# Eventbrite Events Scraper (`moving_beacon-owner1/eventbrite-events-scraper`) Actor Scrape Eventbrite events by keyword and location. Extract event names, dates, venues, organizers, ticket prices, categories, images, and URLs with automatic pagination and reliable data collection. - **URL**: https://apify.com/moving\_beacon-owner1/eventbrite-events-scraper.md - **Developed by:** [Jamshaid Arif](https://apify.com/moving_beacon-owner1) (community) - **Categories:** Automation, Developer tools, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $9.99 / 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 Events Scraper (Apify Actor) Scrapes events from Eventbrite's internal destination-search API by keyword and place ID, with automatic CSRF warmup, pagination, TLS-impersonation fallback, and clean flat output fields. ### Input | Field | Type | Default | Description | |---|---|---|---| | `queries` | array | `["tech meetup"]` | Search keywords | | `placeIds` | array | `["85977539"]` | Place IDs (85977539 = New York City) | | `dates` | string | `current_future` | Date filter (`today`, `this_weekend`, `this_month`, ...) | | `maxItems` | int | `100` | Max events per query+place (0 = all pages) | | `includeOnlineEvents` | bool | `true` | Keep virtual events | | `rawOutput` | bool | `false` | Attach full raw event JSON under `raw` | | `proxyConfiguration` | object | Apify residential | Proxy settings | ### Output (dataset item) ```json { "event_id": "1993296910718", "name": "Tech Gather NYC July Meetup", "summary": "...", "url": "https://www.eventbrite.com/e/...", "tickets_url": "https://www.eventbrite.com/checkout-external?eid=...", "start_date": "2026-07-16", "start_time": "19:00", "end_date": "2026-07-16", "end_time": "21:00", "timezone": "America/New_York", "is_online_event": false, "venue_name": "...", "venue_address": "...", "venue_city": "New York", "latitude": "40.7...", "longitude": "-73.9...", "organizer_name": "...", "organizer_followers": 1234, "is_free": false, "min_price": "$10.00", "max_price": "$25.00", "currency": "USD", "categories": ["High Tech", "Science & Technology", "Meeting or Networking Event"], "image_url": "https://img.evbuc.com/...", "search_query": "tech meetup", "search_place_id": "85977539" } ```` ### Finding place IDs Open any Eventbrite location page (e.g. `eventbrite.com/d/ny--new-york/events/`), open DevTools → Network, and look at the `destination/search` request payload — the `places` array contains the ID. Common ones: - New York City: `85977539` - Los Angeles: `85923517` - Chicago: `85940195` # Actor input Schema ## `queries` (type: `array`): One or more search keywords, e.g. 'tech meetup', 'yoga', 'startup networking'. ## `placeIds` (type: `array`): Eventbrite/WhosOnFirst place IDs to search in. Default 85977539 = New York City. Find a place ID by opening an Eventbrite location page (e.g. eventbrite.com/d/ny--new-york/events/) and inspecting the search request payload, or leave the default. ## `dates` (type: `string`): Eventbrite date filter. ## `maxItems` (type: `integer`): Stop after collecting this many events for each query+place combination. Set 0 for unlimited (all pages). ## `includeOnlineEvents` (type: `boolean`): Keep events flagged as online/virtual in the results. ## `rawOutput` (type: `boolean`): Attach the full unmodified event JSON under the 'raw' field of each dataset item. ## `proxyConfiguration` (type: `object`): Proxy to use. Residential recommended if you hit 403/anti-bot challenges. ## Actor input object example ```json { "queries": [ "tech meetup" ], "placeIds": [ "85977539" ], "dates": "current_future", "maxItems": 100, "includeOnlineEvents": true, "rawOutput": false, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = { "queries": [ "tech meetup" ], "placeIds": [ "85977539" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("moving_beacon-owner1/eventbrite-events-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 = { "queries": ["tech meetup"], "placeIds": ["85977539"], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("moving_beacon-owner1/eventbrite-events-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 '{ "queries": [ "tech meetup" ], "placeIds": [ "85977539" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call moving_beacon-owner1/eventbrite-events-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=moving_beacon-owner1/eventbrite-events-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Eventbrite Events Scraper", "description": "Scrape Eventbrite events by keyword and location. Extract event names, dates, venues, organizers, ticket prices, categories, images, and URLs with automatic pagination and reliable data collection.", "version": "0.0", "x-build-id": "c01DtDxyCagF3COI9" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/moving_beacon-owner1~eventbrite-events-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-moving_beacon-owner1-eventbrite-events-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/moving_beacon-owner1~eventbrite-events-scraper/runs": { "post": { "operationId": "runs-sync-moving_beacon-owner1-eventbrite-events-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/moving_beacon-owner1~eventbrite-events-scraper/run-sync": { "post": { "operationId": "run-sync-moving_beacon-owner1-eventbrite-events-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "queries" ], "properties": { "queries": { "title": "Search queries", "type": "array", "description": "One or more search keywords, e.g. 'tech meetup', 'yoga', 'startup networking'.", "items": { "type": "string" } }, "placeIds": { "title": "Place IDs", "type": "array", "description": "Eventbrite/WhosOnFirst place IDs to search in. Default 85977539 = New York City. Find a place ID by opening an Eventbrite location page (e.g. eventbrite.com/d/ny--new-york/events/) and inspecting the search request payload, or leave the default.", "items": { "type": "string" } }, "dates": { "title": "Date filter", "enum": [ "current_future", "today", "tomorrow", "this_weekend", "this_week", "next_week", "this_month", "next_month" ], "type": "string", "description": "Eventbrite date filter.", "default": "current_future" }, "maxItems": { "title": "Max events per query/place", "minimum": 0, "type": "integer", "description": "Stop after collecting this many events for each query+place combination. Set 0 for unlimited (all pages).", "default": 100 }, "includeOnlineEvents": { "title": "Include online events", "type": "boolean", "description": "Keep events flagged as online/virtual in the results.", "default": true }, "rawOutput": { "title": "Include raw event object", "type": "boolean", "description": "Attach the full unmodified event JSON under the 'raw' field of each dataset item.", "default": false }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy to use. Residential recommended if you hit 403/anti-bot challenges." } } }, "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 } } } } } } } } } } ```