: string; name: string } => {
75  const validTypes = [
76    'country',
77    'province',
78    'state',
79    'city',
80    'region',
81    'county',
82  ]
83
84  if (validTypes.includes(addressType)) {
85    if (['region', 'county'].includes(addressType)) {
86      const countryName = displayName.split(',').pop()?.trim() || addressName
87      return { type: 'country', name: countryName }
88    }
89    return { type: addressType, name: addressName }
90  }
91  console.log('---displayName---', displayName)
92  const cityName =
93    displayName?.split(',')?.slice(-2, -1)[0]?.trim() || addressName
94  return { type: 'city', name: cityName }
95}
96
97const processLocationResponse = (
98  response: NominatimResponse[],
99): { locationInfo: LocationInfo; addressType: string; addressName: string } => {
100  let item: NominatimResponse | undefined
101
102  for (const it of response) {
103    if (['Polygon', 'MultiPolygon'].includes(it.geojson.type)) {
104      item = it
105      break
106    }
107  }
108
109  if (!item) {
110    throw new Error('Invalid geometry type, expected Polygon or MultiPolygon')
111  }
112
113  const { lat, lon, geojson, addresstype, name, display_name } = item
114
115  const geometry: Feature<Polygon | MultiPolygon> = turf.feature(geojson)
116  const bounds = turf.bbox(geometry) as [number, number, number, number]
117
118  const { type: normalizedType, name: normalizedName } = normalizeAddressType(
119    addresstype,
120    name,
121    display_name,
122  )
123
124  return {
125    locationInfo: {
126      lat: Number.parseFloat(lat),
127      lon: Number.parseFloat(lon),
128      bounds,
129      geometry,
130    },
131    addressType: normalizedType,
132    addressName: normalizedName,
133  }
134}
135
136const createSearchGrid = (
137  polygon: Feature<Polygon | MultiPolygon>,
138  gridSize: number,
139): [number, number][] => {
140  const bounds = turf.bbox(polygon)
141  const [minX, minY, maxX, maxY] = bounds
142
143  const latStep = (maxY - minY) / gridSize
144  const lonStep = (maxX - minX) / gridSize
145
146  const points: [number, number][] = []
147
148  for (let i = 0; i < gridSize; i++) {
149    for (let j = 0; j < gridSize; j++) {
150      const lat = minY + i * latStep
151      const lon = minX + j * lonStep
152      const point = turf.point([lon, lat])
153
154      if (turf.booleanPointInPolygon(point, polygon)) {
155        points.push([lat, lon])
156      }
157    }
158  }
159
160  return points
161}
162
163const determineGridSize = (totalArea: number): number => {
164  if (totalArea < 0.5) return 8 // 最小社区/街区 约64个点
165  if (totalArea < 2) return 10 // 小型社区/町丁目 约100个点
166  if (totalArea < 5) return 12 // 中型社区/洞 约144个点
167  if (totalArea < 20) return 14 // 大型社区/小型乡镇 约196个点
168  if (totalArea < 50) return 16 // 中型乡镇 约256个点
169  if (totalArea < 100) return 18 // 大型乡镇/小型区 约324个点
170  if (totalArea < 500) return 20 // 中小区/县 约400个点
171  if (totalArea < 1000) return 22 // 中型区/县 约484个点
172  if (totalArea < 2000) return 24 // 大型区/县 约576个点
173  if (totalArea < 5000) return 26 // 小型地级市 约676个点
174  if (totalArea < 10000) return 28 // 中型地级市 约784个点
175  if (totalArea < 20000) return 30 // 大型地级市 约900个点
176  if (totalArea < 50000) return 32 // 小型省份/都道府县 约1024个点
177  return 34 // 大型省份 约1156个点
178}
179
180const processMultiPolygon = (
181  multiPolygon: Feature<MultiPolygon>,
182  totalArea: number,
183  baseGridSize: number,
184): GridPoint[] => {
185  const allPoints: GridPoint[] = []
186
187  multiPolygon.geometry.coordinates.forEach((polygonCoords, index) => {
188    const polygon = turf.polygon(polygonCoords)
189    const area = calculateArea(polygon)
190    const centroid = turf.centroid(polygon)
191    const [centerLon, centerLat] = centroid.geometry.coordinates
192
193    const areaRatio = area / totalArea
194    const gridSize = Math.max(
195      3,
196      Math.floor(baseGridSize * Math.sqrt(areaRatio)),
197    )
198    const gridPoints = createSearchGrid(polygon, gridSize)
199
200    console.log(
201      `    Area ${index + 1}: ${area.toFixed(2)} km², grid points: ${gridPoints.length}`,
202    )
203
204    const regionPoints = gridPoints.map(([lat, lon]) => {
205      const distance = calculateSphericalDistance(
206        lat,
207        lon,
208        centerLat,
209        centerLon,
210      )
211      return {
212        latitude: lat,
213        longitude: lon,
214        region_index: index + 1,
215        zoom: calculateOptimalZoom(distance, area),
216      }
217    })
218
219    allPoints.push(...regionPoints)
220  })
221
222  return allPoints
223}
224
225const processPolygon = (
226  polygon: Feature<Polygon>,
227  baseGridSize: number,
228): GridPoint[] => {
229  const area = calculateArea(polygon)
230  const centroid = turf.centroid(polygon)
231  const [centerLon, centerLat] = centroid.geometry.coordinates
232
233  console.log(`Processing area: ${area.toFixed(2)} km²`)
234
235  const gridPoints = createSearchGrid(polygon, baseGridSize)
236
237  return gridPoints.map(([lat, lon]) => {
238    const distance = calculateSphericalDistance(lat, lon, centerLat, centerLon)
239    return {
240      latitude: lat,
241      longitude: lon,
242      region_index: 1,
243      zoom: calculateOptimalZoom(distance, area),
244    }
245  })
246}
247
248// 主要处理函数
249const processLocation = (
250  locationInfo: LocationInfo,
251  addressType: string,
252  addressName: string,
253): ProcessedLocation => {
254  try {
255    console.log(`Processing: ${addressName} location ...`)
256
257    const { geometry } = locationInfo
258    const processedGeometry = geometry
259
260    // 🌊 海域去除逻辑 - 使用 Natural Earth 数据进行精确检查
261    // 已集成 Natural Earth 110m 分辨率陆地边界数据
262    // 使用 turf.booleanPointInPolygon 进行精确的陆地/海域判断
263
264    // 岛屿国家检测和特殊处理
265    // const isIslandCountry = ['Iceland', 'Japan', 'United Kingdom', 'Philippines', 'Indonesia', 'New Zealand', 'Madagascar'].includes(addressName);
266    // if (isIslandCountry) {
267    // 	console.log(`🏝️  检测到岛屿国家/地区: ${addressName}, 将应用精确陆地过滤`);
268    // }
269
270    const totalArea = calculateArea(processedGeometry)
271    const baseGridSize = determineGridSize(totalArea)
272
273    console.log(
274      `  Total area: ${totalArea.toFixed(2)} km², using base grid size: ${baseGridSize}`,
275    )
276
277    let allPoints: GridPoint[] = []
278
279    if (processedGeometry.geometry.type === 'MultiPolygon') {
280      allPoints = processMultiPolygon(
281        processedGeometry as Feature<MultiPolygon>,
282        totalArea,
283        baseGridSize,
