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Daily update 2026-03-03

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- ---
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- license: cc-by-4.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+
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+ ---
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+ language:
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+ - en
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+ license: cc-by-nc-4.0
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+ pretty_name: "SeatGeek Events & Ticket Listings Dataset"
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+ tags:
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+ - open-data
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+ - data-science
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+ - web-scraping
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+ - scraper
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+ - crawler
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+ - data-collection
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+ - tickets
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+ - seatgeek
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+ - events
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+ - concerts
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+ - sports
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+ - ticket-prices
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+ - deal-score
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+ size_categories:
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+ - 10M<n<100M
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+ task_categories:
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+ - other
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+ configs:
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+ - config_name: events
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+ data_files:
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+ - path: "events/data/*.parquet"
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+ split: train
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+ - config_name: event-listings
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+ data_files:
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+ - path: "event-listings/data/*.parquet"
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+ split: train
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+ - config_name: performers
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+ data_files:
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+ - path: "performers/data.parquet"
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+ split: train
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+ - config_name: venues
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+ data_files:
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+ - path: "venues/data.parquet"
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+ split: train
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+ ---
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+
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+ # SeatGeek Events & Ticket Listings Dataset
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+
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+ Daily sample of SeatGeek events, ticket listings, performers, and venues with Deal Score ratings, section-level seating, delivery types, and cross-platform IDs.
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+
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+
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+ This dataset is a preview sample of the [SeatGeek dataset](https://rebrowser.net/products/datasets/seatgeek) published by Rebrowser. If you're doing academic research, you may be eligible for free access to a much larger slice — see [Free Datasets for Research](https://rebrowser.net/free-datasets-for-research).
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+
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+
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+ This dataset contains **4** entities, each in its own folder: Events (`events`), Event Listings (`event-listings`), Performers (`performers`), Venues (`venues`). See below for a full field breakdown, sample counts, and data distributions for each.
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+
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+ *Found this useful? ❤️ Like this dataset on HuggingFace to help us keep publishing fresh data. Found an error? [Let us know](https://rebrowser.net/contact-us).*
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+
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+
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+ ---
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+
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+ ### Events
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+ Daily sample of SeatGeek events with type, taxonomy, venue and performer IDs, schedule status, cross-platform IDs, and seat map availability.
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+
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+
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+
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+
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+ > **7,320** total records from 2025-10-05 to 2026-03-01, **up to 30,000** rows in this sample (409.8% of full dataset).
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+ > Exported as one file per day, up to 1,000 rows each, last undefined days retained.
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+
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+
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+ ![Record Growth](events/chart-growth.svg)
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+
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+ | Field | Type | Fill Rate | Description |
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+ | --- | --- | --- | --- |
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+ | `_primaryKey` | `string` | 100% | Unique identifier for this record |
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+ | `_firstSeenAt` | `datetime` | 100% | First time this record was seen |
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+ | `_lastSeenAt` | `datetime` | 100% | Last time this record was updated |
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+ | `eventId` | `float` | 100% | Unique event ID (e.g., 17601982) |
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+ | `name` | `string` | 100% | Full event name/title (e.g., NLDS: Chicago Cubs at Milwaukee Brewers) |
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+ | `shortName` | `string` | 100% | Short event name (e.g., NLDS: Cubs at Brewers) |
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+ | `type` | `string` | 100% | Event type (mlb, nba, nhl, nfl, stadium_tours, etc.) |
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+ | `datetimeUtc` | `datetime` | 100% | Event UTC datetime |
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+ | `endDatetimeUtc` | `datetime` | 97% | Event end datetime (UTC) |
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+ | `dateTbd` | `bool` | 100% | Event date is TBD (to be determined) |
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+ | `timeTbd` | `bool` | 100% | Event time is TBD |
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+ | `datetimeTbd` | `bool` | 100% | Event datetime is TBD |
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+ | `status` | `string` | 100% | Event status (normal, postponed, cancelled) |
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+ | `scheduleStatus` | `string` | 100% | Schedule status (as_originally_scheduled, rescheduled) |
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+ | `conditional` | `bool` | 100% | Event is conditional (e.g., playoff games) |
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+ | `contingent` | `bool` | 100% | Event is contingent on other events |
