Ticketmaster Events & Tickets Scraper
Pricing
Pay per event
Ticketmaster Events & Tickets Scraper
Extract event data from Ticketmaster including concerts, sports, theater, and family events. Get event details, venue info, pricing, dates, images, and availability. Supports search by query, category, location, and date range. Perfect for event monitoring, price tracking, and venue analysis.
Pricing
Pay per event
Rating
5.0
(1)
Developer

ParseForge
Actor stats
0
Bookmarked
2
Total users
1
Monthly active users
3 days ago
Last modified
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Ticketmaster Events Scraper
Automate event data collection from Ticketmaster.com with comprehensive event details, venue information, pricing, performers, and availability.
The Ticketmaster Events Scraper extracts detailed information about concerts, sports events, theater performances, and family events from Ticketmaster.com. It supports both direct URL scraping and search-based filtering, making it easy to collect event data for market research, competitive analysis, or personal use.
Target Audience: Event organizers, market researchers, ticket resellers, and event enthusiasts
Primary Use Cases: Market research, competitive analysis, event discovery, venue analysis, pricing intelligence
What Does Ticketmaster Scraper Do?
This tool collects comprehensive event data from Ticketmaster.com, supporting both direct URL scraping and search-based filtering. It delivers:
- Event details including name, ID, URL, and description
- Date and time information including start date, end date, timezone, and presale dates
- Venue information including name, address, city, state, country, and geographic coordinates
- Pricing information including minimum and maximum ticket prices
- Event categorization including category, genre, and segment
- Performer and artist information with links to artist pages
- Organizer information and contact details
- Ticket availability and event status indicators
- Event images and galleries
- Related events and recommendations
Business Value: Get comprehensive event data for market analysis, pricing intelligence, venue research, and competitive monitoring.
Input
To start Ticketmaster web scraping, simply fill in the input form. You can scrape Ticketmaster based on:
- startUrls - Direct URLs to event pages, category pages, search results, or venue pages. You can get these by navigating to Ticketmaster.com, applying your desired filters, and copying the URL from your browser's address bar.
- maxItems - Maximum number of events to scrape. Free users are limited to 100 events. Paid users can scrape up to 1,000,000 events or leave empty for unlimited.
Search Filters (Alternative to startUrls):
- searchQuery - Search term for events (e.g., artist name, team name, event name)
- category - Event category: concerts, sports, arts-theater, or family
- city - Filter events by city name
- state - Filter events by state code (e.g., NY, CA, TX)
- country - Filter events by country code (e.g., US, CA, GB)
- dateFrom - Start date for event search (YYYY-MM-DD format)
- dateTo - End date for event search (YYYY-MM-DD format)
Advanced Options:
- includeDetails - When enabled, fetches each event's detail page to get additional information like pricing, full descriptions, and more images. This is slower but provides more complete data. Default: false
- proxyConfiguration - Proxy settings for scraping. Default uses Apify residential proxies. Required for detail page fetching.
Important: You must choose EITHER startUrls OR search filters, not both.
Here's what the input configuration looks like in JSON:
{"startUrls": ["https://www.ticketmaster.com/discover/concerts"],"maxItems": 10}
Or using search filters:
{"searchQuery": "new york","category": "concerts","city": "New York","state": "NY","maxItems": 10,"proxyConfiguration": {"useApifyProxy": true,"apifyProxyGroups": ["RESIDENTIAL"]}}
With detail fetching enabled for complete data:
{"searchQuery": "new york","maxItems": 10,"includeDetails": true,"proxyConfiguration": {"useApifyProxy": true,"apifyProxyGroups": ["RESIDENTIAL"]}}
Output
After the Actor finishes its run, you'll get a dataset with the output. The length of the dataset depends on the amount of results you've set. You can download those results as an Excel, HTML, XML, JSON, and CSV document.
Here's an example of scraped Ticketmaster data you'll get:
{"eventId": "0800630BA0CD16E8","discoveryId": "vv17OZbYGkmOSohI","name": "Detroit Pistons vs. New York Knicks","url": "https://www.ticketmaster.com/detroit-pistons-vs-new-york-knicks-detroit-michigan-02-06-2026/event/0800630BA0CD16E8","imageUrl": "https://s1.ticketm.net/dbimages/23263v.jpg","images": ["https://s1.ticketm.net/dbimages/23263v.jpg"],"date": "2026-02-07T00:30:00Z","startDate": "2026-02-07T00:30:00Z","endDate": null,"onsaleDate": "2025-08-14T19:30:00Z","presaleDates": [],"timezone": "America/New_York","dateDisplay": "showDateTime","spanMultipleDays": false,"venue": "Little Caesars Arena","venueId": null,"venueUrl": "https://www.ticketmaster.com/little-caesars-arena-tickets-detroit/venue/66238","venueAddress": "2645 Woodward","venueImageUrl": "https://s1.ticketm.net/dbimages/23263v.jpg","venuePostalCode": "48201","city": "Detroit","state": "MI","country": "US","countryName": "United States","latitude": 42.341089,"longitude": -83.055434,"priceMin": null,"priceMax": null,"currency": "USD","category": null,"categoryId": "KZFzniwnSyZfZ7v7nE","eventType": null,"genre": null,"subGenre": null,"segment": null,"description": null,"info": null,"pleaseNote": null,"performers": "Detroit Pistons, New York Knicks","artists": [{"name": "Detroit Pistons","url": "https://www.ticketmaster.com/detroit-pistons-tickets/artist/805937"},{"name": "New York Knicks","url": "https://www.ticketmaster.com/new-york-knicks-tickets/artist/805988"}],"organizer": "Detroit Pistons","organizerUrl": "https://www.ticketmaster.com/detroit-pistons-tickets/artist/805937","ticketAvailability": "UNKNOWN","ticketingStatus": "UNKNOWN","eventStatus": "scheduled","eventChangeStatus": "none","soldOut": false,"cancelled": false,"postponed": false,"rescheduled": false,"limitedAvailability": false,"tba": false,"isVirtual": false,"isPartner": false,"isLocal": true,"isSameRegion": false,"relatedEvents": [],"scrapedAt": "2026-01-16T16:07:45.040Z"}
What You Get: Complete event information including dates, venues, geographic coordinates, performers with URLs, presale dates, availability status, and more. Enable includeDetails: true to also get pricing and full descriptions.