284      )
285    } else {
286      allPoints = processPolygon(
287        processedGeometry as Feature<Polygon>,
288        baseGridSize,
289      )
290    }
291
292    // 🌊 后处理：使用真实陆地数据过滤海域点位
293    const filteredPoints = filterOceanPoints(allPoints, addressName)
294
295    if (filteredPoints.length > 0) {
296      console.log(
297        `Successfully generated ${filteredPoints.length} land grid points (original points: ${allPoints.length})`,
298      )
299
300      // 统计各缩放级别的点位数量
301      const zoomCounts = filteredPoints.reduce(
302        (acc, point) => {
303          const key = `zoom-${point.zoom}`
304          acc[key] = (acc[key] || 0) + 1
305          return acc
306        },
307        {} as Record<string, number>,
308      )
309
310      console.log('Zoom level distribution:', zoomCounts)
311    } else {
312      console.warn(
313        '⚠️  Warning: All points were filtered out, possibly need to adjust filtering rules',
314      )
315    }
316
317    return {
318      points: filteredPoints,
319      addressType,
320      addressName,
321    }
322  } catch (error) {
323    console.error('Error processing location:', error)
324    throw error
325  }
326}
327
328// 🌊 海域点位过滤函数（使用真实陆地数据）
329const filterOceanPoints = (
330  points: GridPoint[],
331  locationName: string,
332): GridPoint[] => {
333  console.log('Starting precise land/ocean filtering...')
334
335  // Parse land data once at module load
336  const landPolygons: Feature<Polygon | MultiPolygon>[] =
337    ne_110m_land.features as Feature<Polygon | MultiPolygon>[]
338
339  // 如果没有陆地数据，回退到简化规则
340  if (landPolygons.length === 0) {
341    console.warn(
342      '⚠️  Land data not loaded, using simplified ocean filtering rules',
343    )
344    return filterOceanPointsFallback(points, locationName)
345  }
346
347  let landPointCount = 0
348  let oceanPointCount = 0
349
350  const filteredPoints = points.filter((point) => {
351    const { latitude, longitude } = point
352
353    // 创建 turf 点
354    const turfPoint = turf.point([longitude, latitude])
355
356    // 检查点是否在任何陆地多边形内
357    const isOnLand = landPolygons.some((polygon) => {
358      try {
359        return turf.booleanPointInPolygon(turfPoint, polygon)
360      } catch (error) {
361        // 如果 turf 计算出错，保守地保留该点
362        console.warn(`turf.booleanPointInPolygon 计算错误: ${error}`)
363        return true
364      }
365    })
366
367    if (isOnLand) {
368      landPointCount++
369
370      // 对于某些地区，可能需要额外的精细化规则
371      if (locationName === 'Japan') {
372        // 日本的额外边界检查（防止包含过多外海小岛）
373        if (
374          longitude < 129 ||
375          longitude > 146 ||
376          latitude < 30 ||
377          latitude > 46
378        ) {
379          oceanPointCount++
380          return false
381        }
382      }
383
384      return true
385    }
386
387    oceanPointCount++
388    return false
389  })
390
391  console.log(
392    `Land/ocean filtering completed: ${landPointCount} land points, ${oceanPointCount} ocean points filtered, retention rate: ${((landPointCount / points.length) * 100).toFixed(1)}%`,
393  )
394
395  return filteredPoints
396}
397
398// 🌊 简化的海域过滤函数（后备方案）
399const filterOceanPointsFallback = (
400  points: GridPoint[],
401  locationName: string,
402): GridPoint[] => {
403  console.log('🔄 Using simplified ocean filtering rules...')
404
405  return points.filter((point) => {
406    const { latitude, longitude } = point
407
408    // 基本的陆地检查（粗糙规则）
409    // 排除极地海域
410    if (latitude > 80 || latitude < -80) {
411      return false
412    }
413
414    // 排除明显的海域区域（太平洋中部等）
415    if (
416      longitude > -140 &&
417      longitude < -120 &&
418      latitude > 20 &&
419      latitude < 40
420    ) {
421      return false // 太平洋中北部
422    }
423
424    // 大西洋中部
425    if (longitude > -40 && longitude < -10 && latitude > 10 && latitude < 40) {
426      return false
427    }
428
429    // 印度洋中部
430    if (longitude > 60 && longitude < 100 && latitude > -30 && latitude < 10) {
431      return false
432    }
433
434    // 针对特定地区的规则
435    if (locationName === 'Japan') {
436      // 日本海域过滤规则
437      if (
438        longitude < 129 ||
439        longitude > 146 ||
440        latitude < 30 ||
441        latitude > 46
442      ) {
443        return false
444      }
445    }
446
447    if (locationName === 'United Kingdom' || locationName === 'UK') {
448      // 英国海域过滤
449      if (longitude < -8 || longitude > 2 || latitude < 49 || latitude > 61) {
450        return false
451      }
452    }
453
454    if (locationName === 'Philippines') {
455      // 菲律宾海域过滤
456      if (longitude < 116 || longitude > 127 || latitude < 4 || latitude > 21) {
457        return false
458      }
459    }
460
461    return true // 保留该点位
462  })
463}
464
465// 获取得到数据url
466const getMapUrlList = async (
467  location: string,
468  keywords: string[],
469): Promise<UrlData[]> => {
470  const url = `https://nominatim.openstreetmap.org/search.php?q=${location}&format=jsonv2&polygon_geojson=1`
471  const html = await getPageHtmlText(url)
472  const locationData = JSON.parse(html)
473
474  // console.log("---1---", locationData.length);
475  const { locationInfo, addressType, addressName } =
476    processLocationResponse(locationData)
477
478  // console.log("---2---", addressName, "---2.1---",  addressType, "---2.2---", locationInfo);
479  const allPoints = await processLocation(
480    locationInfo,
481    addressType,
482    addressName,
483  )
484
485  // 地理切片
486  const realCoordsOnPage: string[] = []
487  for (const realCoords of allPoints.points) {
488    realCoordsOnPage.push(
489      `@${realCoords.latitude},${realCoords.longitude},${realCoords.zoom}z`,
490    )
491  }
492
493  const urls: Array<UrlData> = []
494
495  for (const keyword of keywords) {
496    // const zoomLevelsUrl = getZoomLevelsUrl(`https://www.google.com/maps/search/${keyword}/`, realCoordsOnPage);
497
498    const initUrl = `https://www.google.com/maps/search/${keyword}/`
499
500    // 获取缩放级别URL
501    for (const realCoord of realCoordsOnPage) {
502      const url = `${initUrl.split('@')[0]}${realCoord}?hl=en`
503      // allNextZoomLevelUrls.push(url);
504      urls.push({
505        url,
506        userData: { keyword: keyword, location: location },
507      })
508    }
509  }
510
511  console.log(
512    `${location} Geographic slicing completed, generated ${realCoordsOnPage.length} coordinate points, ${urls.length} slice links`,
513  )
514  return urls
515}
516
517export { getMapUrlList }

