StubHub Event Scraper

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.

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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.

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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.

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Input Parameters

Parameter	Type	Required	Default	Description
startUrl	String	Yes	—	StubHub explore URL to scrape.
results_wanted	Integer	No	20	Maximum number of event records to collect.
max_pages	Integer	No	3	Maximum number of pages to process.
proxyConfiguration	Object	No	{"useApifyProxy": false}	Proxy settings for improved reliability.

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Output Data

Each dataset item contains:

Field	Type	Description
record_type	String	Record type label (event).
event_id	String	StubHub event identifier.
title	String	Event title.
url	String	Event page URL.
day_of_week	String	Day abbreviation for the event.
date_text	String	Formatted event date text.
time_text	String	Formatted event time text.
venue	String	Venue name.
venue_location	String	Venue city/state/location text.
category_id	Number	Category identifier.
image_url	String	Event image URL when available.
price_class	Number	Price class value when available.
is_tbd	Boolean	Indicates if date/time is to be determined.
is_date_confirmed	Boolean	Indicates if date is confirmed.
is_time_confirmed	Boolean	Indicates if time is confirmed.
has_active_listings	Boolean	Indicates whether active listings are available.
is_favorite	Boolean	Indicates user favorite state when present.
aggregate_favorites	Number	Favorite count value when available.
is_parking_event	Boolean	Indicates whether event is parking-related.
event_state	Number	Event state code from source.
venue_id	Number	Venue identifier.
source	String	Source label.
source_url	String	Input explore URL used for scraping.
location_coordinate	String	Coordinate context from page metadata.
inferred_country	String	Country context inferred by source.
inferred_currency	String	Currency context inferred by source.
explore_page_size	Number	Page size metadata from source.
scraped_at	String	ISO timestamp of extraction.

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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"]
  }
}

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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"
}

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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.

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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.

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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.

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Support

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

Resources

• Apify Documentation
• Apify API Reference
• Apify Schedules

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Legal Notice

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