# Eventbrite Scraper - Events, Dates & Organizers (`oriented_wallpaper/eventbrite-events-scraper`) Actor Scrape Eventbrite events by city, category or URL — title, ISO start/end dates, venue, address, online flag, parsed price (free flag + min/max + currency), organizer, category, tags & image. Dedup, upcoming-first sort, clean flat rows. Build event lists. Export CSV/JSON/Excel. - **URL**: https://apify.com/oriented\_wallpaper/eventbrite-events-scraper.md - **Developed by:** [Flash Scrape](https://apify.com/oriented_wallpaper) (community) - **Categories:** Lead generation - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.50 / 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 ## Eventbrite Scraper - Events, Dates & Organizers **This Eventbrite scraper turns any city or category search into a clean event list** — one flat row per event with the title, ISO start/end dates, venue and address, an online flag, a parsed price (free flag + min/max + currency), organizer, category, format, tags, image, and the event URL. Search by city, filter by category/date/price, and export to CSV, JSON, or Excel. Built for **event marketers, sponsors, promoters, lead-gen teams, and researchers** who want a spreadsheet of events — not a nested scrape. Public event data only: no login. --- ### How to scrape Eventbrite events You have two modes: 1. **Search mode** — enter an Eventbrite **city slug** (e.g. `ny--new-york`, `united-kingdom--london`) and optionally a **category**, **date range**, **format**, **price**, or **online-only**. 2. **URL mode** — paste Eventbrite search or event-page URLs into `searchUrls` for full control. Then the scraper pulls matching events via the proven [`parseforge/eventbrite-scraper`](https://apify.com/parseforge/eventbrite-scraper) engine, cleans each one (price parsed into a free flag + numbers, dates normalized to ISO, URLs deduped), sorts upcoming-first, and hands you a clean table for CSV, JSON, or Excel. > **Tip:** `city` must be the Eventbrite **slug** (the bit in an Eventbrite URL like `/d/ny--new-york/`), not free text. If unsure, just paste a search URL into `searchUrls`. --- ### What data you get Every row is one event, soonest first: - **Title and event URL.** - **ISO start & end dates** — normalized, sortable. - **Venue and address** — plus an `isOnline` flag for virtual events. - **Parsed price** — `isFree`, `priceMin`, `priceMax`, and `currency`, plus the raw price text. - **Organizer** — name (and URL when organizer enrichment is on). - **Category, format, and tags.** - **Ticket availability and cover image.** #### Input | Field | Type | Description | |---|---|---| | `searchUrls` | array | Eventbrite search/event URLs (most flexible). | | `city` | string | Eventbrite city **slug** (e.g. `ny--new-york`). | | `category` | string | Music, Business, Food & Drink, … | | `date` | string | Today / this weekend / this week / this month. | | `format` | string | conference, festival, seminar, networking, … | | `price` | string | Free or paid only. | | `online` | boolean | Online-only events. | | `retrieveOrganizerData` | boolean | Enrich organizer details. Default `true`. | | `maxItems` | integer | Max events to return. Default `100`. | **Example input:** ```json { "city": "ny--new-york", "category": "music", "date": "this-month", "maxItems": 100, "retrieveOrganizerData": true } ```` #### JSON output sample ```json { "title": "Friday Night Jazz at the Blue Room", "startDate": "2026-07-03", "startDateTime": "2026-07-03T19:00", "endDateTime": "2026-07-03T22:00", "timezone": "America/New_York", "venue": "The Blue Room", "address": "123 W 45th St, New York, NY", "city": "New York", "isOnline": false, "isFree": false, "priceMin": 20, "priceMax": 45, "currency": "USD", "priceDisplay": "$20 - $45", "ticketsAvailable": true, "isSoldOut": false, "status": "published", "organizer": "Blue Room Presents", "organizerUrl": "https://www.eventbrite.com/o/9469346654", "category": "Music", "subcategory": "Jazz", "format": "Concert or Performance", "tags": ["jazz", "live music"], "summary": "An evening of live jazz at sunset…", "imageUrl": "https://img.evbuc.com/...", "eventUrl": "https://www.eventbrite.com/e/friday-night-jazz-1234567890", "ticketsUrl": "https://www.eventbrite.com/checkout-external?eid=1234567890", "eventId": "1234567890" } ``` Results render as a clean, sortable table on the Output tab and export to CSV, JSON, or Excel. *** ### Use cases - **Event lead lists** — build a list of organizers/events in a city + category to pitch sponsorships or services. - **Competitive/market research** — track what events are running, when, and at what price. - **Event aggregators** — populate a niche events calendar or newsletter. - **Demand analysis** — see pricing and availability across a category. *** ### Use with AI agents & automation Run this from the Apify **MCP** server so AI agents (Claude, ChatGPT, Cursor) can pull events as a tool call, schedule runs via **Make**, **n8n**, or **Zapier** to keep an events calendar fresh, or sync the dataset to **Google Sheets**. Clean flat JSON drops into pipelines with no glue code. *** ### Pricing **Pay-per-result — you're charged only for the events delivered.** Set `maxItems` to control cost. See the Apify Store page for the current per-result price. *** ### FAQ **Do I need an Eventbrite account or API key?** No. It reads public event pages with no login and no key. **What's the `city` slug?** It's Eventbrite's location identifier from the URL (e.g. `ny--new-york`). If you don't know it, paste a search URL into `searchUrls` instead. **Why is the organizer sometimes empty?** Turn on `retrieveOrganizerData` to enrich it — without enrichment some organizer fields may be blank. **Is scraping Eventbrite legal?** This collects **public** event data only. Follow Eventbrite's terms and local law; use the data for research/marketing. **Can I export to CSV or Google Sheets?