src/data.url2list.ts

1import type { Page } from 'puppeteer'
2import { scrollByQuerySelector } from './shared/index.js'
3
4// 🗺️ 导航到 Google Maps 并搜索关键词
5const searchKeyword = async (
6  newPage: Page,
7  keyword: string,
8): Promise<string> => {
9  console.log(` Searching keyword: ${keyword}`)
10
11  // 检查是否遇到验证码
12  if (newPage.url().includes('sorry/index')) {
13    throw new Error('Encountered a captcha page')
14  }
15
16  // 滚动加载更多数据
17  console.log(' Scrolling to load more data...')
18
19  // 执行滚动，同时监控网络状态
20  const scrollPromise = scrollByQuerySelector(newPage, '[role="feed"]')
21
22  let timer: NodeJS.Timeout | null = null
23  // 等待滚动完成或网络空闲（取较先完成的一个，但最多等30秒）
24  let timeoutPromise: any = new Promise<boolean>((resolve) => {
25    timer = setTimeout(() => {
26      console.log(' ⏰ Scroll timeout, forcing end')
27      resolve(false)
28    }, 120000) // 120秒超时
29  })
30
31  await Promise.race([scrollPromise, timeoutPromise])
32
33  // 已经加载完成，释放内存
34  timeoutPromise = null
35  timer && clearTimeout(timer)
36
37  console.log('🎯 Data loading completed!')
38  const currentUrl = await newPage.evaluate(() => window.location.href)
39  console.log(`Slice data loading completed, URL: ${currentUrl}`)
40  return currentUrl
41}
42
43export { searchKeyword }

