rebrowser/gametime-dataset

language:

• —en license: cc-by-nc-4.0 pretty_name: "Gametime Last-Minute Tickets & Event Listings Dataset" tags:
• —open-data
• —data-science
• —web-scraping
• —scraper
• —crawler
• —data-collection
• —tickets
• —event-tickets
• —live-events
• —ticket-marketplace
• —sports-tickets
• —concert-tickets
• —ticket-pricing size_categories:
• —10M<n<100M task_categories:
• —other configs:
• —configname: event-listings datafiles:
• —path: "event-listings/data/*.parquet" split: train
• —configname: events datafiles:
• —path: "events/data/*.parquet" split: train
• —configname: performers datafiles:
• —path: "performers/data.parquet" split: train
• —configname: venues datafiles:
• —path: "venues/data.parquet" split: train ---

Gametime Last-Minute Tickets & Event Listings Dataset

Daily snapshots of Gametime's last-minute ticket marketplace with events, listings, deal badges, venues, and performers across sports, concerts, and theater.

This dataset is a preview sample of the Gametime dataset 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.

This dataset contains 4 entities, each in its own folder: Event Listings (event-listings), Events (events), Performers (performers), Venues (venues). See below for a full field breakdown, sample counts, and data distributions for each.

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).

Event Listings

Per-event ticket listings from Gametime with section, row, seat group, delivery type, transfer type, ticket type, deal badges, available lot sizes, and ticket disclosures.

33,351,642 total records from 2025-11-16 to 2026-09-20, up to 30,000 rows in this sample (0.09% of full dataset). Exported as one file per day, up to 1,000 rows each, last 30 days retained.

[image]

🔒 Premium fields are included in the data files but their values are replaced with [PREMIUM]. To access real values, use our website.

Field Distributions

<details> <summary><strong>Deal Badge Distribution</strong> (<code>deal</code>)</summary>

</details>

Events

Gametime events with category, local/UTC datetime, deal indicators, venue and performer references across sports, music, theater, and comedy.

240,305 total records from 2025-11-16 to 2026-09-20, up to 30,000 rows in this sample (12.5% of full dataset). Exported as one file per day, up to 1,000 rows each, last 30 days retained.

[image]

🔒 Premium fields are included in the data files but their values are replaced with [PREMIUM]. To access real values, use our website.

Field Distributions

<details> <summary><strong>Event Categories</strong> (<code>category</code>)</summary>

</details>

Performers

Gametime performers with name, abbreviation, slug, category, category group, primary genre, and genre tags across sports teams, music artists, theater acts, and comedy.

11,543 total records from 2025-11-16 to 2026-09-20, 1,000 rows in this sample (8.7% of full dataset). Exported as a single file, overwritten daily.

[image]

🔒 Premium fields are included in the data files but their values are replaced with [PREMIUM]. To access real values, use our website.

Field Distributions

<details> <summary><strong>Performer Categories</strong> (<code>category</code>)</summary>

</details>

Venues

Gametime venues with name, city, state, metro area, timezone, geo-coordinates, and full street address across the US.

5,079 total records from 2025-11-16 to 2026-09-20, 1,000 rows in this sample (19.7% of full dataset). Exported as a single file, overwritten daily.

[image]

🔒 Premium fields are included in the data files but their values are replaced with [PREMIUM]. To access real values, use our website.

Field Distributions

<details> <summary><strong>Venues by State</strong> (<code>state</code>)</summary>

</details>

Pre-built Views on Rebrowser

Rebrowser web viewer lets you filter, sort, and export any slice of this dataset interactively. These pre-built views are ready to open:

Event Listings

Listings with Deal Badge — 9,560,114 records

↳ [{"field":"deal","op":"isNotEmpty"},{"sort":"priceTotal ASC"}]

Instant Delivery Listings — 77,043 records

↳ [{"field":"deliveryType","op":"is","value":"instant"},{"sort":"priceTotal ASC"}]

Listings with Savings — 211,057 records

↳ [{"field":"savingsAmount","op":"gt","value":0},{"sort":"savingsPercent DESC"}]

Cheapest Deal Listings — 1,273,245 records

↳ [{"field":"deal","op":"is","value":"cheapest"},{"sort":"priceTotal ASC"}]

Listings by Price (Low to High) — 31,273,928 records

↳ [{"sort":"priceTotal ASC"}]

[See all 18 views →](https://rebrowser.net/products/datasets/gametime/event-listings)

Events

Events with Flash Deals — 60,089 records

↳ [{"field":"flashDealPriceTotal","op":"gt","value":0},{"sort":"datetimeUtc ASC"}]

NBA Events — 1,701 records

↳ [{"field":"category","op":"is","value":"nba"},{"sort":"datetimeUtc ASC"}]

Music & Concert Events — 88,102 records

↳ [{"field":"category","op":"is","value":"music"},{"sort":"datetimeUtc ASC"}]

Events with Zone Deals — 2,843 records

↳ [{"field":"zoneDealPriceTotal","op":"gt","value":0},{"sort":"datetimeUtc ASC"}]

Events with Exclusive Listings — 60,864 records

↳ [{"field":"hasExclusives","op":"isTrue","value":true},{"sort":"datetimeUtc ASC"}]

[See all 19 views →](https://rebrowser.net/products/datasets/gametime/events)

Performers

Music Performers — 5,857 records

↳ [{"field":"category","op":"is","value":"music"},{"sort":"name ASC"}]

