🎫 Ticketmaster Event Scraper: Concert, Sports & Theater Events Extractor

Enterprise-grade event scraper that automatically extracts live events from Ticketmaster Discovery API — concerts, sports games, theater shows, and more. Clean, structured data ready for event discovery platforms, ticketing systems, or AI training.

High-quality Event Data Scraper for Ticketing Platforms, Event Aggregators, and Developers

Automatically collects events from Ticketmaster by location, category, and date range — concerts, sports, theater, and arts events. Clean, structured JSON output ready for integration or analysis.

Built for:

• Event discovery platforms and aggregators
• Ticketing systems and booking services
• Travel and entertainment apps
• AI/ML engineers building event recommendation models
• Event organizers and venue managers
• Marketing teams tracking local events

✅ Official Ticketmaster Discovery API — No scraping, no blocks, reliable data
✅ Smart filtering by location, category, and date range
✅ Rich event metadata (name, date, venue, price range, images, URLs)
✅ Automatic pagination with configurable limits
✅ Rate limiting built-in (respects API limits: 5 req/sec, 5000/day)
✅ Clean structured output — ready for databases or APIs
✅ AI-ready datasets — perfect for event recommendation systems

👉 Runs on Apify • No code required • Pay only for compute used

🚀 Why This Scraper

✔ Official API Integration
Uses Ticketmaster's official Discovery API v2 — no web scraping, no anti-bot measures, 100% reliable data access.

✔ Comprehensive Event Data
Extracts complete event information: name, date/time, venue details, price ranges, images, and direct purchase URLs.

✔ Smart Filtering & Search
Filter by location (city/region), category (music, sports, theater), and optional date ranges for precise results.

✔ Efficient Pagination
Automatic pagination with configurable page limits. Supports up to 1000 events per query (API limit) with intelligent page management.

✔ Production-Ready
Built with TypeScript, explicit types, error handling, and rate limiting. Follows Apify best practices for reliability.

✔ Fast & Reliable
Direct API calls — no HTML parsing, no browser overhead. Fast response times and consistent data structure.

✔ Safe & Controlled
Built-in rate limiting (4 requests/second, safe margin from API limit of 5/sec). Automatic retry logic and error handling.

💼 Use Cases

• Event discovery platforms — aggregate events from Ticketmaster
• Travel apps — show local events to travelers
• Ticketing systems — sync events for booking platforms
• Event recommendation engines — training data for ML models
• Marketing automation — track events for promotional campaigns
• Venue management — monitor competitor events
• Research & analytics — event trend analysis

📊 Supported Event Types

• Music & Concerts — Live music events, concerts, festivals
• Sports — Professional and amateur sports events
• Theater & Arts — Theater shows, arts performances, cultural events

⚙️ How It Works

1. Provide your Ticketmaster API key (get free at developer.ticketmaster.com)
2. Set location, category, and optional filters
3. Run the Actor
4. Download clean, structured event datasets

🧩 Input Configuration

Example JSON Input

{
  "apiKey": "YOUR_TICKETMASTER_API_KEY",
  "location": "New York",
  "category": "music",
  "startDate": "2025-12-01",
  "endDate": "2026-01-31",
  "maxPages": 5,
  "pageSize": 20
}

Key Options

• apiKey — Your Ticketmaster Discovery API key (required)
  Get it free at: https://developer.ticketmaster.com/

• location — City or region to search (required)
  Examples: "New York", "London", "Los Angeles", "Chicago"

• category — Event category (required)
  Options: "music", "sports", "theater"

• startDate — Optional start date filter (format: YYYY-MM-DD)
  Example: "2025-12-01"

• endDate — Optional end date filter (format: YYYY-MM-DD)
  Example: "2026-01-31"

• maxPages — Maximum pages to fetch (default: 5, max: 20)
  API supports up to 1000 items total (size × page < 1000)

• pageSize — Events per page (default: 20, max: 200)
  Recommended: 20-50 for optimal performance

📂 Output Dataset

Single dataset with all event records, structured and ready for use.

Example Output Record

{
  "name": "Taylor Swift | The Eras Tour",
  "date": "2025-12-20T20:00:00Z",
  "venue": "Madison Square Garden, New York, NY, US",
  "priceRange": "USD 150 - USD 500",
  "url": "https://www.ticketmaster.com/taylor-swift-new-york-new-york-12-20-2025/event/0000632F8EED107C",
  "image": "https://s1.ticketm.net/dam/a/3a7/9ac81990-3bca-42bb-8473-47dfb2f493a7_RETINA_PORTRAIT_16_9.jpg"
}

Output Fields

• name — Event name/title
• date — Event date and time (ISO 8601 format)
• venue — Venue name with full location (city, state, country)
• priceRange — Price range when available (format: "USD min - USD max")
• url — Direct link to event page on Ticketmaster
• image — Event image URL (high-quality, 16:9 ratio preferred)

🏁 Getting Started

1. Get API Key
   Sign up at developer.ticketmaster.com and create an app to get your free API key.

2. Configure Input
   Set your API key, location, and category.

3. Run the Actor
   Click "Run" in Apify Console or use apify run locally.

4. Download Results
   Export your dataset as JSON, CSV, or access via Apify API.

📊 API Limits & Quotas

• Daily quota: 5,000 API calls per day
• Rate limit: 5 requests per second (scraper uses 4/sec for safety)
• Deep paging: Up to 1,000 items (size × page < 1000)
• Free tier: Sufficient for most use cases

🔧 Technical Details

• Built with: TypeScript, Apify SDK, Ticketmaster Discovery API v2
• Base image: apify/actor-node:22 (lightweight, no browser)
• Data source: Official Ticketmaster Discovery API
• Output format: JSON (structured event data)

📧 Support

• Email: kidaxxb@gmail.com
• Issues: Use Apify Issues tab in the Actor page
• API Docs: Ticketmaster Discovery API v2

Tags: ticketmaster, events, concerts, sports, theater, ticketing, event-discovery, live-events, entertainment, api-integration, event-aggregator, ticket-booking

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