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+ | `isOpen` | `bool` | 100% | Event is open for ticket sales |
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+ | `isVisible` | `bool` | 100% | Event is visible on site |
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+ | `isHybrid` | `bool` | 100% | Event is a hybrid event |
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+ | `eventScore` 🔒 | `float` | 100% | Event score/rank (0-1 scale) |
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+ | `popularityScore` 🔒 | `float` | 100% | Event popularity score (0-1 scale) |
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+ | `url` | `string` | 100% | Full SeatGeek URL for the event |
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+ | `createdAt` | `datetime` | 100% | Event creation timestamp |
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+ | `announceDate` | `datetime` | 100% | Event announcement date |
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+ | `visibleAt` | `datetime` | 100% | When event became visible |
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+ | `visibleUntilUtc` | `datetime` | 100% | When event stops being visible (UTC) |
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+ | `listingCount` 🔒 | `float` | 100% | Number of active ticket listings |
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+ | `ticketCount` 🔒 | `float` | 100% | Total tickets available across listings |
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+ | `averagePrice` 🔒 | `float` | 100% | Average ticket price in dollars |
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+ | `lowestPrice` 🔒 | `float` | 100% | Lowest ticket price in dollars |
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+ | `highestPrice` 🔒 | `float` | 100% | Highest ticket price in dollars |
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+ | `medianPrice` 🔒 | `float` | 100% | Median ticket price in dollars |
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+ | `lowestSgBasePrice` 🔒 | `float` | 100% | Lowest SeatGeek base price in dollars |
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+ | `venueId` | `float` | 100% | Venue ID (join with seatgeek_venues) |
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+ | `performerIds` | `array` | 100% | Performer IDs (join with seatgeek_performers) |
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+ | `taxonomyName` | `string` | 100% | Top-level category (sports, concerts, theater) |
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+ | `taxonomySubName` | `string` | 100% | Sub-category (baseball, basketball, hockey, football) |
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+ | `ticketmasterId` | `string` | 42% | Ticketmaster event ID (for cross-platform matching) |
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+ | `stubhubId` | `string` | 61% | StubHub event ID (for cross-platform matching) |
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+ | `integratedProvider` | `string` | 62% | Integrated ticket provider (OPEN, TICKETMASTER, TDC) |
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+ | `integratedProviderId` | `string` | 62% | Provider-specific event ID |
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+ | `isMapped` | `bool` | 100% | Venue has seat map available |
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+ | `isGa` | `bool` | 100% | Event is general admission |
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+ | `seatSelectionEnabled` | `bool` | 100% | Seat selection is enabled |
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+
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+
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+
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+ > 🔒 **Premium fields** are included in the data files but their values are replaced with `[PREMIUM]`. To access real values, [use our website](https://rebrowser.net/products/datasets/seatgeek).
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+
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+
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+
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+ #### Field Distributions
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+
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+
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+ <details>
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+ <summary><strong>Event Type Distribution</strong> (<code>type</code>)</summary>
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+
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+
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+ | Value | Count | Share |
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+ | --- | --- | --- |
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+ | mlb | 2,978 | `████████░░░░░░░░░░░░` 40.7% |
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+ | nhl | 1,414 | `████░░░░░░░░░░░░░░░░` 19.3% |
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+ | nba | 1,377 | `████░░░░░░░░░░░░░░░░` 18.8% |
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+ | stadium_tours | 1,195 | `███░░░░░░░░░░░░░░░░░` 16.3% |
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+ | nfl | 353 | `█░░░░░░░░░░░░░░░░░░░` 4.8% |
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+ | baseball | 3 | `░░░░░░░░░░░░░░░░░░░░` 0.0% |
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+
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+ </details>
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+
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+
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+ <details>
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+ <summary><strong>Top-Level Event Category</strong> (<code>taxonomyName</code>)</summary>
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+
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+
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+ | Value | Count | Share |
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+ | --- | --- | --- |
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+ | sports | 7,320 | `████████████████████` 100.0% |
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+
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+ </details>
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+
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+
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+ <details>
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+ <summary><strong>Event Status</strong> (<code>status</code>)</summary>
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+
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+
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+ | Value | Count | Share |
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+ | --- | --- | --- |
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+ | normal | 7,320 | `████████████████████` 100.0% |
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+
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+ </details>
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+
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+
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+
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+
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+
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+ ---
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+
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+ ### Event Listings
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+ Daily sample of SeatGeek ticket listings with section, row, quantity, delivery type, marketplace, and deal bucket per event.
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+
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+
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+
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+
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+ > **34,470,572** total records from 2025-10-05 to 2026-02-08, **up to 30,000** rows in this sample (0.09% of full dataset).
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+ > Exported as one file per day, up to 1,000 rows each, last undefined days retained.
