StubHub Explore Events Scraper: Extract Event Data at Scale

What Is StubHub?

StubHub is a leading secondary ticket marketplace for live events including sports, concerts, theater, and festivals. The platform's Explore section helps users discover events by location and date. Extracting this event data manually is inefficient — the StubHub Explore Events Scraper automates the collection, capturing structured event records with pricing, venue, and availability details.

---

Overview

The StubHub Explore Events Scraper extracts event listings from StubHub's Explore pages, transforming dynamic web content into clean, structured records. It is designed for:

• Event aggregators building multi-source event databases
• Price analysts tracking ticket availability and price trends
• Market researchers studying event demand by location and category
• Travel platforms integrating StubHub events into booking flows
• BI analysts benchmarking event supply and pricing across regions

Key strengths include pagination support for large result sets, configurable item limits, and robust error handling with ignore_url_failures.

---

Input Format

The scraper accepts a JSON configuration object with three primary parameters:

{
  "urls": [
    "https://www.stubhub.com/explore?lat=NDguODU3NTQ3NQ%3D%3D&lon=Mi4zNTEzNzY1&page=2"
  ],
  "ignore_url_failures": true,
  "max_items_per_url": 200
}

Parameter	Type	Description	Example
urls	Array	StubHub Explore page URLs. URLs can include filters (location, category, date) and pagination parameters.	https://www.stubhub.com/explore?lat=...&lon=...&page=2
ignore_url_failures	Boolean	If true, the scraper continues running even if some URLs fail. Useful for bulk scraping to prevent interruptions.	true or false
max_items_per_url	Integer	Maximum number of events to collect from each URL. Controls data volume and runtime.	20, 50, 200

Input requirements:

• URLs must be direct StubHub Explore links (with or without filters)
• Pagination parameters in the URL (e.g., page=2) are respected
• Encoded parameters (e.g., lat=...) are automatically decoded
• Empty or malformed URLs are skipped if ignore_url_failures: true

---

Output Format

Sample output

{
  "category_id": 181926,
  "image_url": "https://media.stubhubstatic.com/stubhub-v2-catalog/d_defaultLogo.jpg/q_auto:low,f_auto,c_fill,g_auto,w_280,h_170,dpr_2.0/categories/181926/6428408",
  "price_class": 3,
  "event_id": 161251180,
  "name": "Gracie Abrams",
  "url": "https://www.stubhub.com/gracie-abrams-paris-tickets-4-8-2027/event/161251180/",
  "day_of_week": "Thu",
  "formatted_time": "8:00 PM",
  "formatted_date_without_year": "Apr 08",
  "is_tbd": false,
  "is_date_confirmed": true,
  "is_time_confirmed": true,
  "event_state": 0,
  "venue_id": 1023,
  "venue_name": "Accor Arena (AccorHotels Arena)",
  "allow_public_purchase": true,
  "formatted_venue_location": "Paris, France",
  "has_active_listings": false,
  "is_favorite": false,
  "aggregate_favorites": 0,
  "is_parking_event": false,
  "is_refetched_global_event": false,
  "is_under_hundred": false,
  "from_url": "https://www.stubhub.com/explore?lat=NDguODU3NTQ3NQ%3D%3D&lon=Mi4zNTEzNzY1&page=1&method=getExploreEvents"
}

Each scraped event returns a detailed record with 21 fields covering identification, timing, location, and availability:

Event Identification & Metadata

Field	Meaning
Event ID	Unique StubHub identifier for the event
Name	Official event title (e.g., "Taylor Swift - The Eras Tour")
URL	Direct link to the event listing on StubHub
Category ID	Internal category code (sports, music, theater, etc.)
Image URL	Event poster or image URL for display

Date & Time Information

Field	Meaning
Day Of Week	Event day as text (e.g., "Friday", "Saturday")
Formatted Date Without Year	Short date format (e.g., "Dec 15")
Formatted Time	Time of event (e.g., "7:30 PM")
Is TBD	Boolean flag: true if date/time is "To Be Determined"
Is Date Confirmed	Boolean flag: true if the event date is confirmed
Is Time Confirmed	Boolean flag: true if the event time is confirmed

Venue Information

Field	Meaning
Venue ID	Unique identifier for the event venue
Venue Name	Venue name (e.g., "Madison Square Garden")
Formatted Venue Location	City/location of the venue (e.g., "New York, NY")

Pricing & Availability

Field	Meaning
Price Class	Ticket price tier or range (e.g., "Premium", "Standard", "Budget")
Has Active Listings	Boolean: true if tickets are currently available for sale
Is Under Hundred	Boolean: true if cheapest available ticket is under $100

Event Status & Features

Field	Meaning
Event State	Current state of the event (active, cancelled, postponed, completed)
Allow Public Purchase	Boolean: true if the event is open to public ticket purchases
Is Parking Event	Boolean: true if this is a parking/transportation event rather than entertainment
Is Refetched Global Event	Boolean: indicates if the event data was recently updated from StubHub's global database

User Interaction Data

Field	Meaning
Is Favorite	Boolean: true if the event is marked as favorite by the current session
Aggregate Favorites	Count of how many users have marked this event as a favorite

---

How to Use

1. Identify explore pages — Navigate to StubHub.com/explore and apply filters (location, date, category) to focus your search.
2. Extract URLs — Copy the filtered URL(s), including pagination parameters if you want multiple pages.
3. Configure the scraper — Paste URLs into the urls array. Set max_items_per_url (e.g., 20 for quick tests, 200 for bulk data).
4. Set error handling — Use ignore_url_failures: true for robust bulk runs.
5. Run and download — Start the scraper and export results as JSON, CSV, or Excel.

Tips & Best Practices:

• Use location-filtered URLs to collect events from specific cities or regions
• Adjust max_items_per_url based on your needs (higher values = more data but longer runtime)
• Set ignore_url_failures: true when scraping multiple pages to handle network issues gracefully
• Events marked Is TBD: true may have incomplete pricing or date data

Common issues:

• If a URL returns 0 events, verify it is an active Explore page with results
• StubHub may rate-limit rapid requests; consider spacing out runs if scraping many URLs

---

Use Cases & Business Value

• Event aggregation: Build a unified database of events from StubHub alongside other platforms
• Price intelligence: Track ticket availability, pricing tiers, and demand trends across events
• Market research: Analyze event distribution by location, category, and venue capacity
• Dynamic pricing analysis: Monitor how StubHub's Price Class and availability evolve over time
• Venue intelligence: Identify popular venues and their event calendars

The StubHub Explore Events Scraper delivers real-time event data that integrates seamlessly into analytics platforms, dashboards, and aggregator sites — eliminating manual data collection and enabling data-driven event insights.

---

Conclusion

The StubHub Explore Events Scraper is a powerful tool for anyone needing structured event data from one of the world's largest ticket marketplaces. With 21 detailed fields covering events, venues, pricing, and availability, it enables comprehensive event analysis and integration. Start scraping today and unlock event intelligence at scale.