src/main.ts

1// Apify SDK - toolkit for building Apify Actors (Read more at https://docs.apify.com/sdk/js/).
2import { Actor } from 'apify'
3// Web scraping and browser automation library (Read more at https://crawlee.dev)
4import { PuppeteerCrawler, type PuppeteerCrawlerOptions } from 'crawlee'
5import { getMapUrlList } from './data.map2url.js'
6import { router } from './routes.js'
7import type { UrlData } from './types.js'
8
9// The init() call configures the Actor for its environment. It's recommended to start every Actor with an init().
10await Actor.init()
11
12interface Input {
13  // 关键词列表 默认值 ['coffee', 'club']
14  keywords: string[]
15  // 地区名称 默认值 ['new york','los angeles']
16  locationList?: string[]
17  // 是否要采集详情 默认值true
18  shouldAdditionalDetails?: boolean
19  // 并发采集详情页数 默认值3 最大值6
20  batchDetailsPerQuery?: number
21  // Apify 标准代理配置 - 由 Apify UI 自动管理
22  proxyConfiguration?: any
23}
24
25// Define the URLs to start the crawler with - get them from the input of the Actor or use a default list.
26// const { startUrls = ['https://apify.com'] } = (await Actor.getInput<Input>()) ?? {};
27const input = ((await Actor.getInput<Input>()) ?? {}) as Input
28
29const {
30  keywords = [],
31  locationList = [],
32  shouldAdditionalDetails = true,
33  batchDetailsPerQuery = 3,
34  proxyConfiguration,
35} = input
36
37if (!keywords || keywords.length === 0) {
38  throw new Error('Please provide a list of keywords to search')
39}
40
41// ===== Apify 代理配置处理 =====
42
43/**
44 * 处理 Apify 标准代理配置
45 * 直接使用从 input 中传入的 proxyConfiguration 对象
46 * 该对象由 Apify UI 的代理选择器自动生成
47 */
48console.log(
49  '🔧 Proxy configuration received:',
50  proxyConfiguration ? 'enabled' : 'disabled',
51)
52
53// 创建最终的代理配置
54// 如果用户在 UI 中配置了代理，proxyConfiguration 将包含完整的代理设置
55// 如果未配置代理，则 proxyConfiguration 为 undefined，使用直连
56const finalProxyConfiguration = proxyConfiguration
57  ? await Actor.createProxyConfiguration(proxyConfiguration)
58  : null
59
60if (finalProxyConfiguration) {
61  console.log('✅ Proxy configuration applied successfully')
62} else {
63  console.log('🚫 No proxy configuration - using direct connection')
64}
65// Create a PuppeteerCrawler that will use the proxy configuration and and handle requests with the router from routes.ts file.
66
67const crawler = new PuppeteerCrawler({
68  headless: false,
69  ...(finalProxyConfiguration && {
70    proxyConfiguration: finalProxyConfiguration,
71  }),
72  launchContext: {
73    launchOptions: {
74      args: [
75        '--disable-gpu',
76        '--no-sandbox',
77        '--disable-setuid-sandbox',
78        '--disable-dev-shm-usage',
79        '--disable-web-security',
80        '--disable-features=IsolateOrigins,site-per-process',
81        '--disable-extensions',
82        '--disable-component-extensions-with-background-pages',
83        '--disable-default-apps',
84        '--mute-audio',
85        '--no-default-browser-check',
86        '--no-first-run',
87        '--disable-background-networking',
88        '--disable-background-timer-throttling',
89        '--disable-backgrounding-occluded-windows',
90        '--disable-breakpad',
91        '--disable-client-side-phishing-detection',
92        '--disable-hang-monitor',
93        '--disable-ipc-flooding-protection',
94        '--disable-popup-blocking',
95        '--disable-prompt-on-repost',
96        '--disable-renderer-backgrounding',
97        '--disable-sync',
98        '--force-color-profile=srgb',
99        '--metrics-recording-only',
100        '--password-store=basic',
101        // 代理相关参数
102        ...(finalProxyConfiguration
103          ? [
104              '--ignore-certificate-errors',
105              '--ignore-ssl-errors',
106              '--ignore-certificate-errors-spki-list',
107            ]
108          : []),
109      ],
110    },
111  },
112  // 设置最大并发请求数为1，确保按顺序采集
113  maxConcurrency: 1,
114  // 设置请求处理超时时间为18000秒
115  requestHandlerTimeoutSecs: 18000,
116  // 增加重试配置
117  maxRequestRetries: 3,
118  // 请求失败处理
119  failedRequestHandler: async ({ request, error }: any) => {
120    console.error(`❌ 请求失败: ${request.url}`)
121    const errorMessage = error instanceof Error ? error.message : String(error)
122    // 如果是代理相关错误，记录详细信息用于调试
123    if (
124      errorMessage.includes('TUNNEL_CONNECTION_FAILED') ||
125      errorMessage.includes('PROXY') ||
126      errorMessage.includes('ERR_PROXY_CONNECTION_FAILED')
127    ) {
128      console.error('🔗 代理连接失败，请检查代理配置或尝试其他代理')
129      console.error('💡 建议：在 Apify UI 中调整代理设置或切换到不同的代理类型')
130    }
131  },
132  // 使用路由处理请求
133  requestHandler: router,
134} as PuppeteerCrawlerOptions)
135
136const urls = []
137// ===== 商家ID去重缓存管理 =====
138const _processedPlaceIds = new Set<string>()
139
140/**
141 * 检查商家是否可以添加到处理队列（去重检查）
142 * @param placeId 商家的唯一标识ID
143 * @returns 如果商家未被处理过返回true，否则返回false
144 */
145const isPlaceIdUnprocessed = (placeId: string): boolean => {
146  if (_processedPlaceIds.has(placeId)) {
147    return false
148  }
149  _processedPlaceIds.add(placeId)
150  return true
151}
152/**
153 * 获取已处理商家数量
154 * @returns 已处理的商家总数
155 */
156const getProcessedPlaceCount = (): number => {
157  return _processedPlaceIds.size
158}
159export { getProcessedPlaceCount, isPlaceIdUnprocessed }
160
161for (const location of locationList) {
162  const _dataMapUrlList: UrlData[] = await getMapUrlList(location, keywords)
163
164  urls.push(
165    ..._dataMapUrlList.map((item) => ({
166      url: item.url,
167      userData: {
168        ...item.userData,
169        shouldAdditionalDetails: shouldAdditionalDetails,
170        batchTab: batchDetailsPerQuery,
171      },
172    })),
173  )
174}
175
176console.log(
177  `Total: Geographic slicing completed, generated ${urls.length} coordinate points`,
178)
179
180// 运行爬虫
181console.log(`🚀 开始采集，总计 ${urls.length} 个地理坐标点`)
182
183try {
184  await crawler.run(urls)
185  console.log('✅ 采集完成')
186} catch (error) {
187  console.error('❌ 采集过程中发生错误:', error)
188  throw error
189}
190
191await Actor.exit()

