Comprehensive historical and current event data from Ticketmaster's platform covering millions of concerts, sports games, and entertainment shows. Access structured datasets with pricing trends, venue information, and attendance patterns across North America and beyond.
Leverage years of ticketing data to uncover market insights, seasonal trends, and consumer behavior patterns. Our dataset includes detailed event metadata, pricing histories, and venue analytics for advanced business intelligence.
Pre-processed and enriched Ticketmaster data ready for immediate analysis and integration. Ideal for machine learning models, market research, and competitive intelligence in the live entertainment industry.
Analyze touring revenues and venue performance to inform investment decisions. Track artist earning potential and venue profitability across different markets.
Demand Forecasting for Artists
Predict ticket demand for upcoming tours based on historical performance data. Optimize tour routing and venue selection to maximize revenue.
Dynamic Pricing Strategy Development
Study pricing patterns across similar events to develop optimal pricing models. Identify price elasticity factors and peak demand periods for different event types.
Tourism and Economic Impact Studies
Measure the economic impact of major events on local economies. Correlate event schedules with hotel bookings and restaurant traffic for urban planning.
Ticketmaster Dataset New Entries
The graph below contains real data based on our scraping operations. Latest update was 15 days ago.
Advanced Ticketmaster Web Scraper Available Now!
Get real-time Ticketmaster data with custom processing to perfectly fit your data pipelines.
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 Ticketmaster. Any trademarks are the property of their respective owners. This dataset is compiled from publicly available information; we do not request or collect Ticketmaster user credentials.
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.
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.
Our datasets undergo a comprehensive quality assurance process to guarantee accuracy, completeness, and relevance. We implement rigorous validation protocols and continuously update our datasets to ensure you always have access to the most current and reliable information available.
Yes, we offer custom dataset creation services. Our team can work with you to define requirements, identify appropriate data sources, and develop entirely new datasets tailored to your specific business needs. Contact our solutions team to discuss your custom data requirements.
Rebrowser Datasets stand out through our combination of comprehensive coverage, exceptional data quality, flexible customization options, and responsive support. Our proprietary collection methods ensure we capture data others miss, while our advanced processing delivers cleaner, more usable datasets than competitors.
Archive data is immediately available and typically spans from the past few days to several months, making it ideal for historical analysis. Freshly collected data is gathered specifically for your request, ensuring you receive the most current information available for time-sensitive applications.