Under maintenance

Pricing

from $0.002 / lead

Try for free

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Google Maps Leads Scraper

Under maintenance

Try for free

Extract high-quality business leads from Google Maps with AI enrichment, including name, category, rating, address, phone, and website. Fast, scalable, and proxy-supported scraping solution for lead generation and market research.

Pricing

from $0.002 / lead

Rating

5.0

(1)

Developer

Moufid Zakaria

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

.dockerignore

node_modules
npm-debug.log
.git
.apify

.env

OPENAI_API_KEY=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

.gitignore

storage
node_modules
.venv

main.js

1import 'dotenv/config';
2import { Actor } from 'apify';
3import { PlaywrightCrawler, log } from 'crawlee';
4
5await Actor.init();
6
7log.info("🚀 Google Maps Lead Generator FIXED");
8
9/* ================= INPUT ================= */
10const input = await Actor.getInput() || {};
11
12const query = input.query;
13const maxResults = Math.min(input.maxResults || 20, 100);
14const shouldExtractEmails = input.extractEmails ?? true;
15
16if (!query) throw new Error("Query is required");
17
18/* ================= HELPERS ================= */
19
20// 🧼 clean text
21const clean = (v) => v?.replace(/\n/g, " ").trim() || null;
22
23// 📞 phone clean
24const normalizePhone = (raw) => {
25    if (!raw) return null;
26    let p = raw.replace(/[^\d+]/g, "");
27    if (p.startsWith("00")) p = "+" + p.slice(2);
28    if (!p.startsWith("+") && p.startsWith("0")) p = "+33" + p.slice(1);
29    return p;
30};
31
32// 📧 normalize email text
33const normalizeEmailText = (text = "") =>
34    text
35        .replace(/\s*\[at\]\s*/gi, "@")
36        .replace(/\s*\(at\)\s*/gi, "@")
37        .replace(/\s*\[dot\]\s*/gi, ".")
38        .replace(/\s*\(dot\)\s*/gi, ".");
39
40// 📧 extract emails (FIXED NAME)
41const extractEmailsFromText = (text = "") => {
42    const normalized = normalizeEmailText(text);
43    return normalized.match(/[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-z]{2,}/g) || [];
44};
45
46// 📧 guess fallback emails
47const guessEmails = (website) => {
48    try {
49        const { hostname } = new URL(website);
50        const domain = hostname.replace(/^www\./, "");
51        return ["info", "contact", "hello", "support"].map(p => `${p}@${domain}`);
52    } catch {
53        return [];
54    };
55};
56
57/* ================= STATE ================= */
58let count = 0;
59
60/* ================= QUEUE ================= */
61const requestQueue = await Actor.openRequestQueue();
62
63await requestQueue.addRequest({
64    url: `https://www.google.com/maps/search/${encodeURIComponent(query)}`,
65    label: "SEARCH",
66});
67
68/* ================= CRAWLER ================= */
69const crawler = new PlaywrightCrawler({
70    requestQueue,
71    maxConcurrency: 2,
72
73    async requestHandler({ page, request }) {
74
75        // 🚀 speed boost
76        await page.route('**/*', (route) => {
77            const type = route.request().resourceType();
78            if (['image', 'font', 'stylesheet'].includes(type)) {
79                route.abort();
80            } else {
81                route.continue();
82            }
83        });
84
85        /* ================= SEARCH ================= */
86        if (request.label === "SEARCH") {
87
88            await page.goto(request.url, { waitUntil: "domcontentloaded" });
89            await page.waitForTimeout(4000);
90
91            for (let i = 0; i < 8; i++) {
92                await page.mouse.wheel(0, 3500);
93                await page.waitForTimeout(1200);
94            }
95
96            const links = await page.$$eval(
97                'a[href*="/maps/place/"]',
98                els => [...new Set(els.map(e => e.href))]
99            );
100
101            for (const link of links.slice(0, maxResults)) {
102                await requestQueue.addRequest({
103                    url: link,
104                    label: "DETAIL",
105                    uniqueKey: link,
106                });
107            }
108        }
109
110        /* ================= DETAIL ================= */
111        if (request.label === "DETAIL") {
112
113            if (count >= maxResults) return;
114
115            await page.goto(request.url, { waitUntil: "domcontentloaded" });
116            await page.waitForTimeout(2500);
117
118            const data = await page.evaluate(() => {
119                const get = (sel) => document.querySelector(sel)?.innerText || null;
120
121                return {
122                    name: get("h1"),
123                    category: document.querySelector('button[jsaction]')?.innerText || null,
124                    rating: document.querySelector('div[role="img"]')?.ariaLabel || null,
125                    address: document.querySelector('button[data-item-id="address"]')?.innerText || null,
126                    phone: document.querySelector('button[data-item-id*="phone"]')?.innerText || null,
127                    website: document.querySelector('a[data-item-id="authority"]')?.href || null,
128                };
129            });
130
131            if (!data?.name) return;
132
133            count++;
134
135            /* ================= EMAIL EXTRACTION ================= */
136            let emails = [];
137
138            if (shouldExtractEmails && data.website) {
139                let page2;
140
141                try {
142                    page2 = await page.context().newPage();
143
144                    const base = data.website.replace(/\/+$/, "");
145
146                    const pagesToVisit = [
147                        base,
148                        base + "/contact",
149                        base + "/about",
150                        base + "/mentions-legales",
151                    ];
152
153                    for (const url of pagesToVisit) {
154                        try {
155                            await page2.goto(url, {
156                                waitUntil: "domcontentloaded",
157                                timeout: 12000
158                            });
159
160                            const html = await page2.content();
161
162                            emails.push(...extractEmailsFromText(html));
163
164                            const mailtos = html.match(/mailto:([^\s"'>]+)/gi);
165                            if (mailtos) {
166                                mailtos.forEach(m => {
167                                    emails.push(m.replace("mailto:", ""));
168                                });
169                            }
170
171                            const text = await page2.innerText("body");
172                            emails.push(...extractEmailsFromText(text));
173
174                        } catch (e) {}
175                    }
176
177                    emails.push(...guessEmails(data.website));
178
179                } catch (e) {
180                    log.warning("Email extraction failed:", e.message);
181                } finally {
182                    if (page2 && !page2.isClosed()) {
183                        await page2.close();
184                    }
185                }
186            }
187
188            // clean emails
189            emails = [...new Set(emails)].filter(e =>
190                e &&
191                !e.includes("example") &&
192                !e.includes("test") &&
193                e.length < 60
194            );
195
196            /* ================= SCORE ================= */
197            let score = 0;
198            if (data.phone) score += 25;
199            if (data.website) score += 25;
200            if (emails.length > 0) score += 40;
201            if (data.rating) score += 10;
202
203            /* ================= OUTPUT ================= */
204            await Actor.pushData({
205                lead: {
206                    name: clean(data.name),
207                    category: clean(data.category),
208                    rating: clean(data.rating),
209                    address: clean(data.address),
210                    phone: normalizePhone(data.phone),
211                    website: data.website || null,
212                    emails,
213                    primaryEmail: emails[0] || null,
214                    score
215                },
216                meta: {
217                    source: "google_maps_fixed",
218                    scrapedAt: new Date().toISOString(),
219                }
220            });
221
222            log.info(`📍 ${count}/${maxResults} - ${data.name}`);
223        }
224    }
225});
226
227/* ================= RUN ================= */
228await crawler.run();
229
230log.info("🎉 DONE SUCCESSFULLY");
231
232await Actor.exit();

