Events

Name: Events - SeatGeek Dataset
Creator: Rebrowser
License: https://rebrowser.com/pricing
Keywords: Events, SeatGeek, dataset, web scraping data, structured data

SeatGeek event catalog with type, taxonomy, venue, performer IDs, pricing stats, and listing counts. Essential for event discovery, pricing analysis, and entertainment market research.

7,320 records

44 fields

Updated a day ago

Data: 5 months ago — a day ago

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All Events3K rows

Complete catalog of SeatGeek events with type, taxonomy, venue, pricing stats, and listing counts. Essential for event discovery, market research, and entertainment analytics.

Events Open for Ticket Sales1K rowsFeatured

Events currently open for ticket purchases with listing and pricing stats. Used by resellers and analysts tracking live inventory.

Events with Pricing Data3K rowsFeatured

SeatGeek events that include average and lowest ticket prices. Valuable for pricing analysts, resellers, and researchers studying ticket market dynamics.

Sports Events3K rowsFeatured

All sports events on SeatGeek including MLB, NBA, NHL, NFL, and college. Used by sports analysts, betting platforms, and venue operators for demand forecasting.

Affordable Events (Under $100 Average)3K rows

Events with average ticket price under $100. Budget-friendly segment for accessibility analysis.

Conditional Events (Playoffs, Series)67 rows

Conditional events like playoff games that may or may not occur. Used for playoff and series tracking.

Events by Popularity Score3K rows

Events ranked by SeatGeek popularity score. Used for demand and trending event analysis.

Events with Active Listings3K rows

Events that have at least one ticket listing. Used for availability and liquidity research.

Events with Most Tickets Available3K rows

Events with the largest ticket inventory. Valuable for supply and demand analysis.

Events with Normal Status3K rows

Events with normal status (not postponed or cancelled). Essential for active inventory analysis.

Events with Seat Map Available2.1K rows

Events at venues with interactive seat maps. Valuable for UX and mapping product teams.

Events with StubHub ID3K rows

Events that have a StubHub cross-reference ID. Used for marketplace comparison and arbitrage.

Events with Ticketmaster ID3K rows

Events that have a Ticketmaster cross-reference ID. Used for multi-platform matching and arbitrage.

General Admission Events912 rows

General admission events without assigned seating. Used by venue and format analysts.

High Demand Events (100+ Listings)1.9K rows

Events with high listing counts indicating strong demand. Used for inventory liquidity and market demand analysis.

High Popularity Events3K rows

Events ranked by popularity score. Top events driving the most attention and engagement.

MLB Baseball Events56 rows

Major League Baseball games and events. Valuable for sports data platforms and baseball market analysis.

NBA Basketball Events916 rows

NBA games and basketball events. Used by sports analysts and betting research.

NFL Football Events341 rows

NFL games and football events. Key dataset for sports data and advertising platforms.

NHL Hockey Events885 rows

NHL games and hockey events. Essential for hockey market and venue analytics.

Premium Priced Events ($200+ Average)3K rows

Events with average ticket price of $200 or more. High-value segment for luxury and premium market analysis.

Recently Added Events3K rows

Events sorted by creation date with most recent first. Used for tracking new event announcements.

Stadium Tours and Experiences782 rows

Stadium tour and experience events. Used by venue and tourism analysts.

Upcoming Events by Date3K rows

All events ordered by event date. Essential for calendar and discovery use cases.

Visible Events3K rows

Events currently visible on the SeatGeek site. Used for catalog completeness and availability research.

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Data Growth

Track how this dataset grows with weekly updates. See the total record count increase over time as we continuously collect and add new data.

Last 24 hours

3,964 added

Last 7 days

4,195 added

Last 28 days

4,509 added

Data Distribution

Event Type

6 unique

mlb2,978

nhl1,414

nba1,377

stadium_tours1,195

nfl353

baseball3

Top-Level Category

1 unique

sports7,320

Sub-Category

4 unique

baseball2,981

football1,548

hockey1,414

basketball1,377

Event Status

1 unique

normal7,320

Data Schema

This entity has 44 fields. Fields marked with track historical changes. what is historical tracking?

