# Ticketmaster Events Scraper ๐ŸŽซ (`easyapi/ticketmaster-events-scraper`) Actor A powerful scraper that extracts comprehensive event data from Ticketmaster search results, including event details, venues, dates, prices, and availability status. Perfect for event monitoring, market research, and competitive analysis. ๐ŸŽซ - **URL**: https://apify.com/easyapi/ticketmaster-events-scraper.md - **Developed by:** [EasyApi](https://apify.com/easyapi) (community) - **Categories:** E-commerce, Integrations, Other - **Stats:** 55 total users, 5 monthly users, 100.0% runs succeeded, 3 bookmarks - **User rating**: No ratings yet ## Pricing from $4.99 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## Ticketmaster Events Scraper ๐ŸŽซ Scrape event details from Ticketmaster search results including event information, venues, dates, prices, and more. ### ๐ŸŽฏ Features - Scrapes detailed event information from Ticketmaster search results - Supports multiple search URLs - Extracts comprehensive event data including: - Event title and ID - Dates (start date, onsale date, presale dates) - Venue details (location, address, coordinates) - Price information - Artist information - Add-ons (parking, etc.) - Ticket availability status - Built-in proxy support - Random delays and request optimization - Handles pagination automatically ### ๐Ÿ“Š Output Dataset The actor stores results in a dataset, with each item containing: - `searchUrl`: Original search URL - `scrapedAt`: Timestamp of when the data was collected - `event`: Detailed event information including: - Title and IDs - Dates and times - Venue information - Price details - Artist information - Ticket status - Additional services ### ๐Ÿ’ก Use Cases - Event monitoring and analytics - Price tracking - Venue capacity analysis - Market research - Event planning - Competitive analysis ### ๐Ÿ“‹ Input Parameters - `searchUrls`: Array of Ticketmaster search URLs to scrape - `maxItems`: Maximum number of items to scrape (optional) - `proxyConfiguration`: Proxy settings (optional) ### ๐Ÿ” Sample Usage #### Input Example A full explanation of an input example in JSON. ```json { "searchUrls": [ "https://www.ticketmaster.com/search?q=u2" ], "maxItems": 30 } ```` #### Output sample The results will be wrapped into a dataset which you can always find in theย **Storage**ย tab. Here's an excerpt from the data you'd get if you apply the input parameters above: And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML. ```json [ { "searchUrl": "https://www.ticketmaster.com/search?q=u2", "scrapedAt": "2025-02-08T07:58:42.761Z", "event": { "title": "V-U2 An Immersive Concert Film at Sphere Las Vegas", "id": "17006162413A9D50", "discoveryId": "169ZkAx8KZA51Ckv", "dates": { "dateDisplay": "showDateTime", "startDate": "2025-02-08T03:00:00Z", "onsaleDate": "2024-11-07T18:00:00Z", "spanMultipleDays": false }, "presaleDates": [ { "name": "Verizon Access Featured Venues Offer", "startDateTime": "2025-02-05T01:00:00Z", "endDateTime": "2025-02-08T03:45:00Z" } ], "url": "https://www.ticketmaster.com/vu2-an-immersive-concert-film-at-las-vegas-nevada-02-07-2025/event/17006162413A9D50", "partnerEvent": false, "isPartner": false, "showTmButton": true, "venue": { "city": "Las Vegas", "name": "Sphere", "country": "US", "state": "NV", "url": "https://www.ticketmaster.com/sphere-tickets-las-vegas/venue/189524", "latitude": 36.1207267, "longitude": -115.1642896, "addressLineOne": "255 Sands Avenue", "code": "89169" }, "timeZone": "America/Los_Angeles", "cancelled": false, "postponed": false, "rescheduled": false, "tba": false, "local": true, "sameRegion": false, "soldOut": false, "limitedAvailability": false, "ticketingStatus": "UNKNOWN", "eventChangeStatus": "none", "virtual": false, "addOns": [ { "type": "Parking", "options": [ { "name": "Sphere Parking (V-U2 An Immersive Concert Film at Sphere Las Vegas)", "url": "https://www.ticketmaster.com/sphere-parking-vu2-an-immersive-concert-las-vegas-nevada-02-07-2025/event/17006226DB791D21" } ] } ], "artists": [ { "name": "V-U2 An Immersive Concert Film at Sphere Las Vegas", "url": "https://www.ticketmaster.com/vu2-an-immersive-concert-film-at-tickets/artist/3195873" }, { "name": "U2", "url": "https://www.ticketmaster.com/u2-tickets/artist/736365" } ], "price": { "type": "standard", "currency": "USD", "min": 78 }, "majorCategory": { "id": "KZFzniwnSyZfZ7v7na", "canonicalUrls": {}, "major": true } } }, ... ] ``` ### Related Actors - ๐ŸŽซ [Ticketmaster Event