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+
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+
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+ ![Record Growth](event-listings/chart-growth.svg)
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+
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+ | Field | Type | Fill Rate | Description |
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+ | --- | --- | --- | --- |
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+ | `_primaryKey` | `string` | 100% | Unique identifier for this record |
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+ | `_firstSeenAt` | `datetime` | 100% | First time this record was seen |
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+ | `_lastSeenAt` | `datetime` | 100% | Last time this record was updated |
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+ | `listingId` | `string` | 100% | Unique listing ID (e.g., qVjH2vAdbzA, 05VT8679aVX) |
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+ | `eventId` | `string` | 100% | Event ID this listing belongs to (join with seatgeek_events) |
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+ | `price` 🔒 | `float` | 100% | Ticket price in dollars before fees |
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+ | `priceWithFees` 🔒 | `float` | 100% | Total ticket price in dollars with fees |
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+ | `fee` 🔒 | `float` | 100% | Fee amount in dollars |
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+ | `section` | `string` | 100% | Section name/number (e.g., 101, 506WC, C129) |
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+ | `sectionFull` | `string` | 100% | Full section name including tier/level (e.g., Section 101, Club 129, Section 506 WC) |
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+ | `row` | `string` | 100% | Row within section - can be numeric (1-50+) or letter (a-z, w, h) |
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+ | `quantity` | `float` | 100% | Number of tickets available in this listing, typically 1-20 |
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+ | `seats` | `array` | 27% | Specific seat numbers if assigned, empty array if GA/unassigned |
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+ | `inHandDate` | `datetime` | 99% | Date when tickets will be in hand for delivery |
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+ | `deliveryType` | `string` | 100% | Ticket delivery method: electronic, sg_app, shipped, local |
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+ | `marketplace` | `string` | 100% | Ticket marketplace/seller: exchange, open_marketplace, marketplace, open, fan_to_fan |
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+ | `dealBucket` | `float` | 100% | Deal quality bucket: 0=Amazing, 1=Great, 2=Good, 3=Okay, 4-6=Price tiers, 7=Other |
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+ | `dealScore` 🔒 | `float` | 99% | Deal quality score 0-10, higher=better value |
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+ | `splitType` | `string` | 100% | How tickets can be split - comma-separated quantities (e.g., "2", "1,2,4") |
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+
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+
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+
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+ > 🔒 **Premium fields** are included in the data files but their values are replaced with `[PREMIUM]`. To access real values, [use our website](https://rebrowser.net/products/datasets/seatgeek).
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+
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+
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+
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+ #### Field Distributions
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+
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+
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+ <details>
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+ <summary><strong>Listing Marketplace</strong> (<code>marketplace</code>)</summary>
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+
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+
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+ | Value | Count | Share |
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+ | --- | --- | --- |
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+ | exchange | 33,994,549 | `████████████████████` 98.6% |
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+ | open | 250,123 | `░░░░░░░░░░░░░░░░░░░░` 0.7% |
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+ | open_marketplace | 119,940 | `░░░░░░░░░░░░░░░░░░░░` 0.3% |
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+ | marketplace | 94,878 | `░░░░░░░░░░░░░░░░░░░░` 0.3% |
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+ | fan_to_fan | 11,082 | `░░░░░░░░░░░░░░░░░░░░` 0.0% |
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+
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+ </details>
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+
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+
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+ <details>
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+ <summary><strong>Delivery Type</strong> (<code>deliveryType</code>)</summary>
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+
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+
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+ | Value | Count | Share |
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+ | --- | --- | --- |
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+ | electronic | 30,184,253 | `██████████████████░░` 87.6% |
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+ | sg_app | 4,275,809 | `██░░░░░░░░░░░░░░░░░░` 12.4% |
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+ | shipped | 10,279 | `░░░░░░░░░░░░░░░░░░░░` 0.0% |
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+ | local | 231 | `░░░░░░░░░░░░░░░░░░░░` 0.0% |
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+
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+ </details>
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+
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+
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+
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+
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+
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+ ---
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+
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+ ### Performers
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+ SeatGeek performers including teams, artists, and acts with type, taxonomy, division, popularity score, and home venue.
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+
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+
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+
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+
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+ > **223** total records from 2025-10-05 to 2026-03-01, **10** rows in this sample (4.5% of full dataset).
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+ > Exported as a single file, overwritten daily.
