# Ticketmaster Events Search Scraper (`soft_alexist/ticketmaster-events-search-scraper`) Actor Scrape Ticketmaster event search results with precision. Collect event titles, IDs, dates, venues, availability status, artist details, and 22+ fields per listing — ideal for event aggregators, researchers, and ticket analytics platforms. - **URL**: https://apify.com/soft\_alexist/ticketmaster-events-search-scraper.md - **Developed by:** [Soft Alexist](https://apify.com/soft_alexist) (community) - **Categories:** Automation, Developer tools, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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: Search & Extract Event Data Instantly --- ### What Is Ticketmaster? Ticketmaster is the world's leading entertainment ticketing platform, hosting millions of events across concerts, sports, theater, and family entertainment. With events updated constantly and search results spanning thousands of listings, manually collecting event data is impractical. The **Ticketmaster Events Scraper** automates this workflow, extracting structured event information directly from search result pages. --- ### Overview The **Ticketmaster Events Search Scraper** extracts comprehensive event data from Ticketmaster search result pages, converting unstructured web content into clean, queryable records. It is designed for: - **Event aggregators** building multi-source event databases - **Data analysts** tracking ticket availability and pricing trends - **Researchers** studying entertainment market dynamics - **BI teams** feeding real-time event data into dashboards Key strengths include configurable item limits per search URL, flexible date range filtering, automatic handling of failed requests, and capture of 22+ event attributes including availability status and venue information. --- ### Input Format The scraper accepts a JSON configuration object with search-based URLs: ```json { "urls": [ "https://www.ticketmaster.com/search?sort=date&startDate=2026-06-09&endDate=2026-06-12" ], "ignore_url_failures": true, "max_items_per_url": 200 } ```` | Field | Type | Description | |---|---|---| | `urls` | array | Ticketmaster search result page URLs with optional filters (date range, genre, location, sort order) | | `max_items_per_url` | integer | Maximum events to extract per URL (e.g., `200`). Default: `20` | | `ignore_url_failures` | boolean | If `true`, continues execution if URLs fail; if `false`, stops at first error | **URL examples:** - Basic search: `https://www.ticketmaster.com/search?sort=date` - Date range: `https://www.ticketmaster.com/search?sort=date&startDate=2026-06-09&endDate=2026-06-12` - Keyword: `https://www.ticketmaster.com/search?q=taylor+swift&sort=date` > **Tip:** Use precise date ranges and keywords to reduce result volume and scrape time. *** ### Output Format **Sample output** ```json { "title": "BLUE FRIDAY SPECIAL! Entry to All Shows at the Blue Moon for 2026!", "id": "14720223", "discovery_id": "rZ7HnEZ1AfjOFN", "dates": { "date_display": "showDateTime", "start_date": "2026-01-01T18:00:00Z", "end_date": "2026-12-31T18:00:00Z", "onsale_date": "2025-11-25T14:30:00Z", "span_multiple_days": false }, "url": "https://www.ticketweb.com/event/blue-friday-special-entry-to-blue-moon-saloon-tickets/14720223", "partner_event": true, "is_partner": true, "show_tm_button": false, "venue": { "city": "Lafayette", "name": "Blue Moon Saloon", "country": "US", "country_code": "US", "country_name": "United States", "state": "LA", "url": "https://www.ticketweb.com/venue/blue-moon-saloon-lafayette-la/431575", "image_url": "https://statics.tmconst.com/onsale-img/tmimages/TM_GenCatImgs_Generic.jpg", "latitude": 30.220444, "longitude": -92.016281, "address_line_one": "215 E Convent St", "code": "70501" }, "time_zone": "America/Chicago", "cancelled": false, "postponed": false, "rescheduled": false, "tba": false, "local": true, "same_region": false, "sold_out": false, "limited_availability": false, "event_change_status": "none", "virtual": false, "artists": null, "major_category": { "id": "KZFzniwnSyZfZ7v7nJ", "canonical_urls": {}, "major": true }, "from_url": "https://www.ticketmaster.com/search?sort=date&startDate=2026-06-09&endDate=2026-06-12" } ``` Each scraped event returns a structured record with 22 fields: #### Event Identification | Field | Meaning | |---|---| | `ID` | Unique Ticketmaster event identifier | | `Discovery ID` | Alternative discovery API identifier | | `Title` | Event name as displayed in search results | | `URL` | Direct link to the event detail page | | `Major Category` | Primary event category (e.g., Music, Sports, Theater) | #### Date & Time Information | Field | Meaning | |---|---| | `Dates` | Event date(s) and time(s) in ISO format | | `Time Zone` | Local time zone of the event venue | #### Venue & Location | Field | Meaning | |---|---| | `Venue` | Venue name and location details | | `Local` | Boolean indicating if event is in user's local region | | `Same Region` | Boolean indicating if event is in the same region as search origin | #### Event Status Flags | Field | Meaning | |---|---| | `Cancelled` | Whether the event has been cancelled | | `Postponed` | Whether the event has been postponed | | `Rescheduled` | Whether the event has been rescheduled to a new date | | `TBA` | Whether date/time is "To Be Announced" | | `Event Change Status` | Summary of any status changes (cancelled, postponed, rescheduled) | #### Availability & Ticketing | Field | Meaning | |---|---| | `Sold Out` | Whether all tickets have been sold | | `Limited Availability` | Whether only a few tickets remain | | `Virtual` | Whether the event is virtual/online or in-person | | `Show TM Button` | Whether Ticketmaster "Get Tickets" button displays | #### Event Details | Field | Meaning | |---|---| | `Artists` | Array of performer/artist names | | `Partner Event` | Human-readable partner event indicator | | `Is Partner` | Boolean indicating if event is listed by a partner | *** ### How to Use 1. **Build a search URL** — Visit Ticketmaster.com/search and refine by date, keyword, or category. Copy the full URL from the address bar. 2. **Prepare the input** — Paste your Ticketmaster search URL(s) into the `urls` array. Set `max_items_per_url` to control output volume (recommended: 50–200 for balanced speed/completeness). 