# Eventbrite Events Scraper Pro — Search, Filter & Export Events (`avinashchby/eventbrite-events-scraper-pro`) Actor Scrape Eventbrite events by keyword, city, date range, category, and price. Get event name, date, location, price, organizer, description, and direct ticket URL. Ideal for event research, lead generation, and market analysis. - **URL**: https://apify.com/avinashchby/eventbrite-events-scraper-pro.md - **Developed by:** [Avinash](https://apify.com/avinashchby) (community) - **Categories:** Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 Events Scraper Pro > **What this actor does:** Searches Eventbrite for events matching your keywords, city, date range, category, and price type — then exports all results as structured JSON. Paginates through multiple result pages. No API key needed. ### Features - Search by keyword, city, country, date range, category, and price type - Paginates through up to 20 pages of results (~20 events per page = up to 400 events) - Extracts: event name, date, location, venue, organizer, ticket price, description, image URL - Filters: free vs paid events, date range - Output: clean JSON compatible with Airtable, Notion, Make.com, and Zapier ### Use Cases - **Event research**: Find all AI conferences in San Francisco in Q3 2026 - **Lead generation**: Discover startup networking events and get organizer names - **Market research**: Track which categories and cities have the most events - **Content creation**: Build event roundup newsletters automatically - **Competitive intelligence**: Monitor what events competitors are hosting or attending ### Input Parameters | Parameter | Type | Description | Default | |-----------|------|-------------|---------| | `query` | string | Search keywords (e.g. "AI summit", "crypto meetup") | — | | `city` | string | City name (e.g. "San Francisco", "London") | — | | `country` | string | Country code (e.g. "us", "gb", "de") | "us" | | `dateFrom` | string | Start date filter (YYYY-MM-DD) | — | | `dateTo` | string | End date filter (YYYY-MM-DD) | — | | `category` | string | Eventbrite category (e.g. "technology", "business", "music") | — | | `priceType` | string | "free", "paid", or "both" | "both" | | `maxPages` | number | Pages to scrape (each ~20 events) | 5 | | `maxResults` | number | Maximum events to return | 100 | ### Output Fields Each event in the dataset contains: | Field | Description | |-------|-------------| | `name` | Event title | | `url` | Eventbrite event page (direct ticket link) | | `startAt` | ISO 8601 start datetime | | `endDate` | ISO 8601 end datetime (if available) | | `description` | Plain text description | | `location` | "City, Country" string | | `venue` | Object: name, address, city, country, lat, lng | | `isOnline` | Boolean — true if virtual event | | `isFree` | Boolean | | `ticketPrice` | Price string (e.g. "25 USD") or "Free" | | `ticketUrl` | Direct link to purchase tickets | | `organizer` | Organizer name | | `imageUrl` | Event cover image URL | | `scrapedAt` | Timestamp when event was scraped | ### Example Input ```json { "query": "AI startup", "city": "San Francisco", "country": "us", "dateFrom": "2026-05-01", "dateTo": "2026-08-31", "category": "technology", "priceType": "both", "maxPages": 3, "maxResults": 60 } ```` ### Example Output ```json { "name": "AI Founders Summit 2026", "url": "https://www.eventbrite.com/e/ai-founders-summit-2026-tickets-1234567890", "startAt": "2026-06-15T18:00:00.000Z", "location": "San Francisco, US", "venue": { "name": "Moscone Center", "city": "San Francisco", "country": "US" }, "isOnline": false, "isFree": false, "ticketPrice": "299 USD", "organizer": "TechConf Events LLC", "source": "eventbrite", "scrapedAt": "2026-04-23T10:00:00.000Z" } ``` ### Questions answered by this actor - Where are all the AI events in San Francisco this summer? - What free business networking events are happening in New York? - Who organizes the most technology conferences in London? - What's the average ticket price for startup events in my city? - Which music festivals are coming up in Austin next month? ### Frequently Asked Questions **Does this require an Eventbrite API key?** No. This actor scrapes the public Eventbrite website using Playwright. **How many events can I get per run?** Up to 400 events (20 pages × ~20 events each). Set `maxPages: 20, maxResults: 400`. **How fresh is the data?