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+
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+
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+ ![Record Growth](performers/chart-growth.svg)
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+
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+ | Field | Type | Fill Rate | Description |
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+ | --- | --- | --- | --- |
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+ | `_primaryKey` | `string` | 100% | Unique identifier for this record |
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+ | `_firstSeenAt` | `datetime` | 100% | First time this record was seen |
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+ | `_lastSeenAt` | `datetime` | 100% | Last time this record was updated |
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+ | `performerId` | `float` | 100% | Unique performer ID (e.g., 11, 793010) |
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+ | `name` | `string` | 100% | Full performer name (e.g., Chicago Cubs, MLB Postseason) |
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+ | `shortName` | `string` | 100% | Short name (e.g., Cubs, Dodgers) |
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+ | `type` | `string` | 100% | Performer type (mlb, nba, nhl, nfl, etc.) |
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+ | `slug` | `string` | 100% | URL-friendly slug (e.g., chicago-cubs) |
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+ | `url` | `string` | 100% | Full SeatGeek URL for the performer |
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+ | `heroImageUrl` 🔒 | `string` | 100% | Hero/large image URL |
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+ | `bannerImageUrl` 🔒 | `string` | 100% | Banner image URL |
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+ | `score` | `float` | 100% | Performer score (0-1 scale) |
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+ | `popularity` | `float` | 100% | Performer popularity score (raw count) |
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+ | `homeVenueId` | `float` | 59% | Home venue ID (for teams) |
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+ | `primaryColor` | `string` | 58% | Primary brand color hex (e.g., #0E3386) |
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+ | `iconicColor` | `string` | 58% | Iconic brand color hex |
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+ | `isEvent` | `bool` | 100% | Is an event/competition performer (e.g., playoffs, series) |
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+ | `divisionName` | `string` | 56% | Division display name (e.g., National League Central) |
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+ | `divisionShortName` | `string` | 56% | Division short name (e.g., NL Central) |
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+ | `taxonomyName` | `string` | 100% | Top-level category (sports, concerts, theater) |
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+ | `taxonomySubName` | `string` | 99% | Sub-category (baseball, basketball, hockey, football) |
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+
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+
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+
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+ > 🔒 **Premium fields** are included in the data files but their values are replaced with `[PREMIUM]`. To access real values, [use our website](https://rebrowser.net/products/datasets/seatgeek).
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+
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+
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+
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+ #### Field Distributions
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+
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+
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+ <details>
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+ <summary><strong>Performer Type</strong> (<code>type</code>)</summary>
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+
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+
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+ | Value | Count | Share |
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+ | --- | --- | --- |
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+ | nfl | 59 | `█████░░░░░░░░░░░░░░░` 26.5% |
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+ | nba | 45 | `████░░░░░░░░░░░░░░░░` 20.2% |
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+ | mlb | 43 | `████░░░░░░░░░░░░░░░░` 19.3% |
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+ | nhl | 43 | `████░░░░░░░░░░░░░░░░` 19.3% |
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+ | baseball | 19 | `██░░░░░░░░░░░░░░░░░░` 8.5% |
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+ | stadium_tours | 5 | `░░░░░░░░░░░░░░░░░░░░` 2.2% |
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+ | minor_league_baseball | 4 | `░░░░░░░░░░░░░░░░░░░░` 1.8% |
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+ | band | 2 | `░░░░░░░░░░░░░░░░░░░░` 0.9% |
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+ | ncaa_baseball | 2 | `░░░░░░░░░░░░░░░░░░░░` 0.9% |
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+ | basketball | 1 | `░░░░░░░░░░░░░░░░░░░░` 0.4% |
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+
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+ </details>
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+
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+
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+
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+
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+
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+ ---
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+
