# Eventbrite Events Scraper (`gio21/eventbrite-events-scraper`) Actor - **URL**: https://apify.com/gio21/eventbrite-events-scraper.md - **Developed by:** [Gio](https://apify.com/gio21) (community) - **Categories:** Travel - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $3.00 / 1,000 event scrapeds 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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 Browse **Eventbrite** by city and get structured event results — no login, no API key. Returns event name, description, start/end date, venue name, full address, geo coordinates, attendance mode (online/offline), image and URL. ### Input | Field | Type | Description | |-------|------|-------------| | `locations` | array | Eventbrite location slugs, e.g. `ca--san-francisco`, `ny--new-york` | | `urls` | array | Optional: full Eventbrite browse URLs instead of/in addition to locations | | `query` | string | Optional keyword filter, e.g. `music` | | `maxPages` | integer | Result pages to fetch per location (default 2, max 10) | | `maxItems` | integer | Max events to return (default 50, max 300) | Example: ```json { "locations": ["ca--san-francisco", "ny--new-york"], "query": "music", "maxItems": 100 } ```` ### Output ```json { "name": "Neon Glow Party Cruise", "description": "Your brightest neon is your ticket to shine!", "url": "https://www.eventbrite.com/e/neon-glow-party-cruise-tickets-1992660504209", "startDate": "2026-08-15", "endDate": "2026-08-16", "eventAttendanceMode": "https://schema.org/OfflineEventAttendanceMode", "venueName": "Pier 3", "streetAddress": "Pier 3", "city": "San Francisco", "region": "CA", "postalCode": "94105", "country": "US", "latitude": "37.7976602", "longitude": "-122.395642", "image": "https://img.evbuc.com/...", "scrapedAt": "2026-07-28T00:00:00.000Z" } ``` ### Common uses - Local event discovery and calendars - Competitor and market monitoring for event organizers - Feeding venues/dates into marketing or trend dashboards - Building city event guides ### Notes Data comes straight from Eventbrite's own structured markup on the browse page, so no extra request per event is needed. # Actor input Schema ## `locations` (type: `array`): Eventbrite location slugs to browse, e.g. "ca--san-francisco" or "ny--new-york" (from eventbrite.com/d//events/). ## `urls` (type: `array`): Optional: full Eventbrite browse URLs instead of/in addition to locations, e.g. https://www.eventbrite.com/d/ca--san-francisco/events/. ## `query` (type: `string`): Optional keyword to filter events within each location, e.g. "music". ## `maxPages` (type: `integer`): How many result pages to fetch per location (each page can hold dozens of events). ## `maxItems` (type: `integer`): Maximum number of events to return in total. ## Actor input object example ```json { "locations": [ "ca--san-francisco" ], "maxPages": 2, "maxItems": 50 } ``` # 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 = { "locations": [ "ca--san-francisco" ], "maxPages": 2, "maxItems": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("gio21/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 = { "locations": ["ca--san-francisco"], "maxPages": 2, "maxItems": 50, } # Run the Actor and wait for it to finish run = client.actor("gio21/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 '{ "locations": [ "ca--san-francisco" ], "maxPages": 2, "maxItems": 50 }' | apify call gio21/eventbrite-events-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=gio21/eventbrite-events-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Eventbrite Events Scraper", "version": "0.0", "x-build-id": "dyQWli0yZeodo2WTm" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/gio21~eventbrite-events-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-gio21-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/gio21~eventbrite-events-scraper/runs": { "post": { "operationId": "runs-sync-gio21-eventbrite-events-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/gio21~eventbrite-events-scraper/run-sync": { "post": { "operationId": "run-sync-gio21-eventbrite-events-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "locations": { "title": "Locations", "type": "array", "description": "Eventbrite location slugs to browse, e.g. \"ca--san-francisco\" or \"ny--new-york\" (from eventbrite.com/d//events/).", "items": { "type": "string" } }, "urls": { "title": "Full browse URLs", "type": "array", "description": "Optional: full Eventbrite browse URLs instead of/in addition to locations, e.g. https://www.eventbrite.com/d/ca--san-francisco/events/.", "items": { "type": "string" } }, "query": { "title": "Keyword filter", "type": "string", "description": "Optional keyword to filter events within each location, e.g. \"music\"." }, "maxPages": { "title": "Max pages per location", "minimum": 1, "maximum": 10, "type": "integer", "description": "How many result pages to fetch per location (each page can hold dozens of events).", "default": 2 }, "maxItems": { "title": "Max events", "minimum": 1, "maximum": 300, "type": "integer", "description": "Maximum number of events to return in total.", "default": 50 } } }, "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 } } } } } } } } } } ```