** Data is scraped live each time you run the actor. **Can I schedule this actor?** Yes — use Apify's built-in scheduling to run daily or weekly and keep your dataset fresh. **What Eventbrite categories can I use?** Common slugs: `technology`, `business`, `music`, `food-and-drink`, `arts`, `science-and-tech`, `sports`, `health`, `family-education`, `charity`. # Actor input Schema ## `query` (type: `string`): Keywords to search for on Eventbrite (e.g. 'AI conference', 'startup networking') ## `city` (type: `string`): City to search in (e.g. 'San Francisco', 'New York', 'London') ## `country` (type: `string`): Two-letter country code (e.g. 'us', 'gb', 'de'). Defaults to 'us'. ## `dateFrom` (type: `string`): Filter events starting from this date (YYYY-MM-DD) ## `dateTo` (type: `string`): Filter events up to this date (YYYY-MM-DD) ## `category` (type: `string`): Eventbrite category slug (e.g. 'technology', 'business', 'music', 'food-and-drink', 'arts', 'science-and-tech') ## `priceType` (type: `string`): Filter by ticket price ## `maxPages` (type: `integer`): Number of search result pages to scrape (each page has ~20 events). Default: 5. ## `maxResults` (type: `integer`): Maximum total events to return. Default: 100. ## Actor input object example ```json { "country": "us", "priceType": "both", "maxPages": 5, "maxResults": 100 } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("avinashchby/eventbrite-events-scraper-pro").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 = {} # Run the Actor and wait for it to finish run = client.actor("avinashchby/eventbrite-events-scraper-pro").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 '{}' | apify call avinashchby/eventbrite-events-scraper-pro --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=avinashchby/eventbrite-events-scraper-pro", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Eventbrite Events Scraper Pro — Search, Filter & Export Events", "description": "Scrape Eventbrite events by keyword, city, date range, category, and price. Get event name, date, location, price, organizer, description, and direct ticket URL. Ideal for event research, lead generation, and market analysis.", "version": "1.0", "x-build-id": "ssDreVSQWuRHsoJtx" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/avinashchby~eventbrite-events-scraper-pro/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-avinashchby-eventbrite-events-scraper-pro", "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/avinashchby~eventbrite-events-scraper-pro/runs": { "post": { "operationId": "runs-sync-avinashchby-eventbrite-events-scraper-pro", "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/avinashchby~eventbrite-events-scraper-pro/run-sync": { "post": { "operationId": "run-sync-avinashchby-eventbrite-events-scraper-pro", "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": { "query": { "title": "Search keyword", "type": "string", "description": "Keywords to search for on Eventbrite (e.g. 'AI conference', 'startup networking')" }, "city": { "title": "City", "type": "string", "description": "City to search in (e.g. 'San Francisco', 'New York', 'London')" }, "country": { "title": "Country code", "type": "string", "description": "Two-letter country code (e.g. 'us', 'gb', 'de'). Defaults to 'us'.", "default": "us" }, "dateFrom": { "title": "Start date", "type": "string", "description": "Filter events starting from this date (YYYY-MM-DD)" }, "dateTo": { "title": "End date", "type": "string", "description": "Filter events up to this date (YYYY-MM-DD)" }, "category": { "title": "Category", "type": "string", "description": "Eventbrite category slug (e.g. 'technology', 'business', 'music', 'food-and-drink', 'arts', 'science-and-tech')" }, "priceType": { "title": "Price filter", "enum": [ "free", "paid", "both" ], "type": "string", "description": "Filter by ticket price", "default": "both" }, "maxPages": { "title": "Max pages", "minimum": 1, "maximum": 20, "type": "integer", "description": "Number of search result pages to scrape (each page has ~20 events). Default: 5.", "default": 5 }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum total events to return. Default: 100.", "default": 100 } } }, "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 } } } } } } } } } } ```