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+ ### Venues
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+ SeatGeek venues with name, full address, city, state, country, GPS coordinates, capacity, and popularity score.
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+
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+
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+
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+
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+ > **161** total records from 2025-10-05 to 2026-03-01, **10** rows in this sample (6.2% of full dataset).
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+ > Exported as a single file, overwritten daily.
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+
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+
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+ ![Record Growth](venues/chart-growth.svg)
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+
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+ | Field | Type | Fill Rate | Description |
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+ | --- | --- | --- | --- |
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+ | `_primaryKey` | `string` | 100% | Unique identifier for this record |
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+ | `_firstSeenAt` | `datetime` | 100% | First time this record was seen |
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+ | `_lastSeenAt` | `datetime` | 100% | Last time this record was updated |
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+ | `venueId` | `float` | 100% | Unique venue ID (e.g., 15, 181) |
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+ | `name` | `string` | 100% | Venue name (e.g., American Family Field, Capital One Arena) |
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+ | `slug` | `string` | 100% | URL-friendly slug (e.g., american-family-field) |
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+ | `url` | `string` | 100% | Full SeatGeek URL for the venue |
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+ | `addressStreet` | `string` | 96% | Street address (e.g., 1 Brewers Way) |
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+ | `addressCity` | `string` | 100% | City name (e.g., Milwaukee) |
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+ | `addressState` | `string` | 98% | State/province code (e.g., WI, ON) |
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+ | `addressCountry` | `string` | 100% | Country (US, Canada, Germany, UK) |
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+ | `addressPostalCode` | `string` | 99% | Postal/ZIP code (e.g., 53214) |
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+ | `timezone` | `string` | 100% | IANA timezone (e.g., America/Chicago) |
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+ | `latitude` | `float` | 100% | Venue latitude coordinate |
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+ | `longitude` | `float` | 100% | Venue longitude coordinate |
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+ | `capacity` | `float` | 100% | Venue seating capacity |
347
+ | `score` | `float` | 100% | Venue score (0-1 scale) |
348
+ | `popularity` | `float` | 100% | Venue popularity score (raw count) |
349
+ | `metroCode` | `float` | 100% | Metro area code |
350
+
351
+
352
+
353
+
354
+
355
+ #### Field Distributions
356
+
357
+
358
+ <details>
359
+ <summary><strong>Venue Countries</strong> (<code>addressCountry</code>)</summary>
360
+
361
+
362
+ | Value | Count | Share |
363
+ | --- | --- | --- |
364
+ | US | 148 | `██████████████████░░` 91.9% |
365
+ | Canada | 10 | `█░░░░░░░░░░░░░░░░░░░` 6.2% |
366
+ | UK | 2 | `░░░░░░░░░░░░░░░░░░░░` 1.2% |
367
+ | Germany | 1 | `░░░░░░░░░░░░░░░░░░░░` 0.6% |
368
+
369
+ </details>
370
+
371
+
372
+
373
+
374
+
375
+
376
+ ---
377
+
378
+ ## Pre-built Views on Rebrowser
379
+
380
+ Rebrowser web viewer lets you filter, sort, and export any slice of this dataset interactively. These pre-built views are ready to open:
381
+
382
+
383
+ ### Events
384
+
385
+
386
+ [Events with Pricing Data](https://rebrowser.net/products/datasets/seatgeek/events/views/events-with-pricing-data) — 2,987 records
387
+
388
+ ↳ `[{"field":"averagePrice","op":"gt","value":0},{"sort":"averagePrice DESC"}]`
389
+
390
+ [Sports Events](https://rebrowser.net/products/datasets/seatgeek/events/views/sports-events) — 2,987 records
391
+
392
+ ↳ `[{"field":"taxonomyName","op":"is","value":"sports"},{"sort":"datetimeUtc ASC"}]`
393
+
394
+ [Events Open for Ticket Sales](https://rebrowser.net/products/datasets/seatgeek/events/views/open-for-sale-events) — 1,031 records
395
+
396
+ ↳ `[{"field":"isOpen","op":"isTrue"},{"sort":"datetimeUtc ASC"}]`
397
+
398
+ [MLB Baseball Events](https://rebrowser.net/products/datasets/seatgeek/events/views/mlb-events) — 56 records
399
+
400
+ ↳ `[{"field":"type","op":"is","value":"mlb"},{"sort":"datetimeUtc ASC"}]`
401
+
402
+ [NBA Basketball Events](https://rebrowser.net/products/datasets/seatgeek/events/views/nba-events) — 916 records
403
+
404
+ ↳ `[{"field":"type","op":"is","value":"nba"},{"sort":"datetimeUtc ASC"}]`
405
+
406
+
407
+ *[See all 24 views →](https://rebrowser.net/products/datasets/seatgeek/events)*
408
+
409
+
410
+
411
+ ### Event Listings
412
+
413
+
414
+ [Listings with Deal Score](https://rebrowser.net/products/datasets/seatgeek/event-listings/views/listings-with-deal-score) — 27,340,000 records
415
+
416
+ ↳ `[{"field":"dealScore","op":"gt","value":0},{"sort":"dealScore DESC"}]`
417
+
418
+ [Best Deal Listings (Deal Score 8+)](https://rebrowser.net/products/datasets/seatgeek/event-listings/views/best-deal-listings) — 12,721,146 records
419
+
420
+ ↳ `[{"field":"dealScore","op":"gte","value":8},{"sort":"dealScore DESC"}]`
421
+
422
+ [Listings by Price (Low to High)](https://rebrowser.net/products/datasets/seatgeek/event-listings/views/listings-by-price-low) — 27,340,000 records
