🎫 Ticketmaster Events Scraper

🚀 Collect event data from Ticketmaster in seconds. Filter by search query, category, city, state, country, or date range. No coding, no API keys required.

🕒 Last updated: 2026-04-16 · 📊 50+ fields · 🔄 Runs on Apify cloud or locally · 📁 Export: JSON, CSV, Excel

The Ticketmaster Events Scraper extracts detailed event listings from Ticketmaster.com, covering concerts, sports, theater, and family events. Each event record includes 50+ structured fields with venue details, ticket price ranges, artist information, dates, on-sale windows, and availability status. Whether you need a quick snapshot of upcoming shows in your city or a full database of thousands of events across the country, this tool handles it automatically.

Built for event analytics teams, ticket resellers monitoring price trends, marketing agencies tracking concert tours, sports analysts following game schedules, and anyone who needs structured Ticketmaster data without writing code. The scraper supports direct URL input, keyword search, and multi-filter combinations. Optional detail-page fetching gives you full descriptions, additional images, and complete pricing breakdowns for every event.

Target Audience	Use Cases
Event Analytics Teams	Market research, trend analysis
Ticket Resellers	Price monitoring, inventory tracking
Marketing Agencies	Concert tour tracking, sponsorship research
Sports Analysts	Game schedule aggregation, venue analysis
Music Industry	Artist booking intelligence, tour mapping
Travel & Hospitality	Event-based demand forecasting

---

📋 What the Ticketmaster Events Scraper does

• 📅 Extracts event dates and schedules including start times, end times, on-sale dates, and presale windows for complete timeline tracking
• 💰 Captures ticket price ranges with minimum and maximum prices, currency, and availability status for market analysis
• 🎪 Collects venue details including name, address, postal code, GPS coordinates, and venue images for location-based research
• 🎤 Gathers artist and performer information with names, organizer details, and profile URLs for talent tracking
• 📍 Pulls location data with city, state, country codes, and latitude/longitude for geographic filtering and event mapping
• 🖼️ Downloads event images in multiple resolutions for media kits, dashboards, and reporting

The scraper processes Ticketmaster search results and optionally visits each event detail page for additional data. Pagination is handled automatically. You can combine search keywords with filters for city, state, country, category, and date ranges to target exactly the events you need.

💡 Why it matters: Ticketmaster lists millions of events across dozens of countries. Manually tracking prices, availability, and schedules is impractical. This scraper delivers clean, structured data for any event category in minutes.

---

🎬 Full Demo

🚧 Coming soon...

---

⚙️ Input

Field	Type	Required	Description
maxItems	integer	No	Maximum events to collect. Free users: limited to 10. Paid users: up to 1,000,000.
startUrls	array	No	Direct Ticketmaster URLs (event pages, category pages, or search results).
searchQuery	string	No	Artist, team, or event keyword to search for.
category	string	No	Event type: concerts, sports, arts-theater, or family.
city	string	No	Filter by city name (e.g., New York, Los Angeles).
state	string	No	Filter by state code (e.g., NY, CA, TX).
country	string	No	Filter by country code (e.g., US, CA, GB).
dateFrom	string	No	Start date in YYYY-MM-DD format.
dateTo	string	No	End date in YYYY-MM-DD format.
includeDetails	boolean	No	Fetch detail pages for full pricing and descriptions. Default: false.
proxyConfiguration	object	No	Proxy settings. Residential proxies recommended for detail pages.

Example 1: Search for concerts in a city

{
  "searchQuery": "Taylor Swift",
  "category": "concerts",
  "city": "New York",
  "maxItems": 50,
  "includeDetails": true
}

Example 2: Sports events by date range

{
  "category": "sports",
  "state": "CA",
  "dateFrom": "2026-05-01",
  "dateTo": "2026-06-30",
  "maxItems": 200
}

⚠️ Good to Know: Use either startUrls or search filters (searchQuery, category, city, etc.), not both. Enabling includeDetails provides full pricing and descriptions but increases run time. Free users are automatically limited to 10 items.

---

📊 Output

🧾 Schema

Emoji	Field	Type	Description
🖼️	imageUrl	string	Primary event image URL
📝	title	string	Event name
🔗	url	string	Ticketmaster event page URL
🆔	eventId	string	Unique Ticketmaster event ID
📅	startDate	string	Event start date and time
📅	endDate	string	Event end date and time
🎫	onSaleDate	string	Ticket on-sale start date
💰	priceMin	number	Minimum ticket price
💰	priceMax	number	Maximum ticket price
💱	currency	string	Price currency code
📊	status	string	Event status (onsale, offsale, cancelled)
🎪	venueName	string	Venue name
📍	venueAddress	string	Venue street address
🏙️	city	string	City name
🗺️	state	string	State or province
🌍	country	string	Country code
📮	postalCode	string	Venue postal code
🌐	latitude	number	Venue latitude
🌐	longitude	number	Venue longitude
🎤	performers	array	List of performers/artists
🏷️	category	string	Event category
📋	description	string	Full event description
🖼️	images	array	All event images
❌	error	string	Error message if extraction failed

📦 Sample records

---

✨ Why choose this Actor

Feature	Details
📊 50+ data fields	Event details, venue info, prices, performers, images, and more
🔍 Multi-filter search	Combine keywords, category, city, state, country, and date range
💰 Price tracking	Minimum and maximum ticket prices with currency
📍 GPS coordinates	Latitude and longitude for venue mapping
🎤 Performer data	Artist names, organizer info, and profile links
📁 Flexible export	JSON, CSV, or Excel output
🔄 Detail page mode	Optional deep fetch for full descriptions and pricing

📈 Typical performance: Collects 200+ events per minute in search-only mode. Detail page mode adds 2-3 seconds per event for complete data.

