# Eventbrite Scraper (`jungle_synthesizer/eventbrite-scraper`) Actor Extract event listings from Eventbrite including dates, venues, ticket pricing, organizers, and categories. Supports search by city, keyword, or direct URL. Ideal for market research, event discovery, and competitive analysis. - **URL**: https://apify.com/jungle\_synthesizer/eventbrite-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Automation, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 Scraper Extract event listings from Eventbrite — including dates, venues, ticket prices, organizers, and categories. Provide one or more Eventbrite search URLs (by city, category, or keyword) and the scraper returns structured event records ready for export. ### What you get Each scraped event includes: - **Event details** — title, description, event ID, and full URL - **Dates** — ISO 8601 start and end datetimes with timezone - **Location** — venue name, street address, city, state/region, and country - **Organizer** — name and profile URL - **Pricing** — minimum and maximum ticket prices with currency code - **Classification** — event category (e.g. `music`, `food-and-drink`, `science-and-tech`), paid/free status, and online/offline attendance mode - **Status** — whether the event is scheduled, cancelled, or postponed - **Image** — banner image URL ### Input | Field | Type | Description | |-------|------|-------------| | `startUrls` | array | Eventbrite search or listing URLs to scrape. Defaults to San Francisco if empty. | | `maxItems` | integer | Maximum number of events to return. Default: 20. | | `maxPages` | integer | Maximum search result pages to paginate per URL. Default: 5. | #### Example URLs - City search: `https://www.eventbrite.com/d/ca--san-francisco/events/` - Category search: `https://www.eventbrite.com/d/ca--san-francisco/music--events/` - Keyword search: `https://www.eventbrite.com/d/ny--new-york/yoga--events/` - Online events: `https://www.eventbrite.com/d/online/events/` ### Output schema ```json { "event_id": "1986516037945", "url": "https://www.eventbrite.com/e/red-bull-basement-world-final-2026-tickets-1986516037945", "title": "Red Bull Basement World Final 2026", "description": "First-time founders from around the world will pitch their ideas on a global stage.", "start_date": "2026-06-03T18:00:00-07:00", "end_date": "2026-06-03T22:00:00-07:00", "venue_name": "Pier 48", "venue_address": "Pier 48, San Francisco, CA 94158", "city": "San Francisco", "region": "CA", "country": "US", "organizer_name": "Red Bull North America Inc.", "organizer_url": "https://www.eventbrite.com/o/red-bull-north-america-inc-29237734451", "category": "science-and-tech", "paid_status": "paid", "price_min": "0.0", "price_max": "0.0", "price_currency": "USD", "attendance_mode": "offline", "event_status": "EventScheduled", "image_url": "https://img.evbuc.com/...", "scraped_at": "2026-05-30T17:12:34.201Z" } ```` ### Use cases - **Market research** — track event trends by city, category, or organizer - **Lead generation** — find businesses and organizers hosting events in your niche - **Competitive analysis** — monitor events from specific organizers - **Event discovery** — build curated event feeds for newsletters or apps - **Price benchmarking** — compare ticket pricing across event categories ### Notes - Eventbrite listing pages are server-rendered and do not require JavaScript execution - Pricing data (price\_min / price\_max) is extracted from the event's structured data; some events display "Check ticket price on event" instead of a numeric price - Online-only events will have `venue_name: null` and `attendance_mode: "online"` - `scraped_at` reflects the UTC time of the scrape run # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `startUrls` (type: `array`): Eventbrite search URLs to scrape (e.g. https://www.eventbrite.com/d/ca--san-francisco/events/). Leave empty to use the default San Francisco search. ## `maxItems` (type: `integer`): Maximum number of events to scrape. Default is 20. ## `maxPages` (type: `integer`): Maximum number of search result pages to paginate through per URL. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "startUrls": [ { "url": "https://www.eventbrite.com/d/ca--san-francisco/events/" } ], "maxItems": 10, "maxPages": 3 } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "startUrls": [ { "url": "https://www.eventbrite.com/d/ca--san-francisco/events/" } ], "maxItems": 10, "maxPages": 3 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "startUrls": [{ "url": "https://www.eventbrite.com/d/ca--san-francisco/events/" }], "maxItems": 10, "maxPages": 3, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "startUrls": [ { "url": "https://www.eventbrite.com/d/ca--san-francisco/events/" } ], "maxItems": 10, "maxPages": 3 }' | apify call jungle_synthesizer/eventbrite-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/eventbrite-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Eventbrite Scraper", "description": "Extract event listings from Eventbrite including dates, venues, ticket pricing, organizers, and categories. Supports search by city, keyword, or direct URL. Ideal for market research, event discovery, and competitive analysis.", "version": "0.1", "x-build-id": "8Rd58ZNnYcUGYgGSV" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~eventbrite-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-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/jungle_synthesizer~eventbrite-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-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/jungle_synthesizer~eventbrite-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-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", "required": [ "maxItems" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "startUrls": { "title": "Start URLs", "type": "array", "description": "Eventbrite search URLs to scrape (e.g. https://www.eventbrite.com/d/ca--san-francisco/events/). Leave empty to use the default San Francisco search.", "items": { "type": "string" } }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of events to scrape. Default is 20.", "default": 20 }, "maxPages": { "title": "Max Pages", "type": "integer", "description": "Maximum number of search result pages to paginate through per URL.", "default": 5 } } }, "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 } } } } } } } } } } ```