StubHub Event Scraper

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Extract StubHub event data from explore pages using a single input URL. Collect event names, IDs, dates, venues, and links in a structured dataset for monitoring, reporting, and analysis. Built for reliable recurring runs with clean output.

Features

• URL-based extraction — Start from one StubHub explore URL.
• Structured event records — Collect event IDs, titles, dates, times, and venue details.
• Pagination support — Continue across multiple pages of results.
• Deduplicated output — Prevent duplicate events in the dataset.
• Production-friendly defaults — Ready for QA runs and scheduled automation.

Use Cases

Event Monitoring

Track upcoming events for a target location and keep datasets updated over time.

Market Research

Analyze event patterns, categories, and venue activity for business insights.

Reporting Workflows

Feed event data into dashboards, spreadsheets, or BI pipelines.

Data Archiving

Build historical snapshots of discoverable events for trend analysis.

Input Parameters

Output Data

Each dataset item contains:

Usage Examples

Basic Run

{
"startUrl":"https://www.stubhub.com/explore?lat=NDAuNzEyOA%3D%3D&lon=LTc0LjAwNg%3D%3D"
}

Controlled Volume

{
"startUrl":"https://www.stubhub.com/explore?lat=NDAuNzEyOA%3D%3D&lon=LTc0LjAwNg%3D%3D",
"results_wanted":50,
"max_pages":3
}

Reliable Production Run

{
"startUrl":"https://www.stubhub.com/explore?lat=NDAuNzEyOA%3D%3D&lon=LTc0LjAwNg%3D%3D",
"results_wanted":100,
"max_pages":5,
"proxyConfiguration":{
"useApifyProxy":true,
"apifyProxyGroups":["RESIDENTIAL"]
}
}

Sample Output

{
"record_type":"event",
"event_id":"160511834",
"title":"Rufus Du Sol",
"url":"https://www.stubhub.com/rufus-du-sol-new-york-tickets-6-25-2026/event/160511834/",
"day_of_week":"Thu",
"date_text":"Jun 25",
"time_text":"7:30 PM",
"venue":"Madison Square Garden",
"venue_location":"New York, NY, USA",
"category_id":50474,
"image_url":"https://media.stubhubstatic.com/stubhub-v2-catalog/example.jpg",
"price_class":3,
"is_tbd":false,
"is_date_confirmed":false,
"is_time_confirmed":false,
"has_active_listings":true,
"is_favorite":false,
"aggregate_favorites":0,
"is_parking_event":false,
"event_state":0,
"venue_id":3708,
"source":"stubhub_events",
"source_url":"https://www.stubhub.com/explore?lat=NDAuNzEyOA%3D%3D&lon=LTc0LjAwNg%3D%3D",
"location_coordinate":"74.359,31.558",
"inferred_country":"US",
"inferred_currency":"USD",
"explore_page_size":48,
"scraped_at":"2026-02-25T10:30:00.000Z"
}

Tips for Best Results

Use Valid Explore URLs

• Provide a complete explore URL including location parameters.
• Test with a known active location before large runs.

Start Small, Then Scale

• Begin with default settings for quick validation.
• Increase results_wanted and max_pages gradually.

Use Proxies for Stability

• Enable proxies for high-volume or frequent runs.
• Residential proxies are recommended for reliability.

Integrations

• Google Sheets — Export and analyze event datasets.
• Airtable — Build searchable event databases.
• Make — Automate downstream workflows.
• Zapier — Trigger actions from fresh datasets.
• Webhooks — Send data to custom systems.

Export Formats

• JSON — API and developer workflows.
• CSV — Spreadsheet and BI workflows.
• Excel — Business reporting.
• XML — System interoperability.

Frequently Asked Questions

What input is required?

Only startUrl is required.

Can I limit the amount of data collected?

Yes. Use results_wanted and max_pages.

Does it support recurring runs?

Yes. It is suitable for scheduled production runs.

What happens if no events are found?

The run completes successfully and returns an empty dataset.

Can I use this in automation pipelines?

Yes. Dataset output is ready for API-based integrations.

Support

For issues or feature requests, use the Apify Console issue/support channels.

Resources

• Apify Documentation
• Apify API Reference
• Apify Schedules

Legal Notice

This actor is intended for legitimate data collection and analysis. You are responsible for compliance with applicable laws and platform terms.