Note on Pricing: Ticketmaster does not include pricing information in their search results - this is intentional on their part. To get
priceMinandpriceMax, you must enableincludeDetails: truewhich fetches each event's detail page. This requires working proxies (RESIDENTIAL recommended).
Download Options: CSV, Excel, or JSON formats for easy analysis and integration with your tools.
Why Choose the Ticketmaster Scraper?
- Comprehensive Data: Extract all available event details including pricing, venue information, performers, and availability
- Flexible Input: Use direct URLs or search filters to find exactly what you need
- Real-Time Data: Get the most up-to-date event information directly from Ticketmaster
- Reliable Extraction: Uses advanced data collection methods to ensure maximum data coverage and accuracy
- Detail Page Enrichment: Optionally visits event detail pages to enrich missing data when includeDetails is enabled
- Scalable: Process up to 1,000,000 events for paid users
- Reliable: Built with robust error handling and retry logic
Time Savings: Automate event data collection that would take hours manually
Efficiency: Collect comprehensive event data in minutes instead of days
How to Use
- Sign Up: Create a free account w/ $5 credit (takes 2 minutes)
- Find the Scraper: Visit the Ticketmaster Events Scraper page
- Set Input: Add your startUrls or search filters (we'll show you exactly what to enter)
- Run It: Click "Start" and let it collect your data
- Download Data: Get your results in the "Dataset" tab as CSV, Excel, or JSON
Total Time: Less than 5 minutes from signup to results
No Technical Skills Required: Everything is point-and-click
Business Use Cases
Event Organizers:
- Monitor competitor events and pricing
- Analyze market trends and demand
- Research venue availability and pricing
- Track performer lineups and artist popularity
Market Researchers:
- Collect comprehensive event data for analysis
- Track pricing trends across different markets
- Analyze event categories and popularity
- Study performer and artist trends
Ticket Resellers:
- Monitor event listings and pricing
- Track availability and demand
- Identify high-value events
- Analyze performer-driven demand
Data Analysts:
- Build comprehensive event databases
- Create regular market reports
- Support business decisions with data
- Analyze event and performer trends
Using Ticketmaster Scraper with the Apify API
For advanced users who want to automate this process, you can control the scraper programmatically with the Apify API. This allows you to schedule regular data collection and integrate with your existing business tools.
- Node.js: Install the apify-client NPM package
- Python: Use the apify-client PyPI package
- See the Apify API reference for full details
Frequently Asked Questions
Q: How does it work? A: Ticketmaster Scraper is easy to use and requires no technical knowledge. Simply configure your search parameters or provide direct URLs and let the tool collect the data automatically.
Q: How accurate is the data? A: Data is extracted directly from Ticketmaster.com in real-time, ensuring accuracy and up-to-date information. The scraper also visits event detail pages when includeDetails is enabled to enrich missing data.
Q: Can I schedule regular runs? A: Yes, you can use the Apify API to schedule regular runs and automate your data collection workflow.
Q: What if I need help? A: Our support team is here to help you get the most out of this tool.
Q: Is my data secure? A: Yes, all data processing happens securely on Apify's platform, and your data is private to your account.
Q: Does it extract performer and artist information? A: Yes. The scraper extracts performer and artist names from event data, along with links to artist pages, which is especially useful for concerts and music events.
Q: Why are priceMin and priceMax null in my results?
A: Ticketmaster does not include pricing information in their search results. To get pricing data, enable includeDetails: true in your input configuration. This will fetch each event's detail page where pricing information is available.
Integrate Ticketmaster Scraper with any app and automate your workflow
Last but not least, Ticketmaster Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform.
These includes:
Alternatively, you can use webhooks to carry out an action whenever Ticketmaster Scraper successfully finishes a run.
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Pro Tip: Browse our complete collection of data collection actors to find the perfect tool for your business needs.
Need Help? Our support team is here to help you get the most out of this tool.
Disclaimer: This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Ticketmaster or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.