# Ticketmaster Events Scraper — Tour Dates & Venues (No API Key) (`jamhimself/ticketmaster-events-scraper`) Actor Scrape Ticketmaster concert listings, tour dates & live events — no API key or login. Get event titles, on-sale times, venues with coordinates, sold-out status & lineups. Bulk, pay per result. - **URL**: https://apify.com/jamhimself/ticketmaster-events-scraper.md - **Developed by:** [Jaime Martinez](https://apify.com/jamhimself) (community) - **Categories:** Travel, Agents, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $4.00 / 1,000 events 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 ## Ticketmaster Events Scraper — Concerts, Tour Dates & Venues (No API Key) Scrape Ticketmaster event listings into clean, structured data — no API key, no login. This Ticketmaster scraper pulls public concert listings, tour dates, sports and live events: event titles, on-sale times, venue names with GPS coordinates, sold-out status, and artist lineups. Search by artist, team, venue, or event and get bulk results as JSON or CSV, pay per result. Built for developers, data analysts, and AI pipelines that need reliable live events data without maintaining a scraper or an event data API. Runs on Chrome TLS impersonation with residential US proxies and automatic session rotation to clear anti-bot walls, so you don't manage proxies or logins. ### What you get | Field | Description | |---|---| | `title` / `eventId` / `url` | Event identity | | `startDate` / `onsaleDate` / `dateDisplay` | Event date and ticket on-sale date | | `venueName` / `venueCity` / `venueState` / `venueCountry` | Venue | | `venueAddress` / `venuePostalCode` / `latitude` / `longitude` | Venue location | | `majorCategory` / `artists` | Category and lineup | | `soldOut` / `limitedAvailability` / `ticketingStatus` | Availability | | `cancelled` / `postponed` / `rescheduled` / `virtual` | Event status | > Note: this actor returns public **event metadata** (what's on sale, where, and when). Seat-level ticket prices are behind Ticketmaster's gated Availability API and are not included. ### Use cases - Track concert listings and tour dates for an artist or venue - Monitor on-sale times and sold-out status across upcoming events - Build a live events dataset with venue coordinates for mapping - Feed structured event data into an LLM or RAG pipeline - Market research on live entertainment supply by city or category - Populate an events calendar or aggregator without an event data API ### Input - **searchQuery** — an artist, team, venue, or event, e.g. `taylor swift`, `lakers`, `hamilton` - **startUrls** — (optional) paste Ticketmaster search URLs directly; overridden by `searchQuery` if both are set - **maxResults** — how many events to return, default `60` (paginates automatically, ~20 per page) ### Pricing Pay per event delivered. No subscription. *A quick review on the Apify Store really helps other builders find it.* # Actor input Schema ## `searchQuery` (type: `string`): What to search Ticketmaster for — an artist, team, venue, or event, e.g. "taylor swift", "lakers", "hamilton". ## `startUrls` (type: `array`): Alternatively, paste Ticketmaster search URLs directly. Overridden by searchQuery if both are set. ## `maxResults` (type: `integer`): Maximum number of events to return (paginates automatically, ~20 per page). ## Actor input object example ```json { "searchQuery": "taylor swift", "maxResults": 60 } ```` # Actor output Schema ## `events` (type: `string`): One row per event. # 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 = { "searchQuery": "taylor swift" }; // Run the Actor and wait for it to finish const run = await client.actor("jamhimself/ticketmaster-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 = { "searchQuery": "taylor swift" } # Run the Actor and wait for it to finish run = client.actor("jamhimself/ticketmaster-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 '{ "searchQuery": "taylor swift" }' | apify call jamhimself/ticketmaster-events-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jamhimself/ticketmaster-events-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Ticketmaster Events Scraper — Tour Dates & Venues (No API Key)", "description": "Scrape Ticketmaster concert listings, tour dates & live events — no API key or login. Get event titles, on-sale times, venues with coordinates, sold-out status & lineups. Bulk, pay per result.", "version": "1.0", "x-build-id": "EjuFvnlmD0cGOawPQ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jamhimself~ticketmaster-events-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jamhimself-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jamhimself~ticketmaster-events-scraper/runs": { "post": { "operationId": "runs-sync-jamhimself-ticketmaster-events-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jamhimself~ticketmaster-events-scraper/run-sync": { "post": { "operationId": "run-sync-jamhimself-ticketmaster-events-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "searchQuery": { "title": "Search query", "type": "string", "description": "What to search Ticketmaster for — an artist, team, venue, or event, e.g. \"taylor swift\", \"lakers\", \"hamilton\"." }, "startUrls": { "title": "Ticketmaster search URLs (optional)", "type": "array", "description": "Alternatively, paste Ticketmaster search URLs directly. Overridden by searchQuery if both are set.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of events to return (paginates automatically, ~20 per page).", "default": 60 } } }, "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 } } } } } } } } } } ```