423
+
424
+ ↳ `[{"sort":"price ASC"}]`
425
+
426
+ [Listings by Price (High to Low)](https://rebrowser.net/products/datasets/seatgeek/event-listings/views/listings-by-price-high) — 27,340,000 records
427
+
428
+ ↳ `[{"sort":"price DESC"}]`
429
+
430
+ [Electronic Delivery Listings](https://rebrowser.net/products/datasets/seatgeek/event-listings/views/electronic-delivery-listings) — 25,159,243 records
431
+
432
+ ↳ `[{"field":"deliveryType","op":"is","value":"electronic"},{"sort":"price ASC"}]`
433
+
434
+
435
+ *[See all 25 views →](https://rebrowser.net/products/datasets/seatgeek/event-listings)*
436
+
437
+
438
+
439
+ ### Performers
440
+
441
+
442
+ [Sports Performers](https://rebrowser.net/products/datasets/seatgeek/performers/views/sports-performers) — 73 records
443
+
444
+ ↳ `[{"field":"taxonomyName","op":"is","value":"sports"},{"sort":"name ASC"}]`
445
+
446
+ [MLB Performers](https://rebrowser.net/products/datasets/seatgeek/performers/views/mlb-performers) — 6 records
447
+
448
+ ↳ `[{"field":"type","op":"is","value":"mlb"},{"sort":"name ASC"}]`
449
+
450
+ [NBA Performers](https://rebrowser.net/products/datasets/seatgeek/performers/views/nba-performers) — 6 records
451
+
452
+ ↳ `[{"field":"type","op":"is","value":"nba"},{"sort":"name ASC"}]`
453
+
454
+ [NHL Performers](https://rebrowser.net/products/datasets/seatgeek/performers/views/nhl-performers) — 2 records
455
+
456
+ ↳ `[{"field":"type","op":"is","value":"nhl"},{"sort":"name ASC"}]`
457
+
458
+ [NFL Performers](https://rebrowser.net/products/datasets/seatgeek/performers/views/nfl-performers) — 51 records
459
+
460
+ ↳ `[{"field":"type","op":"is","value":"nfl"},{"sort":"name ASC"}]`
461
+
462
+
463
+ *[See all 18 views →](https://rebrowser.net/products/datasets/seatgeek/performers)*
464
+
465
+
466
+
467
+ ### Venues
468
+
469
+
470
+ [Venues by Capacity](https://rebrowser.net/products/datasets/seatgeek/venues/views/venues-by-capacity) — 44 records
471
+
472
+ ↳ `[{"field":"capacity","op":"gt","value":0},{"sort":"capacity DESC"}]`
473
+
474
+ [Venues in United States](https://rebrowser.net/products/datasets/seatgeek/venues/views/venues-united-states) — 41 records
475
+
476
+ ↳ `[{"field":"addressCountry","op":"is","value":"US"},{"sort":"addressState ASC"}]`
477
+
478
+ [Venues in California](https://rebrowser.net/products/datasets/seatgeek/venues/views/venues-california) — 3 records
479
+
480
+ ↳ `[{"field":"addressState","op":"is","value":"CA"},{"sort":"name ASC"}]`
481
+
482
+ [Venues in Florida](https://rebrowser.net/products/datasets/seatgeek/venues/views/venues-florida) — 4 records
483
+
484
+ ↳ `[{"field":"addressState","op":"is","value":"FL"},{"sort":"name ASC"}]`
485
+
486
+ [Venues in Arizona](https://rebrowser.net/products/datasets/seatgeek/venues/views/venues-arizona) — 1 records
487
+
488
+ ↳ `[{"field":"addressState","op":"is","value":"AZ"},{"sort":"name ASC"}]`
489
+
490
+
491
+ *[See all 19 views →](https://rebrowser.net/products/datasets/seatgeek/venues)*
492
+
493
+
494
+
495
+
496
+ ---
497
+
498
+ ## Code Examples
499
+
500
+ ```python
501
+ import pandas as pd
502
+ from pathlib import Path
503
+
504
+ # ── Performers (dimension table) ─────────────────────────────────────────────
505
+ performers = pd.read_parquet('rebrowser/seatgeek-dataset/performers/data.parquet')
506
+
507
+ # Top 20 performers by popularity
508
+ print(performers.nlargest(20, 'popularity')[['name', 'type', 'taxonomyName', 'popularity']]
509
+ .to_string(index=False))
510
+
511
+ # Count performers per type (mlb, nba, nhl, nfl, ...)
512
+ print(performers['type'].value_counts().head(15).to_string())
513
+
514
+ # Sports performers with a home venue
515
+ home_teams = performers[performers['homeVenueId'].notna()]
516
+ print(home_teams[['name', 'type', 'divisionShortName', 'homeVenueId']].sort_values('type'))
517
+
518
+ # ── Venues (dimension table) ─────────────────────────────────────────────────
519
+ venues = pd.read_parquet('rebrowser/seatgeek-dataset/venues/data.parquet')
520
+
521
+ # Largest venues by capacity
522
+ print(venues.nlargest(15, 'capacity')[['name', 'addressCity', 'addressState', 'capacity']]
523
+ .to_string(index=False))
524
+
525
+ # Venue count by state
526
+ print(venues['addressState'].value_counts().head(15).to_string())
527
+
528
+ # ── Events (daily append) ────────────────────────────────────────────────────
529
+ files = sorted(Path('rebrowser/seatgeek-dataset/events/data').glob('*.parquet'))[-7:]
530
+ events = pd.concat([pd.read_parquet(f) for f in files])
531
+
532
+ # Events by type
533
+ print(events['type'].value_counts().head(15).to_string())
534
+
535
+ # Upcoming sports events with normal status
536
+ sports = events[(events['taxonomyName'] == 'sports') & (events['status'] == 'normal')]
537
+ print(sports[['name', 'type', 'datetimeUtc', 'venueId']].head(20).to_string(index=False))
538
+
539
+ # Events with cross-platform Ticketmaster IDs
540
+ tm_events = events[events['ticketmasterId'].notna()]
541
+ print(f"Events with Ticketmaster ID: {len(tm_events)} / {len(events)}")
542
+
543
+ # ── Event Listings (daily append) ────────────────────────────────────────────
544
+ files = sorted(Path('rebrowser/seatgeek-dataset/event-listings/data').glob('*.parquet'))[-7:]
545
+ listings = pd.concat([pd.read_parquet(f) for f in files])
546
+
547
+ # Distribution of delivery types
548
+ print(listings['deliveryType'].value_counts().to_string())
549
+
550
+ # Listings by marketplace
551
+ print(listings['marketplace'].value_counts().to_string())
552
+
553
+ # Average quantity per listing by delivery type
554
+ print(listings.groupby('deliveryType')['quantity'].mean().round(1).to_string())
555
+ ```
556
+
557
+ ---
558
+
559
+ ## Use Cases
560
+
561
+
562
+ ### Cross-Platform Event Matching
563
+
564
+ Use ticketmasterId and stubhubId fields to match events across SeatGeek, Ticketmaster, and StubHub. Build cross-marketplace comparisons and inventory analysis.
