# Eventbrite Events Spider (`getdataforme/eventbrite-events-spider`) Actor Extract detailed event data from Eventbrite URLs with this Apify Actor. Scrape names, summaries, dates, organizers, images, and more for market research, competitive intelligence, and event planning. Features flexible input, fast performance, JSON output, and no coding required.... - **URL**: https://apify.com/getdataforme/eventbrite-events-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, Automation, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 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.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 ### Description Extract detailed event data from Eventbrite URLs with this Apify Actor. Scrape names, summaries, dates, organizers, images, and more for market research, competitive intelligence, and event planning. Features flexible input, fast performance, JSON output, and no coding required.... --- ## Eventbrite Events Spider ### Introduction The Eventbrite Events Spider is a powerful Apify Actor designed to extract detailed event information from Eventbrite URLs. It efficiently scrapes event data such as names, summaries, dates, organizers, and images, enabling users to gather comprehensive insights from Eventbrite listings. This tool is ideal for researchers, marketers, and businesses needing automated data collection from Eventbrite events. ### Features - **Comprehensive Data Extraction**: Captures key event details including ID, name, summary, URL, status, pricing, location, dates, organizer info, images, tags, and categories. - **Flexible URL Input**: Accepts multiple Eventbrite event URLs for batch processing, supporting both individual events and lists. - **High Reliability**: Built with robust error handling to ensure consistent data retrieval even from complex or dynamic pages. - **Fast Performance**: Optimized for speed, processing multiple URLs efficiently without compromising data quality. - **JSON Output**: Delivers structured JSON data that's easy to integrate into workflows, databases, or analytics tools. - **No Coding Required**: User-friendly interface on Apify Store for quick setup and execution. - **Scalable**: Handles large volumes of events, making it suitable for extensive scraping projects. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|--------|----------|-------------|---------| | Urls | array | Yes | A list of Eventbrite event URLs to scrape. Each URL must be a valid HTTP/HTTPS link to an event page. | ["https://www.eventbrite.com/e/ready-to-launch-helping-your-teen-find-their-next-step-after-high-school-tickets-1980369908707"] | ### Example Usage To run the Actor, provide input in JSON format like this: ```json { "Urls": [ "https://www.eventbrite.com/e/ready-to-launch-helping-your-teen-find-their-next-step-after-high-school-tickets-1980369908707" ] } ```` The output will be a JSON array of event objects, such as: ```json [ { "id": "1980369908707", "name": "Ready to Launch: Helping Your Teen Find Their Next Step After High School", "summary": "If your teen is a senior in high school, and not sure what they will do next, this webinar is for you! Learn what exciting options exist.", "url": "https://www.eventbrite.com/e/ready-to-launch-helping-your-teen-find-their-next-step-after-high-school-tickets-1980369908707", "status": "completed", "is_free": true, "is_online": true, "start_utc": "2026-01-24T18:00:00Z", "end_utc": "2026-01-24T19:00:00Z", "timezone": "America/New_York", "organizer_name": "Dr. Emily Wassell", "organizer_id": "120668479704", "organizer_url": "https://www.eventbrite.com/o/dr-emily-wassell-120668479704", "images": [ "https://img.evbuc.com/https%3A%2F%2Fcdn.evbuc.com%2Fimages%2F1174609547%2F2983711240129%2F1%2Foriginal.20260112-114352?crop=focalpoint&fit=crop&h=450&w=720&auto=format%2Ccompress&q=75&sharp=10&fp-x=0.5&fp-y=0.5&s=21b9f5060904eb07d106f32a76e81ad2", "https://img.evbuc.com/https%3A%2F%2Fcdn.evbuc.com%2Fimages%2F1174609388%2F2983711261276%2F1%2Foriginal.png?h=740&w=1200&auto=format%2Ccompress&q=75&sharp=10&rect=0%2C0%2C940%2C470&s=c3f681c3e7b4b9b34eba9bbe24e1afec" ], "tags": [ "Online Events", "Things To Do Online", "{relevant_place_name} {format_string}", "{relevant_place_name} {category_string} {format_string}" ], "category": "Family & Education", "subcategory": null, "actor_id": "EyvesaORtK4Cklcfy", "run_id": "jH82T3fAyzUmVHIvc" } ] ``` ### Use Cases - **Market Research**: Analyze event trends, categories, and attendance to identify popular topics in specific regions. - **Competitive Intelligence**: Monitor competitors' events for pricing, scheduling, and promotional strategies. - **Content Aggregation**: Build databases of events for directories, calendars, or recommendation engines. - **Academic Research**: Collect data on educational or community events for studies on social engagement. - **Business Automation**: Automate lead generation by extracting organizer contacts from relevant events. - **Event Planning**: Research similar events to inform your own event strategies and avoid overlaps. ### Installation and Usage 1. Search for "Eventbrite Events Spider" in the Apify Store 2. Click "Try for free" or "Run" 3. Configure input parameters 4. Click "Start" to begin extraction 5. Monitor progress in the log 6. Export results in your preferred format (JSON, CSV, Excel) ### Output Format The Actor outputs a JSON array of objects, each representing a scraped event. Key fields include: - `id`: Unique Eventbrite event ID. - `name`: Event title. - `summary`: Brief description. - `url`: Direct link to the event. - `status`: Event status (e.g., "completed"). - `is_free` and `is_online`: Boolean flags for pricing and location. - `start_utc` and `end_utc`: Event timings in UTC. - `timezone`: Time zone string. - `organizer_name`, `organizer_id`, `organizer_url`: Organizer details. - `images`: Array of image URLs. - `tags`: List of descriptive tags. - `category` and `subcategory`: Event classification. - `actor_id` and `run_id`: Apify-specific identifiers. This structured format ensures easy parsing and integration. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: https://getdataforme.com/contact/ We're here to help you get the most out of this Actor! # Actor input Schema ## `Urls` (type: `array`): The urls for the spider. ## Actor input object example ```json { "Urls": [ "https://www.eventbrite.com/e/ready-to-launch-helping-your-teen-find-their-next-step-after-high-school-tickets-1980369908707" ] } ``` # 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("getdataforme/eventbrite-events-spider").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("getdataforme/eventbrite-events-spider").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 getdataforme/eventbrite-events-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/eventbrite-events-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Eventbrite Events Spider", "description": "Extract detailed event data from Eventbrite URLs with this Apify Actor. Scrape names, summaries, dates, organizers, images, and more for market research, competitive intelligence, and event planning. Features flexible input, fast performance, JSON output, and no coding required....", "version": "0.0", "x-build-id": "uaOVzVzeLqnYrJ32B" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~eventbrite-events-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-eventbrite-events-spider", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~eventbrite-events-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-eventbrite-events-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~eventbrite-events-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-eventbrite-events-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "Urls": { "title": "Urls", "minItems": 1, "type": "array", "description": "The urls for the spider.", "default": [ "https://www.eventbrite.com/e/ready-to-launch-helping-your-teen-find-their-next-step-after-high-school-tickets-1980369908707" ], "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```