** Yes — CSV, JSON, or Excel from the Output tab, or sync to Google Sheets via Make, n8n, or Zapier. *** ### Other Flash Scrape scrapers - [Indeed Jobs Scraper](https://apify.com/oriented_wallpaper/indeed-jobs-scraper) — Indeed job listings - [LinkedIn Jobs Scraper](https://apify.com/oriented_wallpaper/linkedin-jobs-scraper) — LinkedIn job postings - [Google Search Results Scraper](https://apify.com/oriented_wallpaper/google-serp-scraper) — Google SERP & rankings - [Amazon Product Scraper](https://apify.com/oriented_wallpaper/amazon-product-scraper) — Amazon products & prices - [Trustpilot Reviews Scraper](https://apify.com/oriented_wallpaper/trustpilot-reviews-scraper) — Trustpilot reviews - [Google Maps Leads Scraper](https://apify.com/oriented_wallpaper/google-maps-leads-opener) — Google Maps business leads # Actor input Schema ## `searchUrls` (type: `array`): Paste Eventbrite search or event-page URLs to scrape directly — the most flexible mode. e.g. https://www.eventbrite.com/d/ny--new-york/music--events/ ## `city` (type: `string`): Eventbrite city SLUG for search mode (NOT free text) — e.g. 'ny--new-york', 'ca--san-francisco', 'united-kingdom--london'. Find it in an Eventbrite URL. ## `category` (type: `string`): Event category filter. ## `date` (type: `string`): When the events take place. ## `format` (type: `string`): Event format (e.g. conference, festival, seminar, networking). Leave empty for all. ## `price` (type: `string`): Free or paid events only. ## `online` (type: `boolean`): Restrict to online-only events. ## `retrieveOrganizerData` (type: `boolean`): Make an extra request per organizer to enrich organizer details (slightly slower). ## `maxItems` (type: `integer`): Maximum number of events to return. ## `dateFrom` (type: `string`): Keep only events on/after this date (YYYY-MM-DD). Optional, applied after scraping. ## `dateTo` (type: `string`): Keep only events on/before this date (YYYY-MM-DD). Optional, applied after scraping. ## Actor input object example ```json { "searchUrls": [], "city": "ny--new-york", "category": "", "date": "", "price": "", "online": false, "retrieveOrganizerData": true, "maxItems": 100 } ``` # 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 = { "city": "ny--new-york" }; // Run the Actor and wait for it to finish const run = await client.actor("oriented_wallpaper/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 = { "city": "ny--new-york" } # Run the Actor and wait for it to finish run = client.actor("oriented_wallpaper/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 '{ "city": "ny--new-york" }' | apify call oriented_wallpaper/eventbrite-events-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=oriented_wallpaper/eventbrite-events-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Eventbrite Scraper - Events, Dates & Organizers", "description": "Scrape Eventbrite events by city, category or URL — title, ISO start/end dates, venue, address, online flag, parsed price (free flag + min/max + currency), organizer, category, tags & image. Dedup, upcoming-first sort, clean flat rows. Build event lists. Export CSV/JSON/Excel.", "version": "0.1", "x-build-id": "OZ8dHzIrrNymmeoJH" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/oriented_wallpaper~eventbrite-events-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-oriented_wallpaper-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/oriented_wallpaper~eventbrite-events-scraper/runs": { "post": { "operationId": "runs-sync-oriented_wallpaper-eventbrite-events-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/oriented_wallpaper~eventbrite-events-scraper/run-sync": { "post": { "operationId": "run-sync-oriented_wallpaper-eventbrite-events-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchUrls": { "title": "Eventbrite search / event URLs", "type": "array", "description": "Paste Eventbrite search or event-page URLs to scrape directly — the most flexible mode. e.g. https://www.eventbrite.com/d/ny--new-york/music--events/", "default": [], "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "city": { "title": "City slug", "type": "string", "description": "Eventbrite city SLUG for search mode (NOT free text) — e.g. 'ny--new-york', 'ca--san-francisco', 'united-kingdom--london'. Find it in an Eventbrite URL." }, "category": { "title": "Category", "enum": [ "", "music", "business", "food-and-drink", "community", "performing-arts", "film-and-media", "sports-and-fitness", "health", "science-and-tech", "travel-and-outdoor", "charity-and-causes", "religion-and-spirituality", "family-and-education", "fashion", "home-and-lifestyle", "hobbies" ], "type": "string", "description": "Event category filter.", "default": "" }, "date": { "title": "Date range", "enum": [ "", "today", "this-weekend", "this-week", "this-month" ], "type": "string", "description": "When the events take place.", "default": "" }, "format": { "title": "Format", "type": "string", "description": "Event format (e.g. conference, festival, seminar, networking). Leave empty for all." }, "price": { "title": "Price", "enum": [ "", "free", "paid" ], "type": "string", "description": "Free or paid events only.", "default": "" }, "online": { "title": "Online events only", "type": "boolean", "description": "Restrict to online-only events.", "default": false }, "retrieveOrganizerData": { "title": "Enrich organizer data", "type": "boolean", "description": "Make an extra request per organizer to enrich organizer details (slightly slower).", "default": true }, "maxItems": { "title": "Max events", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of events to return.", "default": 100 }, "dateFrom": { "title": "From date", "type": "string", "description": "Keep only events on/after this date (YYYY-MM-DD). Optional, applied after scraping." }, "dateTo": { "title": "To date", "type": "string", "description": "Keep only events on/before this date (YYYY-MM-DD). Optional, applied after scraping." } } }, "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 } } } } } } } } } } ```