src/ne_110m_land.ts

1const ne_110m_land = {
2  type: 'FeatureCollection',
3  features: [
4    {
5      type: 'Feature',
6      properties: { featurecla: 'Land', scalerank: 1, min_zoom: 1.0 },
7      geometry: {
8        type: 'Polygon',
9        coordinates: [
10          [
11            [-59.572094692611529, -80.040178725096297],
12            [-59.865849371974633, -80.549656671061868],
13            [-60.159655727770115, -81.000326837079314],
14            [-62.255393439367083, -80.863177585776668],
15            [-64.488125372969847, -80.921933689292572],
16            [-65.74166642928995, -80.588827406739142],
17            [-65.74166642928995, -80.549656671061868],
18            [-66.290030890555045, -80.25577280061799],
19            [-64.037687750897646, -80.294943536295278],
20            [-61.883245612217053, -80.392870375488286],
21            [-61.138975796133366, -79.9813709451481],
22            [-60.61011918805832, -79.628679294756125],
23            [-59.572094692611529, -80.040178725096297],
24          ],
25        ],
26      },
27    },
28    {
29      type: 'Feature',
30      properties: { featurecla: 'Land', scalerank: 1, min_zoom: 1.0 },
31      geometry: {
32        type: 'Polygon',
33        coordinates: [
34          [
35            [-159.208183560197654, -79.497059421708727],
36            [-161.127601284814773, -79.634208673011301],
37            [-162.439846768218388, -79.281465346187034],
38            [-163.027407803376974, -78.928773695794973],
39            [-163.066604377270437, -78.869965915846848],
40            [-163.712895677728739, -78.595667413241529],
41            [-163.712895677728739, -78.595666605797291],
42            [-163.105800951163815, -78.223337911134394],
43            [-161.245113491846411, -78.380175883140168],
44            [-160.246208055644502, -78.693645121422676],
45            [-159.482404548154477, -79.046337579258989],
46            [-159.208183560197654, -79.497059421708727],
47          ],
48        ],
49      },
50    },
51    {
52      type: 'Feature',
53      properties: { featurecla: 'Land', scalerank: 1, min_zoom: 0.0 },
54      geometry: {
55        type: 'Polygon',
56        coordinates: [
57          [
58            [-45.154757656421026, -78.047069600586738],
59            [-43.920827806155671, -78.478102722333261],
60            [-43.489949713706096, -79.085559991368541],
61            [-43.372437506674459, -79.516644789547371],
62            [-43.333266770997113, -80.026122735512928],
63            [-44.880536668464288, -80.339643650227714],
64            [-46.506173875501929, -80.594356784994318],
65            [-48.386420864441874, -80.829484551922363],
66            [-50.482106899606464, -81.025441583173134],
67            [-52.851988084511703, -80.966685479657315],
68            [-54.164259406131521, -80.633527520671592],
69            [-53.987991095583965, -80.222028090331406],
70            [-51.8531343247422, -79.947729587726087],
71            [-50.991326463410587, -79.614623305172756],
72            [-50.364594692574656, -79.183486830561648],
73            [-49.914131232286451, -78.811209004886706],
74            [-49.306958991073117, -78.458569030926924],
75            [-48.660616014182438, -78.04701792415446],
76            [-48.660616014182438, -78.047018731598698],
77            [-48.151396450378314, -78.047069600586738],
78            [-46.66285681821094, -77.831475525065045],
79            [-45.154757656421026, -78.047069600586738],
80          ],
81        ],
82      },
83    },
84    {
85      type: 'Feature',
86      properties: { featurecla: 'Land', scalerank: 1, min_zoom: 1.0 },
87      geometry: {
88        type: 'Polygon',
89        coordinates: [
90          [
91            [-121.211511393857137, -73.500990499006051],
92            [-119.918851278292053, -73.65772511814734],
93            [-118.724143032692012, -73.481353454735213],
94            [-119.292118700011955, -73.834096781559481],
95            [-120.232217163709976, -74.08880991632617],
96            [-121.622829956684257, -74.010468444971707],
97            [-122.621734585441899, -73.657777602023884],
98            [-122.621735392886237, -73.657776794579632],
99            [-122.406244670229114, -73.324618835593924],
100            [-121.211511393857137, -73.500990499006051],
101          ],
102        ],
103      },
104    },
105    {
106      type: 'Feature',
107      properties: { featurecla: 'Land', scalerank: 1, min_zoom: 1.0 },
108      geometry: {
109        type: 'Polygon',
110        coordinates: [
111          [
112            [-125.559566406895328, -73.481353454735213],
113            [-124.031881877266869, -73.873267517236755],
114            [-124.619468750641545, -73.834096781559481],
115            [-125.912180542638907, -73.736118265934095],
116            [-127.283129645681925, -73.461768894340821],
117            [-127.283130453126248, -73.461768086896569],
118            [-126.558471843097308, -73.246225687807168],
119            [-125.559566406895328, -73.481353454735213],
120          ],
121        ],
122      },
123    },
124    {
125      type: 'Feature',
126      properties: { featurecla: 'Land', scalerank: 1, min_zoom: 1.0 },
127      geometry: {
128        type: 'Polygon',
129        coordinates: [
130          [
131            [-98.981549648823915, -71.933334248999785],
132            [-97.884743211645116, -72.070535176734751],
133            [-96.787936774466232, -71.952971293270721],
134            [-96.200349901091471, -72.521205342752197],
135            [-96.983764614636243, -72.442863871397648],
136            [-98.19808325884685, -72.482034607074922],
137            [-99.43201310911212, -72.442863871397648],
138            [-100.783455166409212, -72.501619974913552],
139            [-101.801868455801355, -72.305662943662782],
140            [-102.3307250638764, -71.894164320766862],
141            [-102.3307250638764, -71.89416351332261],
142            [-101.703967454824451, -71.717791849910384],
143            [-100.4309185453141, -71.854992777645336],
144            [-98.981549648823915, -71.933334248999785],
145          ],
146        ],
147      },
148    },
149    {
150      type: 'Feature',
151      properties: { featurecla: 'Land', scalerank: 1, min_zoom: 1.0 },
152      geometry: {
153        type: 'Polygon',
154        coordinates: [
155          [
156            [-68.451345994730332, -70.955822855766741],
157            [-68.333833787698779, -71.4064930217842],
158            [-68.510127936462339, -71.798407084285742],
159            [-68.784297247986984, -72.170735778948639],
160            [-69.959470994736421, -72.307885030251299],
161            [-71.075888637970053, -72.50384206150207],
162            [-72.388134121373781, -72.484256693663525],
163            [-71.898499925408203, -72.092342631161898],
164            [-73.073621995725546, -72.229491882464544],
165            [-74.190039638959064, -72.366692810199496],
166            [-74.953894822881495, -72.072757263323254],
167            [-75.01262508818121, -71.661257832983068],
168            [-73.915818651002326, -71.269344577925779],
169            [-73.915818651002326, -71.269343770481527],
170            [-73.230330776650646, -71.151779887017511],
171            [-72.074716559523466, -71.190950622694785],
172            [-71.780961880160362, -70.681472676729214],
173            [-71.722179938428354, -70.30919565849851],
174            [-71.741791144483187, -69.505782165656797],
175            [-71.173815477163146, -69.035474955368414],
176            [-70.253251512315813, -68.87874033622721],
177            [-69.72444658067306, -69.251017354457815],
178            [-69.489422166609586, -69.623346049120812],
179            [-69.058518235943836, -70.074016215138187],
180            [-68.725541144471066, -70.505152689749281],
181            [-68.451345994730332, -70.955822855766741],
182          ],
183        ],
184      },
185    },
186    {
187      type: 'Feature',
188      properties: { featurecla: 'Land', scalerank: 0, min_zoom: 0.0 },
189      geometry: {
190        type: 'Polygon',
191        coordinates: [
192          [
193            [-58.614142829001025, -64.152467130133232],
194            [-59.045072597882893, -64.368009529222633],
195            [-59.78934241396658, -64.21122323364915],
196            [-60.611927863188612, -64.309201749274536],
197            [-61.297415737540376, -64.544329516202481],
198            [-62.022100185785433, -64.799094327401463],
199            [-62.511760219967101, -65.093029874277619],
200            [-62.648857794837369, -65.484942321890657],
201            [-62.590127529537654, -65.857219340121361],
202            [-62.120078701410904, -66.190325622674806],
203            [-62.805566575762583, -66.425505066035043],
204            [-63.745690070232456, -66.503846537389592],
205            [-64.294106207929957, -66.8370044963753],
206            [-64.881693081304718, -67.150473734657723],
207            [-65.508424852140479, -67.581610209268831],
208            [-65.665081956633401, -67.953887227499536],
209            [-65.31254533553809, -68.365334981407415],
210            [-64.783714565679333, -68.678907572554508],
211            [-63.961103278241097, -68.91398366305026],
212            [-63.197299770750988, -69.227556254197339],
213            [-62.78595536970775, -69.619418640266588],
214            [-62.570516323482934, -69.991747334929585],
215            [-62.276735805903627, -70.383661397431126],
216            [-61.806661139560589, -70.716767679984571],
217            [-61.512906460197399, -71.089044698215176],
218            [-61.375808885327132, -72.010073750953211],
219            [-61.081976691315447, -72.382350769183915],
220            [-61.003661058177187, -72.774264831685457],
221            [-60.69026933454316, -73.166178894186999],
222            [-60.827366909413456, -73.6952422079912],
223            [-61.375808885327132, -74.106741638331471],
224            [-61.963369920485604, -74.439847920884802],
225            [-63.295200771727963, -74.576997172187475],
226            [-63.745690070232456, -74.929740499011814],
227            [-64.352836473229672, -75.262846781565258],
228            [-65.860987311451879, -75.635123799795878],
229            [-67.192818162694039, -75.791910095369445],
230            [-68.446281704365845, -76.00745249445886],
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232            [-70.600723843046353, -76.634494323888447],
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234            [-73.969536302369761, -76.634494323888447],
235            [-75.555976935513939, -76.712887471675202],
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237            [-76.926978522433672, -77.104801534176744],
238            [-75.399293992805127, -77.2810698447243],
239            [-74.282876349571495, -77.555420023761911],
240            [-73.656118740519361, -77.908111674153872],
241            [-74.772536383753078, -78.221632588868772],
242            [-76.496100429984011, -78.123654073243287],
243            [-77.925858120419377, -78.378418884442254],
244            [-77.984665900367474, -78.78991831478244],
245            [-78.02378495961247, -79.181833184728305],
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247            [-76.633223843070482, -79.887216485512369],
248            [-75.360097418911749, -80.259545180175266],
249            [-73.244851854124619, -80.416331475748848],
250            [-71.442946336539222, -80.690629978354082],
251            [-70.013162807887767, -81.004150893068868],
252            [-68.191646084247651, -81.317671807783668],
253            [-65.704278530526665, -81.47445810335725],
254            [-63.256030036050873, -81.748756605962484],
255            [-61.552025519442481, -82.04269215283864],
256            [-59.691415574773458, -82.375850111824349],
257            [-58.712121344626411, -82.846105645680439],
258            [-58.222487148660832, -83.21843434034335],
259            [-57.008116828018018, -82.865691013519083],
260            [-55.362894253141633, -82.571755466642841],
261            [-53.619770677288244, -82.258234551928041],
262            [-51.543644171746109, -82.003521417161451],
263            [-49.761349860215546, -81.72917123812384],
264            [-47.273930630062381, -81.709585870285295],
265            [-44.825707973802594, -81.846735121587869],
266            [-42.808363409992467, -82.081914564948192],
267            [-42.162020433101873, -81.650829766769391],
268            [-40.771433478343596, -81.356894219893235],
269            [-38.244817674296968, -81.337308852054591],
270            [-36.266669684380304, -81.121714776532897],
271            [-34.38639685722427, -80.906172377443482],
272            [-32.31029618989831, -80.769023126140922],
273            [-30.097097947701997, -80.592651462728696],
274            [-28.549802212018704, -80.337938327962092],
275            [-29.254901292425131, -79.985195001137754],
276            [-29.685805223090966, -79.632503350745679],
277            [-29.685805223090966, -79.26022633251506],
278            [-31.624808315546545, -79.299397068192249],
279            [-33.681323615034046, -79.456131687333539],
280            [-35.639912075328283, -79.456131687333539],
281            [-35.914107225069017, -79.083854669102919],
282            [-35.777009650198636, -78.339248148764995],
283            [-35.326546189910431, -78.123654073243287],
284            [-33.896762661258805, -77.888526306315327],
285            [-32.212369350705217, -77.653450215819575],
286            [-30.99805070649461, -77.359514668943419],
287            [-29.783732062284059, -77.065579122067177],
288            [-28.88277930349139, -76.673665059565636],
289            [-27.511751878355653, -76.497345072585787],
290            [-26.16033565927475, -76.360144144850835],
291            [-25.474821946706868, -76.281802673496372],
292            [-23.927552049239779, -76.24258026138682],
293            [-22.45859778491095, -76.105431010084246],
294            [-21.224693772861798, -75.90947397883339],
295            [-20.010375128651162, -75.67434621190543],
296            [-18.913542853256189, -75.439218444977385],
297            [-17.522981736714115, -75.125697530262585],
298            [-16.641588507543958, -74.792539571276876],
299            [-15.701490851290174, -74.49860402440072],
300            [-15.407710333710867, -74.106741638331471],
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6546  ],
6547}
6548
6549export { ne_110m_land }

