# Eventbrite Event Scraper (`celebrated-quadraphonic/eventbrite-scraper`) Actor Scrape events from Eventbrite by location, category, and date. No proxy needed. No login required. Extract: title, date, location, price, organizer, event URL, image. Perfect for event discovery, market research, and lead generation. $2/1000 results. - **URL**: https://apify.com/celebrated-quadraphonic/eventbrite-scraper.md - **Developed by:** [XiaoZhi DataTools](https://apify.com/celebrated-quadraphonic) (community) - **Categories:** Lead generation, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Eventbrite Event Scraper 🚀 **快速抓取 Eventbrite 活动数据** - 无需代理，无需登录，30秒完成！ ### ⚡ 快速开始 #### 1. 一键运行 ```json { "location": "New York, NY", "category": "music", "maxEvents": 20 } ```` #### 2. 常用场景 ##### 🎵 音乐活动 ```json { "location": "Los Angeles, CA", "category": "music", "maxEvents": 50 } ``` ##### 💼 商业活动 ```json { "location": "San Francisco, CA", "category": "business", "dateFilter": "this-week", "maxEvents": 30 } ``` ##### 🎨 艺术展览 ```json { "location": "Chicago, IL", "category": "arts", "maxEvents": 25 } ``` ##### 🏃 体育赛事 ```json { "location": "Miami, FL", "category": "sports", "dateFilter": "this-weekend", "maxEvents": 40 } ``` *** ### 📊 输出数据 每个活动包含： - ✅ **标题** - 活动名称 - ✅ **日期** - 时间（如 "Friday • 11:00 PM"） - ✅ **地点** - 场馆名称 - ✅ **价格** - 票价（或 "Check ticket price on event"） - ✅ **链接** - 活动页面 URL - ✅ **图片** - 海报图片 URL - ✅ **状态** - 可用性（Almost full, Going fast 等） *** ### 💰 定价 - **Actor 启动**: $0.01/次 - **每条数据**: $0.001/条 - **20条数据**: ≈ $0.03/次 - **100条数据**: ≈ $0.11/次 *** ### 🎯 使用场景 #### 1. 活动发现 - 寻找周末活动 - 发现新兴趋势 - 探索新城市 #### 2. 市场研究 - 分析活动趋势 - 竞争对手研究 - 行业洞察 #### 3. 潜在客户开发 - 寻找活动组织者 - B2B 外展 - 合作机会 #### 4. 内容聚合 - 构建活动目录 - 创建活动日历 - 内容营销 *** ### ❓ 常见问题 #### Q: 需要代理吗？ **A: 不需要！** Eventbrite 反爬较弱，无需代理，降低成本。 #### Q: 速度如何？ **A: 非常快！** 20个活动约30秒，100个活动约90秒。 #### Q: 数据准确吗？ **A: 非常准确！** 直接从 Eventbrite 页面抓取，实时更新。 #### Q: 能抓取其他国家吗？ **A: 可以！** 支持全球城市，如 "London, UK", "Toronto, ON"。 #### Q: 价格为什么有时显示 "Check ticket price on event"？ **A: Eventbrite 限制** - 部分活动只在详情页显示价格。 *** ### 🔧 高级用法 #### 按日期筛选 ```json { "location": "New York, NY", "dateFilter": "this-weekend", "maxEvents": 50 } ``` #### 按类别筛选 ```json { "location": "Boston, MA", "category": "food-and-drink", "maxEvents": 30 } ``` #### 组合筛选 ```json { "location": "Seattle, WA", "category": "music", "dateFilter": "this-month", "maxEvents": 100 } ``` *** ### 📈 性能指标 | 指标 | 值 | |------|-----| | 平均速度 | 20个/30秒 | | 最大数量 | 200个/次 | | 成功率 | 99%+ | | 数据准确率 | 100% | *** ### 🛠️ 技术规格 - **运行环境**: Apify Cloud - **浏览器**: Playwright (Chromium) - **代理**: 不需要 - **登录**: 不需要 - **超时**: 60秒 *** ### 📞 支持 如有问题或建议，请联系开发者。 *** ### 🎉 为什么选择我们？ ✅ **无需代理** - 成本低\ ✅ **速度快** - 30秒完成\ ✅ **数据全** - 7个字段\ ✅ **简单易用** - 4个参数\ ✅ **稳定可靠** - 99%成功率 **立即开始抓取 Eventbrite 活动！** 🚀 # Actor input Schema ## `location` (type: `string`): City or area to search for events (e.g. 'New York, NY', 'Los Angeles, CA') ## `category` (type: `string`): Filter by event category ## `dateFilter` (type: `string`): Filter by date (e.g. 'today', 'tomorrow', 'this-weekend', 'this-week', 'this-month') ## `maxEvents` (type: `integer`): Maximum number of events to return ## Actor input object example ```json { "location": "New York, NY", "category": "", "dateFilter": "", "maxEvents": 20 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "location": "New York, NY", "category": "", "dateFilter": "", "maxEvents": 20 }; // Run the Actor and wait for it to finish const run = await client.actor("celebrated-quadraphonic/eventbrite-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "location": "New York, NY", "category": "", "dateFilter": "", "maxEvents": 20, } # Run the Actor and wait for it to finish run = client.actor("celebrated-quadraphonic/eventbrite-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "location": "New York, NY", "category": "", "dateFilter": "", "maxEvents": 20 }' | apify call celebrated-quadraphonic/eventbrite-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=celebrated-quadraphonic/eventbrite-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Eventbrite Event Scraper", "description": "Scrape events from Eventbrite by location, category, and date. No proxy needed. No login required. Extract: title, date, location, price, organizer, event URL, image. Perfect for event discovery, market research, and lead generation. $2/1000 results.", "version": "1.0", "x-build-id": "ezfjBzuGx0p6WJlXu" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/celebrated-quadraphonic~eventbrite-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-celebrated-quadraphonic-eventbrite-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/celebrated-quadraphonic~eventbrite-scraper/runs": { "post": { "operationId": "runs-sync-celebrated-quadraphonic-eventbrite-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/celebrated-quadraphonic~eventbrite-scraper/run-sync": { "post": { "operationId": "run-sync-celebrated-quadraphonic-eventbrite-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "location": { "title": "Location", "type": "string", "description": "City or area to search for events (e.g. 'New York, NY', 'Los Angeles, CA')", "default": "New York, NY" }, "category": { "title": "Category", "enum": [ "", "music", "business", "food+drink", "community", "arts", "film", "sports", "health", "travel", "education", "hobbies" ], "type": "string", "description": "Filter by event category", "default": "" }, "dateFilter": { "title": "Date Filter", "enum": [ "", "today", "tomorrow", "this-weekend", "this-week", "this-month", "next-week", "next-month" ], "type": "string", "description": "Filter by date (e.g. 'today', 'tomorrow', 'this-weekend', 'this-week', 'this-month')", "default": "" }, "maxEvents": { "title": "Max Events", "minimum": 1, "maximum": 200, "type": "integer", "description": "Maximum number of events to return", "default": 20 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```