565
+
566
+
567
+ ### Venue Capacity Analysis
568
+
569
+ Combine venue capacity data with event listing counts to study sell-through rates. Compare demand patterns across venue sizes, states, and time zones.
570
+
571
+
572
+ ### Delivery Method Research
573
+
574
+ Analyze how electronic vs. shipped vs. app delivery options distribute across event types and marketplaces. Study the industry shift toward mobile ticketing.
575
+
576
+
577
+ ### Performer Demand Tracking
578
+
579
+ Join events with performers to measure which artists and teams generate the most listings. Rank performers by event frequency and marketplace activity.
580
+
581
+
582
+
583
+ ---
584
+
585
+ ## Full Dataset on Rebrowser
586
+
587
+
588
+ This is a 1,000-row preview sample. The full dataset is at [rebrowser.net/products/datasets/seatgeek](https://rebrowser.net/products/datasets/seatgeek)
589
+
590
+ Doing academic research? You may qualify for free access to a larger slice. See [Free Datasets for Research](https://rebrowser.net/free-datasets-for-research).
591
+
592
+ On Rebrowser you can:
593
+ - **Filter before you buy** — use the web UI to apply filters on any field and sort by any column. Preview results before purchasing. You only pay for records that match your criteria.
594
+ - **Export in your format** — CSV, JSON, JSONL, or Parquet depending on your plan.
595
+ - **Access via API** — integrate dataset queries into your pipelines and workflows.
596
+ - **Choose your freshness** — plans range from a 14-day lag to real-time data with no delay.
597
+ - **Select only the fields you need** — keep exports lean. Premium fields with richer data are available on higher plans.
598
+
599
+ [Pricing](https://rebrowser.net/pricing) starts at **$2 per 1,000 rows** with volume discounts.
600
+
601
+ ---
602
+
603
+ ## License & Terms
604
+
605
+ **Free for research and non-commercial use** with attribution. See [license terms](https://rebrowser.net/free-datasets-for-research#license) and [how to cite](https://rebrowser.net/free-datasets-for-research#citation).
606
+
607
+ ```bibtex
608
+ @misc{rebrowser_seatgeek,
609
+ author = {Rebrowser},
610
+ title = {SeatGeek Events & Ticket Listings Dataset},
611
+ year = {2026},
612
+ howpublished = {\url{https://rebrowser.net/products/datasets/seatgeek}},
613
+ note = {Accessed: YYYY-MM-DD}
614
+ }
615
+ ```
616
+
617
+ Commercial use requires a paid license — see [pricing](https://rebrowser.net/pricing). Use of this data is governed by the [Rebrowser Terms of Use](https://rebrowser.net/terms-of-use), which may be updated at any time independently of this dataset.
618
+
619
+ ---
620
+
621
+ ## Disclaimer
622
+
623
+ 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 does not infringe on the rights of any third party.
624
+
625
+
626
+ You can also find this data on [GitHub](https://github.com/rebrowser/seatgeek-dataset), [Kaggle](https://www.kaggle.com/datasets/rebrowser/seatgeek-dataset).