package.json

{
  "name": "google-maps-saas",
  "version": "1.0.0",
  "description": "",
  "main": "index.js",
  "scripts": {
    "test": "echo \"Error: no test specified\" && exit 1",
    "start": "node main.js"
  },
  "keywords": [],
  "author": "",
  "license": "ISC",
  "dependencies": {
    "apify": "^3.7.0",
    "crawlee": "^3.16.0",
    "crypto": "^1.0.1",
    "dotenv": "^17.4.2",
    "ioredis": "^5.10.1",
    "openai": "^6.34.0",
    "playwright": "^1.59.1",
    "playwright-extra": "^4.3.6",
    "playwright-extra-plugin-stealth": "^0.0.1"
  }
}

.actor/Dockerfile

FROM apify/actor-node-playwright-chrome

WORKDIR /usr/src/app

# 👇 مهم: fix permissions داخل container
USER root

# copy dependencies first
COPY package*.json ./

# 🔥 الحل الحقيقي: clean install بدون مشاكل permissions
RUN npm config set unsafe-perm true && \
    npm ci --omit=dev || npm install --unsafe-perm

# 🔥 install browsers (mandatory)
RUN npx playwright install chromium --with-deps

# copy rest of project
COPY . .

# optional safety
USER root

CMD ["npm", "start"]

.actor/actor.json

{
  "actorSpecification": 1,
  "name": "google-maps-leads-saas",
  "title": "Google Maps Leads Scraper",
  "version": "2.5",
  "description": "Extract business leads from Google Maps with AI enrichment",

  "dockerfile": "./Dockerfile",

  "input": "./input_schema.json",
  "dataset": "./dataset_schema.json",
  "output": "./output_schema.json",
  "readme": "../README.md"
}

.actor/dataset_schema.json

{
  "actorSpecification": 1,

  "fields": {
    "type": "object",
    "properties": {
      "projectId": {
        "type": "string",
        "title": "Project ID",
        "description": "SaaS project identifier"
      },
      "query": {
        "type": "string",
        "title": "Search Query",
        "description": "Google Maps search query used"
      },