---

📈 How it compares to alternatives

Feature	This Actor	Manual Browsing	Generic Scrapers
50+ structured fields per event	✅	❌	Partial
Multi-filter search (city, state, date)	✅	✅ (slow)	❌
Venue GPS coordinates	✅	❌	❌
Price range extraction	✅	✅ (manual)	Partial
Scales to 1M+ events	✅	❌	❌
No coding required	✅	N/A	❌
Export to CSV/JSON/Excel	✅	❌	Partial

Purpose-built for Ticketmaster event data, with every field mapped and every pagination pattern handled.

---

🚀 How to use

1. Create a free Apify account - Sign up here (includes free credits)
2. Open the Ticketmaster Events Scraper - Navigate to the Actor page and click "Start"
3. Set your search criteria - Enter a search query, select a category, or paste Ticketmaster URLs
4. Apply filters - Narrow by city, state, country, or date range as needed
5. Run and download - Click "Start", wait for results, then export as JSON, CSV, or Excel

⏱️ First results appear in under 15 seconds. A typical search-only run of 200 events completes in about 1 minute.

---

💼 Business use cases

Market Research & Analytics Track ticket pricing trends over time Analyze event density by city and region Monitor sold-out rates across categories Benchmark venue utilization patterns	Ticket Resale & Commerce Monitor on-sale dates for popular events Track price ranges across similar events Identify underpriced inventory opportunities Build automated alert systems for new listings
Marketing & Sponsorship Map artist tour routes for brand partnerships Analyze audience geography by event type Track competitor event sponsorship activity Build targeted ad campaigns around events	Travel & Hospitality Forecast hotel demand near event venues Plan restaurant promotions around concerts Offer curated event packages for guests Analyze seasonal event patterns by city

---

---

🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🎓 Research and academia Empirical datasets for papers, thesis work, and coursework Longitudinal studies tracking changes across snapshots Reproducible research with cited, versioned data pulls Classroom exercises on data analysis and ethical scraping	🎨 Personal and creative Side projects, portfolio demos, and indie app launches Data visualizations, dashboards, and infographics Content research for bloggers, YouTubers, and podcasters Hobbyist collections and personal trackers
🤝 Non-profit and civic Transparency reporting and accountability projects Advocacy campaigns backed by public-interest data Community-run databases for local issues Investigative journalism on public records	🧪 Experimentation Prototype AI and machine-learning pipelines with real data Validate product-market hypotheses before engineering spend Train small domain-specific models on niche corpora Test dashboard concepts with live input

🤖 Ask an AI assistant about this scraper

Open a ready-to-send prompt about this ParseForge actor in the AI of your choice:

• 💬 ChatGPT
• 🧠 Claude
• 🔍 Perplexity
• 🅒 Copilot

❓ Frequently Asked Questions

---

🔌 Automating Ticketmaster Events Scraper

Node.js

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });
const run = await client.actor("parseforge/ticketmaster-scraper").call({
  searchQuery: "concerts",
  city: "Los Angeles",
  maxItems: 100
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python

from apify_client import ApifyClient
client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("parseforge/ticketmaster-scraper").call(run_input={
    "searchQuery": "concerts",
    "city": "Los Angeles",
    "maxItems": 100
})
items = list(client.dataset(run["defaultDatasetId"]).iterate_items())
print(items)

• 📖 Apify API Reference
• 🐍 Python API Client docs
• 🟢 Node.js API Client docs

Schedules: Set up recurring runs with Apify Schedules to track event pricing weekly, monitor new concert announcements daily, or build a historical database of event data.

🔌 Integrate with any app

• 🔗 Make (Integromat) - Connect Ticketmaster data to 1,000+ apps with visual workflows
• 🔗 Zapier - Trigger notifications or database updates when new events are found
• 🔗 Slack - Get alerts in Slack channels when events matching your criteria appear
• 🔗 Airbyte - Sync event data to your data warehouse for historical analysis
• 🔗 GitHub - Automate data pipelines with GitHub Actions
• 🔗 Google Drive - Export event listings directly to Google Sheets

---

🔗 Recommended Actors

Actor	Description
🎫 StubHub Scraper	Collect ticket listings and resale prices from StubHub
🎟️ Eventbrite Scraper	Extract event data from Eventbrite including registration and ticket info
🏈 DraftKings Scraper	Scrape sports odds and betting lines from DraftKings
🎮 Instant Gaming Scraper	Collect video game deals and pricing data
📰 PR Newswire Scraper	Extract press releases and news announcements

💡 Pro Tip: Combine the Ticketmaster Scraper with the StubHub Scraper to compare primary and resale ticket prices for the same events.

---

🆘 Need Help? Open our contact form and we will get back to you within 24 hours. For bug reports, feature requests, or integration help, we are here to assist.

---

Disclaimer: This Actor is provided as-is, without warranty. It is not affiliated with or endorsed by Ticketmaster or Live Nation Entertainment. Use it responsibly and in compliance with applicable terms of service. The authors are not responsible for how the collected data is used. Always verify data accuracy for critical applications.