SeatGeek Dataset
Comprehensive SeatGeek marketplace dataset containing millions of ticket transactions, Deal Score analytics, and venue performance metrics. Includes detailed event categorization, performer popularity rankings, and geographic demand patterns across all entertainment verticals.
Pre-processed data featuring SeatGeek's unique value scoring system, seat map analytics, and customer behavior insights. Perfect for building predictive models around ticket demand, venue optimization, and entertainment market forecasting.
Data Entities
Explore the different data entities available in this dataset. Each entity represents a distinct data type with its own schema and views.
7,320 records41 fieldsUpdated 1 day ago
SeatGeek event catalog with type, taxonomy, venue, performer IDs, pricing stats, and listing counts. Essential for event discovery, pricing analysis, and entertainment market research.
34,470,572 records16 fieldsUpdated 23 days ago
Individual ticket listings from SeatGeek with price, section, row, Deal Score, delivery type, and marketplace. Essential for pricing analysis, deal discovery, and resale research.
223 records18 fieldsUpdated 1 day ago
SeatGeek performers (teams, artists, acts) with type, taxonomy, division, and images. Join with events via performerIds for event-performer analysis.
Featured Views:
161 records16 fieldsUpdated 1 day ago
SeatGeek venue catalog with address, capacity, coordinates, and popularity. Join with events via venueId for event-venue analysis and geographic coverage.
SeatGeek Dataset Use Cases
Entertainment Venue Strategy
Optimize venue booking decisions using SeatGeek's comprehensive performance data and audience demographics. Analyze which types of events and performers generate the highest demand and revenue per venue capacity.
Deal Score Modeling
Reverse-engineer and improve upon SeatGeek's Deal Score algorithm for competitive ticket platforms. Build proprietary value assessment models using historical Deal Score performance and customer satisfaction data.
Tour Routing Optimization
Help artists and promoters plan tour routes using SeatGeek's market demand data and venue performance analytics. Identify optimal cities, venue sizes, and pricing strategies based on historical entertainment market performance.
Entertainment Investment Analysis
Support investment decisions in entertainment venues, promotion companies, and artist management using comprehensive market data. Analyze long-term trends in different entertainment categories and regional market growth potential.
Advanced SeatGeek Web Scraper Available Now!
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SeatGeek 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 SeatGeek 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 SeatGeek. Any trademarks are the property of their respective owners. This dataset is compiled from publicly available information; we do not request or collect SeatGeek user credentials. By using this dataset, you agree to comply with SeatGeek'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
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Frequently Asked Questions
SeatGeek's Deal Score is a proprietary algorithm rating ticket value from 0-100 based on price, seat location, and historical data. This dataset includes Deal Scores for listings, enabling you to analyze value across events and identify the best deals programmatically.
This dataset provides SeatGeek listing data with seat-specific pricing, section details, and venue mapping information. Analyze how pricing varies by seat location, compare sections within venues, and study the pricing premium for premium seating areas.
Use SeatGeek's aggregated marketplace data alongside other ticketing datasets to compare pricing across platforms. SeatGeek's Deal Score helps identify which platform offers the best value for specific events and seating areas.
Filter by sport, team, and venue to analyze ticket pricing patterns. Study how game significance, opponent, day of week, and season timing affect pricing across NFL, NBA, MLB, NHL, and college sports.
The dataset covers concerts across all genres with Deal Score ratings, seat-specific pricing, and venue details. Compare pricing across tour dates, analyze demand by genre, and study how venue size affects ticket values.
Deal Scores enable objective ticket value comparison across events and venues. Study which event types offer the best deals, analyze how Deal Scores correlate with actual ticket quality, and identify patterns in high-value listings.
Historical pricing data shows how ticket prices and Deal Scores change as events approach. Study the best purchase windows for different event types, analyze last-minute deal patterns, and optimize buying strategies.
The dataset includes venue specifications, seating configurations, and location details. Analyze venue-level pricing patterns, compare events across venues, and study how venue characteristics affect ticket demand and pricing.
The dataset is refreshed regularly to capture new listings, price changes, and Deal Score updates. Historical data enables trend analysis across seasons, touring cycles, and event pricing patterns.
Data is available in CSV, JSON, XLSX, Parquet, and NDJSON formats. Apply event type, venue, date, and price filters before export to get the specific ticketing data you need.
Researchers and analysts use the dataset to study pricing efficiency, consumer demand patterns, and marketplace dynamics. Analyze how Deal Scores reflect true value, study pricing trends across event categories, and build demand forecasting models.
Filter for comedy and theater events to study pricing patterns for stand-up shows, Broadway productions, and touring performances. Compare Deal Scores across show types and analyze how performer popularity affects ticket values.
The Event Listings entity includes section, row, seat numbers, quantity, and delivery type for each listing. Filter by price range, Deal Score, or marketplace to analyze inventory composition and listing quality.
The Events entity provides the full SeatGeek event catalog with type, taxonomy, venue and performer IDs, listing counts, and aggregate pricing. Use it for event discovery, calendar builds, and cross-referencing with listing-level data.
Events are the catalog of happenings (games, concerts, shows) with metadata and aggregate stats. Event Listings are individual ticket listings per event with price, section, Deal Score, and delivery method. Join them for full event-plus-inventory analysis.
Filter the Event Listings data by Deal Score (e.g., 8 or higher) or deal bucket, sort by price, and combine with event type or taxonomy to find high-value tickets in the segments you care about.
Data teams at resellers, price comparison tools, event promoters, venues, and market researchers use this data for pricing strategies, demand forecasting, inventory analysis, and competitive intelligence.
Event-level listing and ticket counts plus listing-level records show how inventory and pricing change. Use historical snapshots to study availability windows and price movements as events approach.
Events include Ticketmaster and StubHub cross-reference IDs when available. Use these fields to match the same event across platforms for arbitrage and multi-marketplace analysis.
Event Listings include delivery type (electronic, mobile app, shipped, etc.) and marketplace (exchange, open marketplace, fan-to-fan). Use distributions to understand fulfillment and seller composition.