      "business": {
        "type": "object",
        "title": "Business",
        "description": "Extracted Google Maps business data",
        "properties": {
          "name": { "type": "string", "title": "Name" },
          "category": { "type": "string", "title": "Category" },
          "rating": { "type": "string", "title": "Rating" },
          "address": { "type": "string", "title": "Address" },
          "phone": { "type": "string", "title": "Phone" },
          "website": { "type": "string", "title": "Website" }
        },
        "required": ["name"]
      },

      "ai": {
        "type": "object",
        "title": "AI Enrichment",
        "properties": {
          "category": {
            "type": "string",
            "title": "AI Category"
          }
        }
      },

      "metadata": {
        "type": "object",
        "title": "Metadata",
        "properties": {
          "source": {
            "type": "string",
            "title": "Source"
          },
          "scrapedAt": {
            "type": "string",
            "format": "date-time",
            "title": "Scraped At"
          }
        }
      }
    }
  },

  "views": {
    "default": {
      "title": "All Leads",
      "description": "Full Google Maps leads with AI enrichment",

      "transformation": {
        "fields": [
          "projectId",
          "query",
          "business.name",
          "business.category",
          "business.rating",
          "business.address",
          "business.phone",
          "business.website",
          "ai.category",
          "metadata.source",
          "metadata.scrapedAt"
        ]
      }
    },

    "clean": {
      "title": "CRM Ready Leads",
      "description": "Only essential contact data",

      "transformation": {
        "fields": [
          "business.name",
          "business.phone",
          "business.website",
          "business.address"
        ]
      }
    },

    "aiView": {
      "title": "AI Leads",
      "description": "AI categorized businesses only",

      "transformation": {
        "fields": [
          "business.name",
          "business.category",
          "ai.category"
        ]
      }
    }
  }
}

.actor/input_schema.json

{
  "title": "Google Maps Leads Scraper Input",
  "type": "object",
  "schemaVersion": 1,
  "properties": {
    "query": {
      "title": "Search Query",
      "type": "string",
      "description": "Search keyword (example: restaurants in Paris)",
      "editor": "textfield"
    },
    "maxResults": {
      "title": "Max Results",
      "type": "integer",
      "description": "Maximum number of businesses to scrape",
      "default": 20,
      "minimum": 1,
      "maximum": 100,
      "editor": "number"
    },
    "useAI": {
      "title": "AI Enrichment",
      "type": "boolean",
      "description": "Enable AI classification using OpenAI",
      "default": false,
      "editor": "checkbox"
    },
    "projectId": {
      "title": "Project ID",
      "type": "string",
      "description": "Project identifier for SaaS usage",
      "default": "default_project",
      "editor": "textfield"
    }
  },
  "required": ["query"]
}

.actor/key_value_store_schema.json

{
  "actorSpecification": 1,
  "views": {
    "SUMMARY": {
      "title": "Run Summary",
      "contentType": "application/json"
    },
    "STATS": {
      "title": "Stats",
      "contentType": "application/json"
    }
  }
}

.actor/openapi.yaml

openapi: 3.0.0
info:
  title: Google Maps Leads API
  version: 1.0.0

paths:
  /run-sync:
    post:
      summary: Run scraper
      requestBody:
        required: true
        content:
          application/json:
            schema:
              type: object
              properties:
                query:
                  type: string
                maxResults:
                  type: integer
      responses:
        '200':
          description: OK
          content:
            application/json:
              schema:
                type: object
                properties:
                  success:
                    type: boolean
                  totalResults:
                    type: integer

.actor/output_schema.json

{
  "actorOutputSchemaVersion": 1,
  "title": "Google Maps Leads Output",
  "type": "object",
  "properties": {
    "success": {
      "type": "string",
      "title": "Extraction status",
      "template": "{{value}}"
    },
    "projectId": {
      "type": "string",
      "title": "Project ID",
      "template": "{{value}}"
    },
    "query": {
      "type": "string",
      "title": "Search Query",
      "template": "{{value}}"
    },
    "totalResults": {
      "type": "string",
      "title": "Total Leads",
      "template": "{{value}}"
    },
    "generatedAt": {
      "type": "string",
      "title": "Generated At",
      "template": "{{value}}"
    }
  },
  "required": ["success", "totalResults"]
}

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.dockerignore

.env

.gitignore

main.js

package.json

.actor/Dockerfile

.actor/actor.json

.actor/dataset_schema.json

.actor/input_schema.json

.actor/key_value_store_schema.json

.actor/openapi.yaml

.actor/output_schema.json

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.dockerignore

.env

.gitignore

main.js

package.json

.actor/Dockerfile

.actor/actor.json

.actor/dataset_schema.json

.actor/input_schema.json

.actor/key_value_store_schema.json

.actor/openapi.yaml

.actor/output_schema.json