Scraper](https://apify.com/easyapi/ticketmaster-events-scraper) - Extract comprehensive event data from Ticketmaster search results - ๐ŸŽญ [Meetup Events Scraper](https://apify.com/easyapi/meetup-events-scraper) - Scrape Meetup events data with customizable search options and location filtering - ๐ŸŽฌ [Netflix Search Scraper](https://apify.com/easyapi/netflix-search-scraper) - Scrape Netflix titles data with detailed information about movies and TV shows - ๐ŸŽฎ [PlayStation Games Scraper](https://apify.com/easyapi/playstation-games-scraper) - Extract comprehensive game details from PlayStation Store - ๐ŸŽฅ [YouTube Live Stream Scraper](https://apify.com/easyapi/youtube-live-stream-scraper) - Scrape YouTube live streams and upcoming events with real-time statistics - ๐ŸŸ๏ธ [FanCode Live Sports Streams Scraper](https://apify.com/easyapi/fancode-live-sports-streams-scraper) - Extract live sports streaming data with real-time updates - ๐ŸŽฎ [Steam Store Search Scraper](https://apify.com/easyapi/steam-store-search-scraper) - Collect comprehensive game data from Steam store listings - ๐ŸŽฌ [TMDB TV Shows Scraper](https://apify.com/easyapi/tmdb-tv-shows-scraper) - Fetch trending TV shows and series details from TMDB - ๐ŸŽต [Spotify Playlists Scraper](https://apify.com/easyapi/spotify-playlists-scraper) - Extract comprehensive playlist data from Spotify - ๐Ÿ“… [Facebook Events Scraper](https://apify.com/easyapi/facebook-events-scraper) - Extract Facebook events data with detailed event information - ๐Ÿจ [Hotels.com Scraper](https://apify.com/easyapi/hotels-com-scraper) - Scrape detailed hotel listings with pricing and availability - ๐Ÿจ [Booking Search Scraper](https://apify.com/easyapi/booking-search-scraper) - Extract hotel information from Booking.com search results - ๐ŸŽฎ [GameSpot Search Scraper](https://apify.com/easyapi/gamespot-search-scraper) - Extract games, articles and reviews from GameSpot - ๐ŸŽฌ [Metacritic Search Scraper](https://apify.com/easyapi/metacritic-search-scraper) - Get detailed information about games, movies and TV shows - ๐ŸŽฅ [YouTube Trending Videos/Shorts Scraper](https://apify.com/easyapi/youtube-trending-videos-shorts-scraper) - Extract trending videos and shorts from YouTube # Actor input Schema ## `searchUrls` (type: `array`): List of Ticketmaster search URLs to scrape ## `maxItems` (type: `integer`): Maximum number of events to scrape (default: unlimited) ## `proxyConfiguration` (type: `object`): Proxy settings for the scraper ## Actor input object example ```json { "searchUrls": [ "https://www.ticketmaster.com/search?q=u2" ], "maxItems": 30, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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("easyapi/ticketmaster-events-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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("easyapi/ticketmaster-events-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call easyapi/ticketmaster-events-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=easyapi/ticketmaster-events-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Ticketmaster Events Scraper ๐ŸŽซ", "description": "A powerful scraper that extracts comprehensive event data from Ticketmaster search results, including event details, venues, dates, prices, and availability status. Perfect for event monitoring, market research, and competitive analysis. ๐ŸŽซ", "version": "0.0", "x-build-id": "oCIfCiZEmxEqB2qvC" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/easyapi~ticketmaster-events-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-easyapi-ticketmaster-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/easyapi~ticketmaster-events-scraper/runs": { "post": { "operationId": "runs-sync-easyapi-ticketmaster-events-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/easyapi~ticketmaster-events-scraper/run-sync": { "post": { "operationId": "run-sync-easyapi-ticketmaster-events-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "searchUrls" ], "properties": { "searchUrls": { "title": "Search URLs", "uniqueItems": true, "type": "array", "description": "List of Ticketmaster search URLs to scrape", "default": [ "https://www.ticketmaster.com/search?q=u2" ], "items": { "type": "string" } }, "maxItems": { "title": "Maximum Items", "minimum": 1, "type": "integer", "description": "Maximum number of events to scrape (default: unlimited)", "default": 30 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for the scraper", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```