# Eventbrite Scraper - Events & Conferences (`santamaria-automations/eventbrite-scraper`) Actor Scrape event data from Eventbrite.com, the world's largest event platform. Extract event titles, dates, venues, prices, organizers, categories, and locations from millions of events worldwide. - **URL**: https://apify.com/santamaria-automations/eventbrite-scraper.md - **Developed by:** [Alessandro Santamaria](https://apify.com/santamaria-automations) (community) - **Categories:** Lead generation, Other, Travel - **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.87 / 1,000 event founds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 Scraper - Events & Conferences Scrape event data from Eventbrite.com, the world's largest event platform with millions of events in 180+ countries. ### What data can you extract? - **Event details**: title, description, start/end dates, timezone - **Venue info**: name, full address, city, country, GPS coordinates - **Pricing**: ticket price, currency, free/paid status - **Organizer**: name and profile URL - **Categories & tags**: event category, subcategory, format, and organizer tags - **Media**: event image URL ### Use with AI Agents (MCP) Connect this actor to any MCP-compatible AI client — Claude Desktop, Claude.ai, Cursor, VS Code, LangChain, LlamaIndex, or custom agents. **Apify MCP server URL:** ```` https://mcp.apify.com?tools=santamaria-automations/eventbrite-scraper ```` **Example prompt once connected:** > "Use `eventbrite-scraper` to scrape company data from eventbrite. Return results as a table." Clients that support dynamic tool discovery (Claude.ai, VS Code) will receive the full input schema automatically via `add-actor`. ### How to use #### Option 1: Search URLs Paste any Eventbrite search URL directly: ```json { "searchUrls": [ "https://www.eventbrite.com/d/germany/tech/", "https://www.eventbrite.com/d/ca--san-francisco/conferences/" ], "maxResults": 100 } ```` #### Option 2: Search query + location ```json { "searchQuery": "tech", "location": "germany", "maxResults": 50 } ``` #### Location format Eventbrite uses URL slugs for locations: - Countries: `germany`, `united-states`, `france` - Regions: `united-states--new-york`, `germany--berlin` - Cities: `ca--san-francisco`, `united-kingdom--london` - Online: `online` ### Input parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `searchUrls` | string\[] | - | Eventbrite search page URLs | | `searchQuery` | string | - | Search keyword | | `location` | string | `germany` | Location slug for URL building | | `maxResults` | integer | 100 | Maximum events to scrape (1-5000) | | `proxyConfiguration` | object | RESIDENTIAL proxy | Proxy settings (residential required) | ### Output example ```json { "id": "1982303023706", "title": "Women in Tech Connect Berlin 2026", "description": "This event is part of the Women in Tech Global Conference...", "start_date": "2026-05-12T09:00:00+02:00", "end_date": "2026-05-12T18:00:00+02:00", "timezone": "Europe/Berlin", "url": "https://www.eventbrite.com/e/women-in-tech-connect-berlin-tickets-1980168035900", "image_url": "https://img.evbuc.com/...", "is_free": false, "is_online": false, "price": "49.00", "currency": "EUR", "venue_name": "Berlin Conference Center", "venue_address": "Alexanderplatz 1, 10178 Berlin", "venue_city": "Berlin", "venue_country": "DE", "latitude": 52.5200, "longitude": 13.4050, "organizer_name": "Women in Tech Network", "organizer_url": "https://www.eventbrite.com/o/women-in-tech-12345", "category": "Science & Technology", "tags": ["High Tech", "Conference", "Networking"], "attendee_count": null, "source_url": "https://www.eventbrite.com/d/germany/tech/", "source_platform": "eventbrite.com", "scraped_at": "2026-03-31T12:00:00Z" } ``` ### Performance - \~128MB memory (Go binary with TLS fingerprinting) - \~20 events per search page - Fetches detail pages for price and organizer data - RESIDENTIAL proxy required (Eventbrite blocks datacenter IPs) ### Pricing Pay per result: $0.003 per event extracted. ### Related Actors **Related Scrapers** - [Google News Scraper — News articles](https://apify.com/santamaria-automations/google-news-scraper) - [YouTube Scraper — Video & channel data](https://apify.com/santamaria-automations/youtube-scraper) - [Similarweb Scraper — Website analytics](https://apify.com/santamaria-automations/similarweb-scraper) **European Classifieds** - [Kleinanzeigen.de Scraper — Germany](https://apify.com/santamaria-automations/kleinanzeigen-de-scraper) - [Willhaben.at Scraper — Austria](https://apify.com/santamaria-automations/willhaben-at-scraper) - [Tutti.ch Scraper — Switzerland](https://apify.com/santamaria-automations/tutti-ch-scraper) - [Marktplaats.nl Scraper — Netherlands](https://apify.com/santamaria-automations/marktplaats-nl-scraper) **Enrich your data** - [Website Email & Phone Scraper](https://apify.com/santamaria-automations/website-email-scraper) - [Google Maps Scraper](https://apify.com/santamaria-automations/google-maps-scraper) - [Website Contact Extractor](https://apify.com/santamaria-automations/website-contact-extractor) ### Issues & Feature Requests If something is not working or you're missing a feature or data field, please [open an issue](https://console.apify.com/actors/bn1zqW7IDOoj5evZl/issues) and we'll look into it. # Actor input Schema ## `searchUrls` (type: `array`): One or more Eventbrite search URLs. Example: https://www.eventbrite.com/d/germany/tech/ or https://www.eventbrite.com/d/ca--san-francisco/conferences/ ## `searchQuery` (type: `string`): Search keyword (e.g., 'tech', 'conferences', 'networking'). Used to build a search URL if searchUrls is empty. ## `location` (type: `string`): Location for search (e.g., 'germany', 'united-states--new-york', 'ca--san-francisco'). Only used if searchUrls is empty. ## `maxResults` (type: `integer`): Maximum number of events to scrape. ## `proxyConfiguration` (type: `object`): Apify proxy settings. RESIDENTIAL proxy required — Eventbrite blocks datacenter IPs. ## Actor input object example ```json { "searchUrls": [ "https://www.eventbrite.com/d/germany/tech/" ], "location": "germany", "maxResults": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `events` (type: `string`): Dataset containing scraped event data # 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 = { "searchUrls": [ "https://www.eventbrite.com/d/germany/tech/" ], "maxResults": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("santamaria-automations/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 = { "searchUrls": ["https://www.eventbrite.com/d/germany/tech/"], "maxResults": 50, } # Run the Actor and wait for it to finish run = client.actor("santamaria-automations/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 '{ "searchUrls": [ "https://www.eventbrite.com/d/germany/tech/" ], "maxResults": 50 }' | apify call santamaria-automations/eventbrite-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=santamaria-automations/eventbrite-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Eventbrite Scraper - Events & Conferences", "description": "Scrape event data from Eventbrite.com, the world's largest event platform. Extract event titles, dates, venues, prices, organizers, categories, and locations from millions of events worldwide.", "version": "1.0", "x-build-id": "9NsoHmBla2TF9MKMf" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/santamaria-automations~eventbrite-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-santamaria-automations-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/santamaria-automations~eventbrite-scraper/runs": { "post": { "operationId": "runs-sync-santamaria-automations-eventbrite-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/santamaria-automations~eventbrite-scraper/run-sync": { "post": { "operationId": "run-sync-santamaria-automations-eventbrite-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchUrls": { "title": "Search URLs", "type": "array", "description": "One or more Eventbrite search URLs. Example: https://www.eventbrite.com/d/germany/tech/ or https://www.eventbrite.com/d/ca--san-francisco/conferences/", "items": { "type": "string" } }, "searchQuery": { "title": "Search Query", "type": "string", "description": "Search keyword (e.g., 'tech', 'conferences', 'networking'). Used to build a search URL if searchUrls is empty." }, "location": { "title": "Location", "type": "string", "description": "Location for search (e.g., 'germany', 'united-states--new-york', 'ca--san-francisco'). Only used if searchUrls is empty.", "default": "germany" }, "maxResults": { "title": "Maximum Results", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of events to scrape.", "default": 100 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Apify proxy settings. RESIDENTIAL proxy required — Eventbrite blocks datacenter IPs.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```