src/parsePage.ts

1import {
2  type PuppeteerCrawler,
3  type PuppeteerLaunchContext,
4  launchPuppeteer,
5  sleep,
6} from 'crawlee'
7import type { HTTPRequest, HTTPResponse, Page } from 'puppeteer'
8import { getRandomUserAgent } from './shared/index.js'
9
10/***
11 * 随机毫秒数
12 */
13const randomWaitTime = (min: number, max: number) => {
14  return Math.floor(Math.random() * (max - min)) + min
15}
16
17// 获取得到数据url
18const getPageHtmlText = async (url: string) => {
19  // Launch the web browser.
20  const browser = await launchPuppeteer({
21    launchOptions: {
22      headless: true,
23    },
24  } as PuppeteerLaunchContext)
25
26  const newPage = await browser.newPage()
27  newPage.setUserAgent(getRandomUserAgent())
28  newPage.setDefaultNavigationTimeout(30000)
29  newPage.setDefaultTimeout(30000)
30  newPage.setViewport({ width: 1920, height: 1080 })
31
32  await newPage.goto(url, {
33    waitUntil: 'networkidle0',
34    timeout: 30000,
35  })
36
37  let html = ''
38
39  const body = await newPage.$eval('body', (node) => node.innerText)
40  html = body
41
42  await browser.close()
43  return html
44}
45
46const getPageJsonData = async (
47  url: string,
48  crawler: PuppeteerCrawler,
49  maxRetries = 3,
50) => {
51  let newPage: Page | undefined = undefined
52  let pageStatus = 200
53  // Launch the web browser.
54  newPage = await crawler.browserPool.newPage()
55  newPage.setUserAgent(getRandomUserAgent())
56  newPage.setDefaultNavigationTimeout(30000)
57  newPage.setDefaultTimeout(30000)
58  newPage.setViewport({ width: 1920, height: 1080 })
59
60  // 设置请求拦截
61  await newPage.setRequestInterception(true)
62
63  newPage.on('request', async (req: HTTPRequest) => {
64    const resourceType = req.resourceType()
65    const url = req.url()
66    // 阻止不必要的资源 'stylesheet', 'image'
67    if (
68      ['media', 'font', 'websocket', 'image'].includes(resourceType) ||
69      url.includes('www.gstatic.com') ||
70      url.includes('googletagmanager.com') ||
71      url.includes('feedback-pa.clients6.google.com') ||
72      url.includes('analytics.google.com')
73    ) {
74      await req.abort()
75    } else {
76      await req.continue()
77    }
78  })
79
80  // 监听响应
81  newPage.on('response', async (resp: HTTPResponse) => {
82    const status = resp.status()
83    if (status >= 400) {
84      console.log(`  🕸️HTTP error status: ${status} for ${resp.url()}`)
85      pageStatus = status
86    }
87  })
88
89  await newPage.goto(url, {
90    waitUntil: 'networkidle0',
91    timeout: 30000,
92  })
93
94  const reloadPage = async () => {
95    await sleep(500)
96    await newPage.reload()
97    await newPage.waitForFunction(() => document.readyState === 'complete', {
98      timeout: 30000,
99    })
100  }
101
102  const getData = async () => {
103    const jsData = await newPage?.evaluate(
104      () =>
105        //@ts-ignore
106        window.APP_INITIALIZATION_STATE,
107    )
108    return jsData
109  }
110
111  let data = await getData()
112
113  // 如果数据为空，则重新加载页面（最多重试2次）
114  let reloadAttempts = 0
115  // 如果数据为空、或者数据长度小于3，则重新加载页面（最多重试 maxRetries 次）
116  while (data?.length < 3 && reloadAttempts < maxRetries) {
117    console.log(
118      `Data is empty, reloading page (reload attempt ${reloadAttempts + 1}/${maxRetries})`,
119    )
120    // 如果页面状态大于400，则等待3秒
121    if (pageStatus >= 400) {
122      await sleep(1000)
123    }
124    await reloadPage()
125    // 重新获取数据
126    data = await getData()
127    reloadAttempts++
128  }
129
130  await newPage.close()
131
132  // 最终结果判断 如果数据为空、或者数据长度小于3
133  if (!data || data.length < 3) {
134    throw new Error(`  Page loading failed:${url} data:${JSON.stringify(data)}`)
135  }
136
137  return data
138}
139
140// 稳定获取JsonData的函数 - 处理动态key的情况
141const extractJsonDataRobust = (tempData: any, targetIndex = 3): any => {
142  if (!tempData || !tempData[targetIndex]) {
143    return null
144  }
145
146  // 验证jsonData结构是否有效
147  const isValidJsonDataStructure = (candidate: any): boolean => {
148    if (!candidate || typeof candidate !== 'object') {
149      return false
150    }
151
152    // 检查是否包含预期的Google Maps数据结构特征
153    const checks = [
154      // 检查是否有数组结构且包含数字索引
155      Array.isArray(candidate) && candidate.length > 0,
156      // 检查是否包含常见的Google Maps数据字段
157      candidate[6] && typeof candidate[6] === 'object',
158      candidate[72] || candidate[100] || candidate[183] || candidate[175],
159      // 检查嵌套结构深度
160      JSON.stringify(candidate).length > 1000, // 合理的数据大小
161    ]
162
163    // 至少满足一个条件就认为可能是有效的jsonData
164    return checks.some((check) => check)
165  }
166
167  const targetData = tempData[targetIndex]
168  let jsonData = null
169
170  // 策略1: 尝试常见的固定key
171  const commonKeys = [6, 'Tf', 'Sf', 'tf', 'sf', 'Wf', 'wf', 'data']
172  for (const key of commonKeys) {
173    if (targetData[key]) {
174      const candidate = targetData[key]
175      if (
176        candidate &&
177        (Array.isArray(candidate) || typeof candidate === 'object')
178      ) {
179        jsonData = candidate
180        break
181      }
182    }
183  }
184
185  // 策略2: 如果固定key失败，遍历所有keys寻找合适的值
186  if (!jsonData) {
187    console.log('🔍 固定key失败，开始遍历所有keys...')
188    const allKeys = Object.keys(targetData)
189
190    for (const key of allKeys) {
191      const candidate = targetData[key]
192
193      // 检查候选值是否符合jsonData的特征
194      if (
195        candidate &&
196        (Array.isArray(candidate) || typeof candidate === 'object')
197      ) {
198        console.log('🔍 遍历到key:', key)
199        // 进一步验证：检查是否包含预期的数据结构
200        if (isValidJsonDataStructure(candidate)) {
201          jsonData = candidate
202          break
203        }
204      }
205    }
206  }
207
208  return jsonData
209}
210
211/**
212 * 安全地解析JSON数据
213 * @param rawText 原始文本数据
214 * @returns 解析后的数据或null
215 */
216const safeParseData = (rawText: any): any[] => {
217  try {
218    const cleanedText = rawText.replace(")]}'\n", '')
219    if (!cleanedText.trim()) {
220      return []
221    }
222
223    // 使用Function constructor替代eval，相对更安全
224    const parseFunction = new Function(`return ${cleanedText}`)
225    return parseFunction()
226  } catch (error) {
227    console.error('❌ Data parsing failed:', error)
228    return []
229  }
230}
231
232export {
233  extractJsonDataRobust,
234  getPageHtmlText,
235  getPageJsonData,
236  randomWaitTime,
237  safeParseData,
238}