3. **Configure error handling** — Set `ignore_url_failures: true` if running multiple URLs to prevent one failed request from stopping the entire run. 4. **Run the scraper** — Start the actor and monitor execution. Large `max_items_per_url` values may take longer due to pagination. 5. **Download results** — Export data as JSON, CSV, or Excel for further analysis or integration. **Best practices:** - Use date range filters to narrow results (reduces scrape time significantly) - Set a reasonable `max_items_per_url` to avoid unnecessary overhead - Test with a single URL before running bulk operations - Monitor the `Sold Out` and `Limited Availability` flags for real-time ticket dynamics *** ### Use Cases & Business Value - **Event aggregators:** Build comprehensive multi-source event listings combining Ticketmaster with other platforms - **Market intelligence:** Track event supply, cancellations, and rescheduling patterns by region or category - **Availability monitoring:** Alert users when tickets become available for tracked artists or venues - **Pricing analysis:** Combine event data with external pricing sources to study demand trends - **Travel planning:** Aggregate events with hotel and flight data for event-tourism packages The Ticketmaster Events Scraper transforms raw search results into analytics-ready datasets, enabling data-driven decision-making across ticketing, marketing, and business intelligence teams. *** ### Conclusion The **Ticketmaster Events Search Scraper** is the fastest way to extract structured event data from Ticketmaster at scale. Whether you're building an aggregator, monitoring availability, or conducting market research, this tool eliminates manual data collection and delivers clean, actionable records. Start scraping today and unlock insights from millions of live events. # Actor input Schema ## `urls` (type: `array`): Add the URLs of the events search urls you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list. ## `ignore_url_failures` (type: `boolean`): If true, the scraper will continue running even if some URLs fail to be scraped. ## `max_items_per_url` (type: `integer`): The maximum number of items to scrape per URL. ## Actor input object example ```json { "urls": [ "https://www.ticketmaster.com/search?sort=date&startDate=2026-06-09&endDate=2026-06-12" ], "ignore_url_failures": true, "max_items_per_url": 20 } ``` # 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 = { "urls": [ "https://www.ticketmaster.com/search?sort=date&startDate=2026-06-09&endDate=2026-06-12" ], "ignore_url_failures": true, "max_items_per_url": 20 }; // Run the Actor and wait for it to finish const run = await client.actor("soft_alexist/ticketmaster-events-search-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 = { "urls": ["https://www.ticketmaster.com/search?sort=date&startDate=2026-06-09&endDate=2026-06-12"], "ignore_url_failures": True, "max_items_per_url": 20, } # Run the Actor and wait for it to finish run = client.actor("soft_alexist/ticketmaster-events-search-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 '{ "urls": [ "https://www.ticketmaster.com/search?sort=date&startDate=2026-06-09&endDate=2026-06-12" ], "ignore_url_failures": true, "max_items_per_url": 20 }' | apify call soft_alexist/ticketmaster-events-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=soft_alexist/ticketmaster-events-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Ticketmaster Events Search Scraper", "description": "Scrape Ticketmaster event search results with precision. Collect event titles, IDs, dates, venues, availability status, artist details, and 22+ fields per listing — ideal for event aggregators, researchers, and ticket analytics platforms.", "version": "0.0", "x-build-id": "7ahAxohzTibDG9vgU" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/soft_alexist~ticketmaster-events-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-soft_alexist-ticketmaster-events-search-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/soft_alexist~ticketmaster-events-search-scraper/runs": { "post": { "operationId": "runs-sync-soft_alexist-ticketmaster-events-search-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/soft_alexist~ticketmaster-events-search-scraper/run-sync": { "post": { "operationId": "run-sync-soft_alexist-ticketmaster-events-search-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": { "urls": { "title": "URLs of the events search urls to scrape", "type": "array", "description": "Add the URLs of the events search urls you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list.", "items": { "type": "string" } }, "ignore_url_failures": { "title": "Continue running even if some URLs fail to be scraped", "type": "boolean", "description": "If true, the scraper will continue running even if some URLs fail to be scraped." }, "max_items_per_url": { "title": "Max items per URL", "type": "integer", "description": "The maximum number of items to scrape per URL." } } }, "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 } } } } } } } } } } ```