College Basketball Performers — 569 records

↳ [{"field":"category","op":"is","value":"cbb"},{"sort":"name ASC"}]

Theater Performers — 497 records

↳ [{"field":"category","op":"is","value":"theater"},{"sort":"name ASC"}]

NBA Performers — 39 records

↳ [{"field":"category","op":"is","value":"nba"},{"sort":"name ASC"}]

NFL Performers — 38 records

↳ [{"field":"category","op":"is","value":"nfl"},{"sort":"name ASC"}]

[See all 17 views →](https://rebrowser.net/products/datasets/gametime/performers)

Venues

Venues in California — 481 records

↳ [{"field":"state","op":"is","value":"CA"},{"sort":"name ASC"}]

Venues in Texas — 308 records

↳ [{"field":"state","op":"is","value":"TX"},{"sort":"name ASC"}]

Venues in New York — 298 records

↳ [{"field":"state","op":"is","value":"NY"},{"sort":"name ASC"}]

Venues in Florida — 214 records

↳ [{"field":"state","op":"is","value":"FL"},{"sort":"name ASC"}]

Venues in Illinois — 176 records

↳ [{"field":"state","op":"is","value":"IL"},{"sort":"name ASC"}]

[See all 19 views →](https://rebrowser.net/products/datasets/gametime/venues)

Code Examples

import pandas as pd
from pathlib import Path

# ── Venues (reference table) ────────────────────────────────────────────────
venues = pd.read_parquet('rebrowser/gametime-dataset/venues/data.parquet')

# Top 10 states by venue count
print(venues['state'].value_counts().head(10).to_string())

# Venues in a specific metro area
print(venues[venues['metro'] == 'newyork'][['name', 'city', 'state']]
      .to_string(index=False))

# ── Performers (reference table) ────────────────────────────────────────────
performers = pd.read_parquet('rebrowser/gametime-dataset/performers/data.parquet')

# Count performers by category (nba, nfl, music, theater, etc.)
print(performers['category'].value_counts().head(15).to_string())

# Music performers with a primary genre
music = performers[(performers['category'] == 'music') & (performers['primaryGenre'].notna())]
print(music.groupby('primaryGenre').size().sort_values(ascending=False).head(10).to_string())

# ── Events (daily files) ────────────────────────────────────────────────────
files = sorted(Path('rebrowser/gametime-dataset/events/data').glob('*.parquet'))[-7:]
events = pd.concat([pd.read_parquet(f) for f in files])

# Events per category
print(events['category'].value_counts().to_string())

# Upcoming confirmed events (date not TBD)
confirmed = events[events['dateTbd'] == False].sort_values('datetimeUtc')
print(confirmed[['name', 'category', 'datetimeUtc']].head(20).to_string(index=False))

# ── Event Listings (daily files) ────────────────────────────────────────────
files = sorted(Path('rebrowser/gametime-dataset/event-listings/data').glob('*.parquet'))[-7:]
listings = pd.concat([pd.read_parquet(f) for f in files])

# Deal badge distribution
print(listings['deal'].value_counts().to_string())

# Listings by delivery type
print(listings['deliveryType'].value_counts().to_string())

Use Cases

Last-Minute Pricing Analysis

Study how deal badges (great, amazing, cheapest, super, zone) distribute across event categories and delivery types. Identify which sports and concert segments see the most deal activity.

Venue Market Mapping

Map venue density by state and metro area using geo-coordinates. Identify which regions have the highest event concentration and compare venue coverage across markets.

Performer Demand Research

Analyze which performer categories and genres generate the most events. Track how leagues like NFL, NBA, and MLB compare in event volume over time.

Delivery & Inventory Patterns

Examine distribution of ticket delivery types (mobile, electronic, instant, direct) and available lot sizes across event categories to understand marketplace fulfillment dynamics.

Full Dataset on Rebrowser

This is a 1,000-row preview sample. The full dataset is at rebrowser.net/products/datasets/gametime

Doing academic research? You may qualify for free access to a larger slice. See Free Datasets for Research.

On Rebrowser you can:

• —Filter before you buy — use the web UI to apply documented filters and sortable columns. Preview results before purchasing; paid exports freeze their exact selected identities before billing.
• —Export in your format — CSV, JSON, JSONL, or Parquet depending on your plan.
• —Access via API — integrate dataset queries into your pipelines and workflows.
• —Choose your freshness — plans range from a 14-day lag to real-time data with no delay.
• —Select only the fields you need — keep exports lean. Premium fields with richer data are available on higher plans.

Pricing starts at $2 per 1,000 rows with volume discounts.

License & Terms

Free for research and non-commercial use with attribution. See license terms and how to cite.

@misc{rebrowser_gametime,
  author       = {Rebrowser},
  title        = {Gametime Last-Minute Tickets & Event Listings Dataset},
  year         = {2026},
  howpublished = {\url{https://rebrowser.net/products/datasets/gametime}},
  note         = {Accessed: YYYY-MM-DD}
}

Commercial use requires a paid license — see pricing. Use of this data is governed by the Rebrowser Terms of Use, which may be updated at any time independently of this dataset.

Disclaimer

Rebrowser is an independent data provider and is not affiliated with, endorsed by, or sponsored by Gametime. Any trademarks are the property of their respective owners. This dataset is compiled from publicly available information; we do not request or collect Gametime user credentials. By using this dataset, you agree to comply with Gametime'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.

You can also find this data on GitHub, Kaggle, Zenodo.