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🎫 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.

📋 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

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

📦 Sample records

✨ Why choose this Actor

📈 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

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

🌟 Beyond business use cases

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

🤖 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 =newApifyClient({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

💡 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.