Event Listings

Individual ticket listings from SeatGeek with price, section, row, Deal Score, delivery type, and marketplace. Essential for pricing analysis, deal discovery, and resale research.

61,408,875 records
19 fields
Updated 2 days ago
Data: 9 months ago — 2 days ago
fee row price seats eventId section quantity listingId dealScore splitType inHandDate dealBucket sectionFull marketplace deliveryType priceWithFees

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All Event Listings50.8M rows
Complete ticket listing dataset with price, section, Deal Score, and delivery type. Essential for pricing analysts and resale market research.
Best Deal Listings (Deal Score 8+)22.1M rowsFeatured
Listings rated 8 or higher on Deal Score. High-value subset for deal-seeking buyers and value analysis.
Listings with Deal Score50.8M rowsFeatured
Ticket listings that include SeatGeek Deal Score for value assessment. Used by buyers and analysts to find the best deals.
Amazing Deal Listings (Bucket 0)50.9M rows
Listings in the top Deal Score bucket. Highest value segment for deal analysis.
App Delivery Listings9.7M rows
Listings with SeatGeek app delivery. Used for delivery method and fulfillment analysis.
Electronic Delivery Listings40.9M rows
Listings with electronic/mobile delivery. Essential for instant-fulfillment and digital ticket analysis.
Exchange Marketplace Listings49.9M rows
Listings from the exchange marketplace. Used for marketplace mix and seller source analysis.
Fan-to-Fan Listings19.5K rows
Listings from fan-to-fan marketplace. Used for peer-to-peer resale and marketplace mix analysis.
Good Deal Listings (Bucket 2)9.2M rows
Listings in the Good deal bucket. Solid value segment for price-conscious buyers.
Great Deal Listings (Bucket 1)13.4M rows
Listings in the Great deal bucket. High-value segment for deal-focused buyers.
Listings by Deal Score (Best First)50.9M rows
Listings sorted by Deal Score descending. Find the best value tickets first.
Listings by Price (High to Low)50.8M rows
Premium listings sorted by price. Used for premium segment and pricing ceiling analysis.
Listings by Price (Low to High)50.4M rows
Ticket listings sorted by price. Useful for budget-focused buyers and price distribution analysis.
Listings by Total Price with Fees50.9M rows
Tickets sorted by total price including fees. True cost comparison for buyers.
Listings with 4+ Tickets27.5M rows
Listings with four or more tickets. Used for group and family purchase analysis.
Listings with 6+ Tickets14.1M rows
Large group ticket listings with six or more tickets. Used for bulk and corporate purchase analysis.
Local Pickup Listings344 rows
Listings with local pickup delivery. Face-to-face ticket transfer.
Low Priced Listings (Under $50)4.8M rows
Tickets priced under $50. Budget-friendly options for price-conscious buyers.
Mid-Range Listings ($50-$200)25.1M rows
Moderately priced tickets between $50 and $200. Most common price segment.
Multi-Ticket Listings48.9M rows
Listings with more than one ticket. Used for group purchase and inventory bundle analysis.
Okay Deal Listings (Bucket 3)3.9M rows
Listings in the Okay deal bucket. Standard value segment.
Open Marketplace Listings272.6K rows
Listings from the open marketplace. Used for seller source and marketplace composition analysis.
Premium Listings ($200+)20.9M rows
High-end tickets priced $200 and above. Premium seating and luxury market segment.
Shipped Ticket Listings130K rows
Listings with physical shipped delivery. Used for delivery mix and fulfillment research.
Single Ticket Listings1.9M rows
Listings with exactly one ticket. Used for single-seat and availability analysis.
Two-Ticket Listings18.1M rows
Listings with exactly two tickets. Common for pair and couple purchases.
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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
505,789 added
Last 7 days
4,358,744 added
Last 28 days
12,169,532 added

Data Distribution

Marketplace
5 unique
exchange59,920,419
marketplace768,396
open414,476
open_marketplace274,582
fan_to_fan31,002
Delivery Type
4 unique
electronic47,094,436
sg_app14,130,758
shipped183,138
local543

Data Schema

This entity has 19 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
dealBucket
Type
number
Fill Rate
100%
Unique
8
Description
Deal quality bucket: 0=Amazing, 1=Great, 2=Good, 3=Okay, 4-6=Price tiers, 7=Other
Field
dealScorePremium
Type
number
Fill Rate
99.3%
Unique
11
Description
Deal quality score 0-10, higher=better value
Field
deliveryType
Type
text
Fill Rate
100%
Unique
4
Description
Ticket delivery method: electronic, sg_app, shipped, local
Field
eventId
Type
text
Fill Rate
100%
Unique
>1k
Description
Event ID this listing belongs to (join with seatgeek_events)
Field
feePremium
Type
number
Fill Rate
100%
Unique
947
Description
Fee amount in dollars
Field
inHandDate
Type
datetime
Fill Rate
97.4%
Unique
—
Description
Date when tickets will be in hand for delivery
Field
listingId
Type
text
Fill Rate
100%
Unique
>1k
Description
Unique listing ID (e.g., qVjH2vAdbzA, 05VT8679aVX)
Field
marketplace
Type
text
Fill Rate
100%
Unique
3
Description
Ticket marketplace/seller: exchange, open_marketplace, marketplace, open, fan_to_fan
Field
pricePremium
Type
number
Fill Rate
100%
Unique
>1k
Description
Ticket price in dollars before fees
Field
priceWithFeesPremium
Type
number
Fill Rate
100%
Unique
>1k
Description
Total ticket price in dollars with fees
Field
quantity
Type
number
Fill Rate
100%
Unique
32
Description
Number of tickets available in this listing, typically 1-20
Field
row
Type
text
Fill Rate
100%
Unique
518
Description
Row within section - can be numeric (1-50+) or letter (a-z, w, h)
Field
seats
Type
array
Fill Rate
25.1%
Unique
—
Description
Specific seat numbers if assigned, empty array if GA/unassigned
Field
section
Type
text
Fill Rate
100%
Unique
>1k
Description
Section name/number (e.g., 101, 506WC, C129)
Field
sectionFull
Type
text
Fill Rate
100%
Unique
>1k
Description
Full section name including tier/level (e.g., Section 101, Club 129, Section 506 WC)
Field
splitType
Type
text
Fill Rate
100%
Unique
120
Description
How tickets can be split - comma-separated quantities (e.g., "2", "1,2,4")

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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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