StubHub Dataset
Access comprehensive StubHub marketplace data spanning millions of ticket listings across sports, concerts, theater, and entertainment events. Our dataset includes historical pricing trends, venue performance metrics, and seller behavior patterns.
Analyze market dynamics with pre-processed data covering event popularity, regional demand variations, and seasonal pricing patterns. Perfect for market research, competitive analysis, and building predictive pricing models for the secondary ticket market.
Data Entities
Explore the different data entities available in this dataset. Each entity represents a distinct data type with its own schema and views.
145,598,698 records24 fieldsUpdated 1 day ago
Per-event ticket listings from StubHub with price, section, delivery type, deal score, and face value. Join with events for event details and venues for location.
9,872 records20 fieldsUpdated 1 day ago
StubHub event catalog with start time, venue, pricing, availability, and listing counts. Join with eventListings for ticket-level data and venues for location.
230 records7 fieldsUpdated 1 day ago
StubHub venue catalog with name, city, country, and timezone. Join with events for event-level data.
23,913,666 records32 fieldsUpdated 1 day ago
Daily StubHub resale price history per event and section: one row per event, section and UTC day with listing counts, all-in price quartiles, and day-over-day listing changes, built from the last complete crawl of each day.
StubHub Dataset Use Cases
Predictive Pricing Models
Build machine learning models to predict optimal ticket pricing based on historical data patterns. Use venue performance, artist popularity, and seasonal trends to forecast demand and price movements.
Market Entry Strategy
Analyze regional market opportunities for new ticket reselling businesses or venues. Identify underserved markets, popular event types, and optimal pricing strategies based on historical performance data.
Venue Performance Analytics
Help venue operators understand their market position and optimize booking strategies. Compare performance against similar venues and identify factors that drive higher ticket prices and demand.
Investment Due Diligence
Support investment decisions in entertainment and sports properties with comprehensive market data. Analyze long-term trends, market size, and growth potential across different event categories and regions.
Advanced StubHub Web Scraper Available Now!
Get currently observed StubHub data with custom processing to fit your data pipelines.
Ongoing updates from StubHub, subject to source availability
Custom data processing to fit your specific pipelines
Scalable infrastructure that bypasses anti-bot measures
Datasets Available
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Records Processed
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StubHub Dataset Benefits
Traditional data acquisition methods can be time-consuming, expensive, and often result in incomplete datasets.
Companies waste valuable resources and development time creating and maintaining their own data collection systems.
Rebrowser's ready-to-use StubHub dataset provides instant access to clean, structured data without any infrastructure headaches.
Contact Us →Immediate Availability
Access ready-to-use data instantly instead of waiting weeks or months to build your own data collection pipeline.
Structured & Clean Data
All datasets are thoroughly processed, normalized, and validated to ensure high-quality, consistent information.
Zero Maintenance
We handle all updates and data freshness, allowing you to focus on using the data rather than collecting it.
Cost Efficiency
Save thousands in development and infrastructure costs by leveraging our pre-built dataset instead of creating your own.
Disclaimer: Rebrowser is an independent data provider and is not affiliated with, endorsed by, or sponsored by StubHub. Any trademarks are the property of their respective owners. This dataset is compiled from publicly available information; we do not request or collect StubHub user credentials. By using this dataset, you agree to comply with StubHub's Terms of Service and all applicable laws and regulations. Images, logos, descriptions, and other materials included in this dataset remain the intellectual property of their respective owners and are provided solely for informational purposes. Rebrowser makes no warranties regarding the accuracy, completeness, or legality of the data and assumes no liability for how the data is used. You are solely responsible for ensuring that your use of this dataset, including any images or copyrighted materials, does not infringe on the rights of any third party.
Free Samples
We publish daily data exports of StubHub to popular platforms for developers and data scientists.
Explore free samples, prototype with real data, or integrate directly into your workflows — no account required.
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Frequently Asked Questions
This dataset provides comprehensive StubHub resale marketplace data including ticket prices, event details, venue information, and seller data. Filter by event type, venue, date, and price range to access secondary market ticket intelligence.
The dataset captures ticket pricing changes as events approach. Analyze how resale prices evolve from listing to event day, identify pricing patterns by event type, and study the relationship between primary and secondary market pricing. The Daily Price History entity adds one row per event, section and day with listing counts and price quartiles, so price curves need no listing-level processing.
Use StubHub resale pricing alongside primary market datasets to analyze the markup structure in secondary ticket markets. Study which events command the highest premiums, when prices drop below face value, and what drives resale pricing dynamics.
Event records include venue details, seating sections, row information, and seat-specific pricing. Analyze how seat location affects resale pricing, study premium seating markups, and compare pricing across venue sections.
Historical pricing data reveals optimal purchase timing for different event types. Study how prices change in the days and hours before events, identify patterns for last-minute deals, and analyze when premium events tend to drop in price.
Yes — the dataset includes seller information enabling analysis of resale market participants. Study seller concentration, analyze professional vs individual seller pricing strategies, and track inventory levels across seller types.
Filter by sport and team to analyze resale pricing patterns. Study how team performance, home vs away games, rivalry matchups, and playoff positioning affect secondary market ticket values.
The dataset covers concerts across all genres with resale pricing, venue details, and availability. Analyze artist demand, compare pricing across tour dates, and study how factors like venue size and market affect resale values.
The dataset is refreshed regularly to capture new listings, price changes, and inventory movements. Historical data enables trend analysis across seasons and event cycles.
Data is available in CSV, JSON, XLSX, Parquet, and NDJSON formats. Apply event, venue, and pricing filters before export to get the specific secondary market data you need.
Industry researchers use the dataset to study resale market dynamics, consumer willingness to pay for live events, and the impact of ticket distribution strategies on secondary market pricing. Analyze market size, pricing efficiency, and demand patterns.
Filter for theater events to study resale pricing for Broadway shows and touring productions. Analyze how show popularity, review scores, and run duration affect secondary market pricing and demand.
