A massive data set that includes secondary ticket market listings.
Access comprehensive event ticket listing data with pricing and availability information. Track inventory levels, price changes, and market dynamics across thousands of events. Perfect for pricing optimization, inventory management, market analysis, and training AI/ML models for dynamic pricing and inventory forecasting.
The event ticket listings dataset includes both current listing snapshots and historical change tracking. Both datasets are included with your purchase.
Current state of all ticket listings with inventory details
| Field Name | Type | Description |
|---|---|---|
| listing_id | Integer | Unique identifier for the listing |
| event_id | Integer | Unique identifier for the event |
| active | Integer | Current status (1 = active, 0 = inactive) |
| price | Float | Current price per ticket in USD |
| starting_qty | Integer | Initial quantity when first observed |
| ending_qty | Integer | Current quantity available |
| section | String | Venue section identifier |
| row | String | Row identifier within section |
| zone | String | Venue zone or price category |
| created_at | DateTime | First observation timestamp (ISO 8601) |
| updated_at | DateTime | Last modification timestamp (ISO 8601) |
Historical record of all changes to listings including price updates, quantity changes, and status transitions
| Field Name | Type | Description |
|---|---|---|
| timestamp | DateTime | When the change occurred (ISO 8601) |
| event_id | Integer | Event identifier for the listing |
| listing_id | Integer | Listing identifier |
| change_type | String | Type of change (price_change, deact_sold, new_listing, quantity_change, etc.) |
| field_changed | String | Specific field that was modified |
| old_value | String | Previous value before the change |
| new_value | String | New value after the change |
Common Change Types: price_change, deact_sold, new_listing, found_listing_previously_deactivated, section_change, zone_change, quantity_change, row_change
Transform ticket listing data into powerful market intelligence and revenue optimization tools
Access real-time inventory data to inform buying decisions and optimize listing prices across multiple platforms
Monitor secondary market activity to understand true demand and adjust primary market pricing strategies
Integrate comprehensive ticket listing data to power market insights dashboards and trend analysis tools
Analyze ticket market dynamics for alternative data signals and entertainment industry investment insights
Predict event-driven demand surges using ticket listing volumes to optimize hotel and travel pricing
Study market dynamics, consumer behavior, and pricing theory using comprehensive secondary market data
Listing dataset orders are processed and delivered within 72 hours.
Add a separate subscription service for daily incremental updates including new listings and field-level changes to existing inventory.
Separate subscription for daily listing updates and changes
See exactly what changed with before/after values
Updates delivered via email or S3 on your schedule
Choose the plan that works best for your needs