src/routes.ts

1import { createPuppeteerRouter } from 'crawlee'
2import type { HTTPResponse, Page } from 'puppeteer'
3import {
4  parseGoogleMapsResults,
5  parseGoogleMapsResultsList,
6  prefeatBusinessData,
7} from './data.list2details.js'
8import { searchKeyword } from './data.url2list.js'
9import { extractJsonDataRobust, safeParseData } from './parsePage.js'
10import { getRandomUserAgent } from './shared/index.js'
11import type { BusinessData, UserInputData } from './types.js'
12export const router = createPuppeteerRouter()
13
14// 辅助函数：随机等待
15const randomWait = async (page: Page, min = 2000, max = 4000) => {
16  const randomWaitTime = Math.floor(Math.random() * (max - min + 1)) + min
17  await page.evaluate(
18    (time: number) => new Promise((resolve) => setTimeout(resolve, time)),
19    randomWaitTime,
20  )
21}
22
23// 辅助函数：等待页面加载完成
24const waitForPageLoad = async (
25  page: Page,
26  timeout: number,
27  log?: { info: (message: string) => void },
28) => {
29  try {
30    await page.waitForFunction(() => document.readyState === 'complete', {
31      timeout,
32    })
33  } catch (_error) {
34    if (log) log.info('等待页面加载超时，继续执行')
35  }
36}
37
38// 处理列表页
39router.addDefaultHandler(async ({ page, log, crawler, request }) => {
40  const { userData } = request
41
42  const dataList: any[] = []
43  const pageTimeout = 30000
44  // 创建新的页面实例
45  // const newPage = await crawler.browserPool.newPage();
46  await page.setDefaultNavigationTimeout(30000)
47  await page.setDefaultTimeout(30000)
48  await page.setViewport({ width: 1920, height: 1080 })
49  await page.setUserAgent(getRandomUserAgent())
50
51  // 等待页面完全加载
52  await waitForPageLoad(page, pageTimeout, log)
53  // 简单的延迟
54  await randomWait(page)
55
56  // 设置请求拦截
57  // await page.setRequestInterception(true);
58
59  // page.on('request', async (req: HTTPRequest) => {
60  // 	const resourceType = req.resourceType();
61  // 	const url = req.url();
62  // 	// 阻止不必要的资源 'stylesheet', 'image'
63  // 	if (['media', 'font', 'websocket'].includes(resourceType) ||
64  // 		url.includes('www.gstatic.com') ||
65  // 		url.includes('googletagmanager.com') ||
66  // 		url.includes('analytics.google.com')) {
67  // 		await req.abort();
68  // 	} else {
69  // 		await req.continue();
70  // 	}
71  // });
72
73  // 监听响应
74  page.on('response', async (resp: HTTPResponse) => {
75    const url = resp.url()
76    const req = resp.request()
77    const resourceType = req.resourceType()
78    if (
79      url.includes('search?tbm') &&
80      (resourceType === 'xhr' || resourceType === 'fetch')
81    ) {
82      const status = resp.status()
83      const headers = resp.headers()
84      const contentType = headers['content-type'] || ''
85
86      // 只处理成功的响应
87      if (status >= 200 && status < 300) {
88        // 根据内容类型处理响应
89        if (contentType.includes('application/json')) {
90          const jsonText = await resp.text()
91
92          const jsonText1 = jsonText.replace('/*""*/', '')
93          const jsonData = JSON.parse(jsonText1)
94          console.log('  🐾 AJAX data intercepted')
95          // await parseGoogleMapsResults(jsonData.d,crawler)
96          dataList.push(jsonData.d)
97        }
98      }
99    }
100  })
101
102  const getData = async () => {
103    const jsData = await page?.evaluate(
104      () =>
105        //@ts-ignore
106        window.APP_INITIALIZATION_STATE,
107    )
108    return jsData
109  }
110
111  let businessDataListInPage: BusinessData[] = []
112  const dataIinPage = await getData()
113  // 使用稳定的jsonData提取函数
114  const jsonData = extractJsonDataRobust(dataIinPage, 3)
115
116  console.log('Step 1: Analyzing page data, generating business list')
117  if (Array.isArray(jsonData) && jsonData[2]) {
118    const parsedData = safeParseData(jsonData[2])
119    businessDataListInPage = await parseGoogleMapsResults(
120      parsedData,
121      userData as UserInputData,
122    )
123  }
124
125  console.log('Step 2: Scrolling to load data and intercepting AJAX')
126  await searchKeyword(page, userData.keyword)
127  console.log(
128    'Step 3: Parsing intercepted AJAX data, business list count:',
129    dataList.length,
130  )
131  const businessDataListInAjax: BusinessData[] =
132    await parseGoogleMapsResultsList(dataList, userData as UserInputData)
133  const businessDataList = [
134    ...businessDataListInPage,
135    ...businessDataListInAjax,
136  ]
137  console.log(
138    `Step 4: Deduplicated business data - Page: ${businessDataListInPage.length}, AJAX: ${businessDataListInAjax.length}`,
139  )
140
141  if (userData.shouldAdditionalDetails && businessDataListInPage.length > 0) {
142    console.log('Step 5: Processing business data concurrently with 10 tabs')
143    await prefeatBusinessData(businessDataList, crawler, userData.batchTab)
144  }
145
146  // console.log(`💯 采集完成！当前采集到${businessDataList.length}条商家数据。`);
147  await page.close()
148})

src/types.ts

1import type { Feature, MultiPolygon, Polygon } from 'geojson'
2
3export interface UserInputData {
4  keyword: string
5  location: string
6  shouldAdditionalDetails?: boolean
7  batchTab?: number
8}
9
10export interface UrlData {
11  url: string
12  userData: UserInputData
13}
14
15// 类型定义
16export interface LocationInfo {
17  lat: number
18  lon: number
19  bounds: [number, number, number, number] // [minX, minY, maxX, maxY]
20  geometry: Feature<Polygon | MultiPolygon>
21}
22
23export interface GridPoint {
24  latitude: number
25  longitude: number
26  region_index: number
27  zoom: number
28}
29
30export interface NominatimResponse {
31  lat: string
32  lon: string
33  display_name: string
34  addresstype: string
35  name: string
36  place_rank: number
37  geojson: Polygon | MultiPolygon
38}
39
40export interface ProcessedLocation {
41  points: GridPoint[]
42  addressType: string
43  addressName: string
44}
45
46export interface ProxyConfig {
47  http: string
48  https: string
49  username?: string
50  password?: string
51  host?: string
52  port?: string
53}
54
55export interface BusinessData {
56  // 搜索 位置信息
57  searchLocation: string
58  // 搜索 关键词
59  searchKeyword: string
60  // 商家 分类
61  categories: string[]
62  // 商家 名称
63  title: string
64  // 商家 详情 链接
65  searchString: string
66  reviewCount: number | null
67  totalScore: number | null
68  address: string
69  street: string
70  neighborhood: string
71  district: string
72  countryCode: string
73  city: string
74  postalCode: string
75  website: string
76  phone: string
77  phoneUnformatted: string
78  url: string
79  fid: string
80  cid: string
81  placeId: string
82  location: {
83    lat: number
84    lng: number
85  }
86  categoryName: string
87  mainPicture: string
88  kgmid: string
89  imageUrls: string[]
90  priceRange: string
91  currentStatus: string
92  // 营业时间详细字段
93  openingHours: { day: string; hours: string }[]
94  additionalInfo: { title: string; properties: { [key: string]: boolean } }[]
95  // FAQ 字段
96  faqUrl: string
97}
98
99export interface BusinessDataDetail extends BusinessData {
100  plusCode: string
101  plusCodeUrl: string
102  delivery: string
103  description: string
104  getDetailError?: string
105  imageCategories: string[]
106  reviewsTags: { title: string; count: number }[]
107  reviews: Record<string, any>[]
108  // 繁忙时段
109  popularTime: { [key: string]: any }[]
110  reviewsDistribution?: {
111    oneStar: number
112    twoStar: number
113    threeStar: number
114    fourStar: number
115    fiveStar: number
116  }
117  peopleAlsoSearch?: {
118    category: string
119    title: string
120    reviewsCount: number
121    totalScore: number
122  }[]
123}
124
125// 陆地数据类型定义
126export interface LandFeatureProperties {
127  featurecla: string
128  scalerank: number
129  min_zoom: number
130}
131
132export interface LandDataCollection {
133  type: 'FeatureCollection'
134  features: Feature<Polygon | MultiPolygon, LandFeatureProperties>[]
135}

src/shared/index.ts

1export * from './browser/index.js'
2export * from './dom/index.js'

src/shared/browser/index.ts

1export { getRandomUserAgent } from './userAgent.js'

src/shared/browser/userAgent.ts

1// 🎭 获取随机 User-Agent
2const getRandomUserAgent = (): string => {
3  const userAgents = [
4    'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36',
5    'Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:109.0) Gecko/20100101 Firefox/119.0',
6    'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36 Edg/119.0.0.0',
7    'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36',
8    'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36',
9  ]
10  return userAgents[Math.floor(Math.random() * userAgents.length)]
11}
12
13export { getRandomUserAgent }

src/shared/dom/click.ts

1import type { Page } from 'puppeteer'
2
3// 辅助函数：随机等待
4const randomWait = async (page: Page, min = 2000, max = 4000) => {
5  const randomWaitTime = Math.floor(Math.random() * (max - min + 1)) + min
6  await page.evaluate(
7    (time: number) => new Promise((resolve) => setTimeout(resolve, time)),
8    randomWaitTime,
9  )
10}
11
12// 输入关键词
13const typeWords = async (newPage: Page, keyword: string) => {
14  // 等待搜索框加载
15  await newPage.waitForSelector('#searchboxinput', { timeout: 15000 })
16
17  // 清空搜索框内容
18  await newPage.click('#searchboxinput', { clickCount: 3 })
19  await newPage.keyboard.press('Delete')
20
21  // 输入关键词
22  await newPage.type('#searchboxinput', keyword, { delay: 100 })
23  await newPage.keyboard.press('Enter')
24
25  // 添加随机延迟
26  await randomWait(newPage)
27}
28
29export { typeWords }