627
+
event-listings/chart-growth.svg ADDED
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1
+ [
2
+ {
3
+ "name": "_primaryKey",
4
+ "type": "string",
5
+ "description": "Unique identifier for this record",
6
+ "fillRate": 100,
7
+ "premium": false
8
+ },
9
+ {
10
+ "name": "_firstSeenAt",
11
+ "type": "datetime",
12
+ "description": "First time this record was seen",
13
+ "fillRate": 100,
14
+ "premium": false
15
+ },
16
+ {
17
+ "name": "_lastSeenAt",
18
+ "type": "datetime",
19
+ "description": "Last time this record was updated",
20
+ "fillRate": 100,
21
+ "premium": false
22
+ },
23
+ {
24
+ "name": "listingId",
25
+ "type": "string",
26
+ "description": "Unique listing ID (e.g., qVjH2vAdbzA, 05VT8679aVX)",
27
+ "fillRate": 100,
28
+ "premium": false
29
+ },
30
+ {
31
+ "name": "eventId",
32
+ "type": "string",
33
+ "description": "Event ID this listing belongs to (join with seatgeek_events)",
34
+ "fillRate": 100,
35
+ "premium": false
36
+ },
37
+ {
38
+ "name": "price",
39
+ "type": "float",
40
+ "description": "Ticket price in dollars before fees",
41
+ "fillRate": 100,
42
+ "premium": true
43
+ },
44
+ {
45
+ "name": "priceWithFees",
46
+ "type": "float",
47
+ "description": "Total ticket price in dollars with fees",
48
+ "fillRate": 100,
49
+ "premium": true
50
+ },
51
+ {
52
+ "name": "fee",
53
+ "type": "float",
54
+ "description": "Fee amount in dollars",
55
+ "fillRate": 100,
56
+ "premium": true
57
+ },
58
+ {
59
+ "name": "section",
60
+ "type": "string",
61
+ "description": "Section name/number (e.g., 101, 506WC, C129)",
62
+ "fillRate": 100,
63
+ "premium": false
64
+ },
65
+ {
66
+ "name": "sectionFull",
67
+ "type": "string",
68
+ "description": "Full section name including tier/level (e.g., Section 101, Club 129, Section 506 WC)",
69
+ "fillRate": 100,
70
+ "premium": false
71
+ },
72
+ {
73
+ "name": "row",
74
+ "type": "string",
75
+ "description": "Row within section - can be numeric (1-50+) or letter (a-z, w, h)",
76
+ "fillRate": 100,
77
+ "premium": false
78
+ },
79
+ {
80
+ "name": "quantity",
81
+ "type": "float",
82
+ "description": "Number of tickets available in this listing, typically 1-20",
83
+ "fillRate": 100,
84
+ "premium": false
85
+ },
86
+ {
87
+ "name": "seats",
88
+ "type": "array",
89
+ "description": "Specific seat numbers if assigned, empty array if GA/unassigned",
90
+ "fillRate": 27,
91
+ "premium": false
92
+ },
93
+ {
94
+ "name": "inHandDate",
95
+ "type": "datetime",
96
+ "description": "Date when tickets will be in hand for delivery",
97
+ "fillRate": 99,
98
+ "premium": false
99
+ },
100
+ {
101
+ "name": "deliveryType",
102
+ "type": "string",
103
+ "description": "Ticket delivery method: electronic, sg_app, shipped, local",
104
+ "fillRate": 100,
105
+ "premium": false
106
+ },
107
+ {
108
+ "name": "marketplace",
109
+ "type": "string",
110
+ "description": "Ticket marketplace/seller: exchange, open_marketplace, marketplace, open, fan_to_fan",
111
+ "fillRate": 100,
112
+ "premium": false
113
+ },
114
+ {
115
+ "name": "dealBucket",
116
+ "type": "float",
117
+ "description": "Deal quality bucket: 0=Amazing, 1=Great, 2=Good, 3=Okay, 4-6=Price tiers, 7=Other",
118
+ "fillRate": 100,
119
+ "premium": false
120
+ },
121
+ {
122
+ "name": "dealScore",
123
+ "type": "float",
124
+ "description": "Deal quality score 0-10, higher=better value",
125
+ "fillRate": 99,
126
+ "premium": true
127
+ },
128
+ {
129
+ "name": "splitType",
130
+ "type": "string",
131
+ "description": "How tickets can be split - comma-separated quantities (e.g., \"2\", \"1,2,4\")",
132
+ "fillRate": 100,
133
+ "premium": false
134
+ }
135
+ ]
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+ "name": "venueId",
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+ "description": "Integrated ticket provider (OPEN, TICKETMASTER, TDC)",
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+ "description": "Venue has seat map available",
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+ "type": "bool",
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+ "description": "Event is general admission",
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+ "fillRate": 100,
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+ "type": "bool",
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+ "description": "Seat selection is enabled",
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+ "fillRate": 100,
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+ "premium": false
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+ }
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+ "name": "name",
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+ "description": "Full performer name (e.g., Chicago Cubs, MLB Postseason)",
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+ "fillRate": 100,
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+ "name": "heroImageUrl",
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+ "type": "string",
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+ "name": "addressPostalCode",
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+ "name": "timezone",
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+ "description": "IANA timezone (e.g., America/Chicago)",
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