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.
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.
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Our datasets
Discover our comprehensive datasets for efficient web data collection. Our datasets are regularly updated, thoroughly validated for accuracy, and ready for immediate use in your applications. Each dataset comes with complete documentation and sample implementations to get you started quickly.
Rebrowser adheres to global data privacy standards including GDPR, CCPA, and other regional regulations. We implement privacy-by-design principles in our data collection processes, ensure proper anonymization where required, and maintain transparent documentation of data provenance and processing activities.
Yes. During checkout, you can specify your preferred data freshness requirements. We offer options ranging from historical data to near real-time updates depending on your specific use case and requirements.
Absolutely. We offer specialized datasets specifically optimized for LLM training and fine-tuning. These datasets feature diverse, high-quality content with appropriate metadata and context, making them ideal for improving model performance across various domains and reducing bias.
We support multiple data formats including JSON, CSV, XLSX, NDJSON, and Parquet. For delivery, we offer flexible options including Amazon S3, Google Cloud Storage, Azure Blob Storage, SFTP, direct API access, Webhook integration, Snowflake, email delivery, and custom solutions based on your infrastructure.
Absolutely. We understand that each project has unique requirements, which is why we offer extensive customization options. You can tailor datasets according to specific timeframes, geographic regions, data fields, or other parameters to ensure the data perfectly aligns with your project objectives.