src/shared/dom/index.ts

1export { typeWords } from './click.js'
2export { scrollByQuerySelector } from './scroll.js'

src/shared/dom/scroll.ts

1import type { Page } from 'puppeteer'
2
3// 方法2: 尝试多种滚动容器 - 智能滚动检测
4const scrollByQuerySelector = async (
5  newPage: Page,
6  domQuerySelector: string,
7) => {
8  return await newPage.evaluate(async (domQuerySelector) => {
9    let scrolled = false
10    const element = document.querySelector(domQuerySelector)
11
12    if (!element) {
13      return false
14    }
15
16    let preHeight = element?.scrollHeight || 0
17    let preItemCount = element?.children.length || 0
18    let stableCount = 0 // 连续稳定次数计数器
19    const maxStableCount = 4 // 连续4次高度和元素数量都不变则认为加载完成
20    const maxScrollAttempts = 80 // 最大滚动次数
21
22    // console.log(`开始滚动，初始高度: ${preHeight}，初始元素数量: ${preItemCount}`);
23
24    for (let i = 0; i < maxScrollAttempts; i++) {
25      // 滚动到下一个位置
26      element?.scrollTo(0, element?.scrollTop + 1200)
27
28      // 等待内容加载 - 动态调整等待时间
29      const waitTime = Math.min(800 + i * 10, 1600) // 随着滚动次数增加等待时间
30      await new Promise((resolve) => setTimeout(resolve, waitTime))
31
32      const afterHeight = element?.scrollHeight || 0
33      const afterItemCount = element?.children.length || 0
34
35      // 检查高度和元素数量是否都没有变化
36      if (afterHeight === preHeight && afterItemCount === preItemCount) {
37        stableCount++
38        // console.log(`---- 滚动${i+1}次，无变化 (稳定: ${stableCount}/${maxStableCount})，高度: ${afterHeight}, 元素: ${afterItemCount}`);
39      } else {
40        // 有变化，重置稳定计数器
41        stableCount = 0
42        // console.log(`+++++ 滚动${i+1}次，有变化 - 高度: ${preHeight} -> ${afterHeight}, 元素: ${preItemCount} -> ${afterItemCount}`);
43        preHeight = afterHeight
44        preItemCount = afterItemCount
45      }
46
47      // 额外检查：如果到达了页面底部
48      const scrollTop = element?.scrollTop || 0
49      const scrollHeight = element?.scrollHeight || 0
50      const clientHeight = element?.clientHeight || 0
51
52      if (
53        scrollTop + clientHeight >= scrollHeight - 20 &&
54        stableCount >= maxStableCount
55      ) {
56        // console.log(`📍 已到达页面底部，停止滚动`);
57        scrolled = true
58        break
59      }
60    }
61
62    return scrolled
63  }, domQuerySelector)
64}
65
66export { scrollByQuerySelector }
67
68// 网络请求监控
69// let pendingRequests = 0;
70// const networkIdlePromise = new Promise<void>((resolve) => {
71// 	let idleTimer: NodeJS.Timeout;
72
73// 	const checkNetworkIdle = () => {
74// 		clearTimeout(idleTimer);
75// 		idleTimer = setTimeout(() => {
76// 			if (pendingRequests === 0) {
77// 				console.log('🌐 网络空闲状态达成');
78// 				resolve();
79// 			} else {
80// 				checkNetworkIdle();
81// 			}
82// 		}, 1000); // 1秒内没有新请求认为网络空闲
83// 	};
84
85// 	newPage.on('request', () => {
86// 		pendingRequests++;
87// 	});
88
89// 	newPage.on('response', () => {
90// 		pendingRequests--;
91// 		checkNetworkIdle();
92// 	});
93
94// 	newPage.on('requestfailed', () => {
95// 		pendingRequests--;
96// 		checkNetworkIdle();
97// 	});
98
99// 	// 开始检测
100// 	checkNetworkIdle();
101// });
102
103// 方法1: 控制鼠标滚动加载更多数据
104// const scrollIn = async ()=>{
105
106// 	// 滚动多次以加载更多内容
107// 	const scrollCount = 20; // 滚动次数
108
109// 	// 点击页面中央，然后滚动
110// 	await newPage.click('[role="main"]');
111
112// 	let canScroll = true;
113
114// 	for (let i = 0; i < scrollCount && canScroll; i++) {
115// 		console.log(`  第 ${i + 1}/${scrollCount} 次滚动`);
116// 		// 方法4: 模拟用户滚动行为
117// 		await newPage.mouse.wheel({ deltaY: 1000* (i+1) });
118
119// 		// 最终等待渲染完成
120// 		await randomWait(newPage, 1000, 2000);
121// 	}
122
123// 	return true
124// }
125
126// 方法2: 尝试多种滚动容器 - 智能滚动检测
127// const scrollInPage = async () => {
128//   return await newPage.evaluate(async () => {
129//     let scrolled = false
130//     const element = document.querySelector(`[role="feed"]`)
131
132//     if (!element) {
133//       return false
134//     }
135
136//     let preHeight = element?.scrollHeight || 0
137//     let preItemCount = element?.children.length || 0
138//     let stableCount = 0 // 连续稳定次数计数器
139//     const maxStableCount = 4 // 连续4次高度和元素数量都不变则认为加载完成
140//     const maxScrollAttempts = 80 // 最大滚动次数
141
142//     // console.log(`开始滚动，初始高度: ${preHeight}，初始元素数量: ${preItemCount}`);
143
144//     for (let i = 0; i < maxScrollAttempts; i++) {
145//       // 滚动到下一个位置
146//       element?.scrollTo(0, element?.scrollTop + 1200)
147
148//       // 等待内容加载 - 动态调整等待时间
149//       const waitTime = Math.min(800 + i * 10, 1600) // 随着滚动次数增加等待时间
150//       await new Promise((resolve) => setTimeout(resolve, waitTime))
151
152//       const afterHeight = element?.scrollHeight || 0
153//       const afterItemCount = element?.children.length || 0
154
155//       // 检查高度和元素数量是否都没有变化
156//       if (afterHeight === preHeight && afterItemCount === preItemCount) {
157//         stableCount++
158//         // console.log(`---- 滚动${i+1}次，无变化 (稳定: ${stableCount}/${maxStableCount})，高度: ${afterHeight}, 元素: ${afterItemCount}`);
159//       } else {
160//         // 有变化，重置稳定计数器
161//         stableCount = 0
162//         // console.log(`+++++ 滚动${i+1}次，有变化 - 高度: ${preHeight} -> ${afterHeight}, 元素: ${preItemCount} -> ${afterItemCount}`);
163//         preHeight = afterHeight
164//         preItemCount = afterItemCount
165//       }
166
167//       // 额外检查：如果到达了页面底部
168//       const scrollTop = element?.scrollTop || 0
169//       const scrollHeight = element?.scrollHeight || 0
170//       const clientHeight = element?.clientHeight || 0
171
172//       if (
173//         scrollTop + clientHeight >= scrollHeight - 20 &&
174//         stableCount >= maxStableCount
175//       ) {
176//         // console.log(`📍 已到达页面底部，停止滚动`);
177//         scrolled = true
178//         break
179//       }
180//     }
181
182//     return scrolled
183//   })
184// }

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