FieldTypeFill RateUniqueDescription

Field

_primaryKey

Type

text

Fill Rate

100%

Unique

—

Description

Unique identifier for this record

Field

_firstSeenAt

Type

datetime

Fill Rate

100%

Unique

—

Description

First time this record was seen

Field

_lastSeenAt

Type

datetime

Fill Rate

100%

Unique

—

Description

Last time this record was updated

Field

announceDate

Type

datetime

Fill Rate

100%

Unique

—

Description

Event announcement date

Field

averagePricePremium

Type

number

Fill Rate

99.9%

Unique

868

Description

Average ticket price in dollars

Field

conditional

Type

boolean

Fill Rate

100%

Unique

—

Description

Event is conditional (e.g., playoff games)

Field

contingent

Type

boolean

Fill Rate

100%

Unique

—

Description

Event is contingent on other events

Field

createdAt

Type

datetime

Fill Rate

100%

Unique

—

Description

Event creation timestamp

Field

dateTbd

Type

boolean

Fill Rate

100%

Unique

—

Description

Event date is TBD (to be determined)

Field

datetimeTbd

Type

boolean

Fill Rate

100%

Unique

—

Description

Event datetime is TBD

Field

datetimeUtc

Type

datetime

Fill Rate

100%

Unique

—

Description

Event UTC datetime

Field

endDatetimeUtc

Type

datetime

Fill Rate

96.6%

Unique

—

Description

Event end datetime (UTC)

Field

eventId

Type

number

Fill Rate

100%

Unique

>1k

Description

Unique event ID (e.g., 17601982)

Field

eventScorePremium

Type

number

Fill Rate

100%

Unique

>1k

Description

Event score/rank (0-1 scale)

Field

highestPricePremium

Type

number

Fill Rate

99.9%

Unique

>1k

Description

Highest ticket price in dollars

Field

integratedProvider

Type

text

Fill Rate

61.7%

Unique

Description

Integrated ticket provider (OPEN, TICKETMASTER, TDC)

Field

integratedProviderId

Type

text

Fill Rate

61.7%

Unique

>1k

Description

Provider-specific event ID

Field

isGa

Type

boolean

Fill Rate

100%

Unique

—

Description

Event is general admission

Field

isHybrid

Type

boolean

Fill Rate

100%

Unique

—

Description

Event is a hybrid event

Field

isMapped

Type

boolean

Fill Rate

100%

Unique

—

Description

Venue has seat map available

Field

isOpen

Type

boolean

Fill Rate

100%

Unique

—

Description

Event is open for ticket sales

Field

isVisible

Type

boolean

Fill Rate

100%

Unique

—

Description

Event is visible on site

Field

listingCountPremium

Type

number

Fill Rate

100%

Unique

>1k

Description

Number of active ticket listings

Field

lowestPricePremium

Type

number

Fill Rate

99.9%

Unique

433

Description

Lowest ticket price in dollars

Field

lowestSgBasePricePremium

Type

number

Fill Rate

99.9%

Unique

380

Description

Lowest SeatGeek base price in dollars

Field

medianPricePremium

Type

number

Fill Rate

100%

Unique

650

Description

Median ticket price in dollars

Field

name

Type

text

Fill Rate

100%

Unique

>1k

Description

Full event name/title (e.g., NLDS: Chicago Cubs at Milwaukee Brewers)

Field

performerIds

Type

array

Fill Rate

100%

Unique

—

Description

Performer IDs (join with seatgeek_performers)

Field

popularityScorePremium

Type

number

Fill Rate

100%

Unique

>1k

Description

Event popularity score (0-1 scale)

Field

scheduleStatus

Type

text

Fill Rate

100%

Unique

Description

Schedule status (as_originally_scheduled, rescheduled)

Field

seatSelectionEnabled

Type

boolean

Fill Rate

100%

Unique

—

Description

Seat selection is enabled

Field

shortName

Type

text

Fill Rate

100%

Unique

>1k

Description

Short event name (e.g., NLDS: Cubs at Brewers)

Field

status

Type

text

Fill Rate

100%

Unique

Description

Event status (normal, postponed, cancelled)

Field

stubhubId

Type

text

Fill Rate

61.4%

Unique

>1k

Description

StubHub event ID (for cross-platform matching)

Field

taxonomyName

Type

text

Fill Rate

100%

Unique

Description

Top-level category (sports, concerts, theater)

Field

taxonomySubName

Type

text

Fill Rate

100%

Unique

Description

Sub-category (baseball, basketball, hockey, football)

Field

ticketCountPremium

Type

number

Fill Rate

100%

Unique

>1k

Description

Total tickets available across listings

Field

ticketmasterId

Type

text

Fill Rate

42.4%

Unique

>1k

Description

Ticketmaster event ID (for cross-platform matching)

Field

timeTbd

Type

boolean

Fill Rate

100%

Unique

—

Description

Event time is TBD

Field

type

Type

text

Fill Rate

100%

Unique

Description

Event type (mlb, nba, nhl, nfl, stadium_tours, etc.)

Field

url

Type

text

Fill Rate

100%

Unique

>1k

Description

Full SeatGeek URL for the event

Field

venueId

Type

number

Fill Rate

100%

Unique

161

Description

Venue ID (join with seatgeek_venues)

Field

visibleAt

Type

datetime

Fill Rate

100%

Unique

—

Description

When event became visible

Field

visibleUntilUtc

Type

datetime

Fill Rate

100%

Unique

—

Description

When event stops being visible (UTC)

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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.

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