Daily Price History

Daily SeatGeek ticket price history per event and section: one row per event, section and UTC day with listing counts, all-in and before-fee price quartiles, and day-over-day listing changes, built from the last complete crawl of each day.

37,439,082 records
35 fields
Updated a day ago
Data: 4 months ago — a day ago
date zone crawls eventId section tickets dayState category currency listings minPrice p25Price p75Price maxPrice truncated eventName

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Daily event-level prices for basketball events over the last 30 days, with all-in and before-fee minimums.
Event Prices: Last 30 Days58.6K rowsFeatured
One row per event and day for the last 30 days, with listing counts and all-in price quartiles from the day's last complete crawl. Days without a listing crawl are left out.
Event-level prices for each of the last 7 days before the event, for events in the last 90 days. Shows how prices moved into the event.
Daily event-level prices for hockey events over the last 30 days, with all-in and before-fee minimums.
Event-level price on the day exactly 30 days before the event, for days in the last 90 days. A fixed point on the price curve for comparing events.
Apply custom filters, sorting, and field selection to get exactly the data you need.

How SeatGeek Prices Move Before the Event

Each event's prices are shown as a percentage of the same event's prices 30 days before it, so events at any price level line up. Lines show the typical event (the median across events); the band covers the middle half of events. Based on 1,764 events with a complete listing crawl 30 days out.

On the event day, the typical event's cheapest ticket was listed at 79% of its price 30 days before (middle half of events: 60%–100%), and its median listing at 79%.

Cheapest ticket, typical eventCheapest ticket, middle half of eventsMedian listing price, typical event
Show the numbers
DayEventsCheapest ticketMiddle halfMedian listingMiddle half
60 days before1,055107.4%97.3%–125.2%100.0%89.8%–111.7%
59 days before1,031105.9%95.7%–123.1%100.0%90.5%–111.5%
58 days before1,034105.3%96.2%–122.2%100.0%91.1%–111.2%
57 days before1,045105.3%95.2%–123.1%100.0%90.9%–110.5%
56 days before1,132104.5%94.6%–119.5%100.0%90.8%–109.9%
55 days before1,121105.0%95.9%–120.9%100.3%92.0%–110.9%
54 days before1,154104.4%94.6%–119.2%100.0%91.9%–110.3%
53 days before1,176104.3%94.7%–118.8%100.1%92.4%–110.3%
52 days before1,184103.4%94.6%–116.6%100.3%92.5%–110.1%
51 days before1,200102.9%94.4%–115.9%100.0%92.3%–109.1%
50 days before1,204102.7%94.9%–115.4%100.2%92.4%–109.1%
49 days before1,280102.7%95.0%–115.4%100.0%92.8%–109.3%
48 days before1,287102.7%94.7%–115.0%100.3%92.9%–109.3%
47 days before1,292102.8%95.4%–115.0%100.0%93.9%–108.8%
46 days before1,310102.3%95.8%–114.3%100.0%92.9%–107.8%
45 days before1,339102.2%95.7%–112.7%100.0%93.4%–107.0%
44 days before1,389101.2%95.7%–112.4%100.0%94.4%–107.6%
43 days before1,349101.9%95.9%–111.7%100.0%93.8%–107.2%
42 days before1,419100.4%95.8%–110.8%100.0%94.4%–106.4%
41 days before1,414100.3%96.1%–109.7%100.0%94.4%–106.2%
40 days before1,399100.2%96.2%–108.8%100.0%94.6%–106.1%
39 days before1,431100.0%96.2%–108.4%100.0%94.7%–105.1%
38 days before1,475100.0%96.6%–108.4%100.0%94.7%–105.3%
37 days before1,508100.0%97.2%–107.6%100.0%94.7%–104.7%
36 days before1,526100.0%97.5%–106.7%100.0%94.9%–104.1%
35 days before1,558100.0%98.2%–105.9%100.0%95.5%–103.3%
34 days before1,546100.0%98.9%–105.2%100.0%96.5%–103.0%
33 days before1,571100.0%99.5%–103.6%100.0%97.0%–102.2%
32 days before1,592100.0%100.0%–101.3%100.0%97.7%–101.3%
31 days before1,616100.0%100.0%–100.0%100.0%98.5%–100.5%
30 days before1,764100.0%100.0%–100.0%100.0%100.0%–100.0%
29 days before1,736100.0%100.0%–100.0%100.0%99.2%–101.3%
28 days before1,723100.0%98.1%–100.0%100.0%98.3%–102.1%
27 days before1,690100.0%96.8%–101.1%100.0%97.7%–102.8%
26 days before1,667100.0%95.0%–101.4%100.0%96.3%–103.0%
25 days before1,648100.0%93.7%–101.7%100.0%95.9%–103.5%
24 days before1,639100.0%92.8%–102.2%100.0%95.2%–104.0%
23 days before1,623100.0%91.3%–103.1%100.0%94.4%–104.1%
22 days before1,59299.8%90.4%–103.8%100.0%93.7%–104.5%
21 days before1,58599.3%90.0%–104.0%99.7%92.9%–104.5%
20 days before1,55099.2%89.2%–104.3%99.3%92.1%–104.7%
19 days before1,53898.3%87.9%–104.5%99.0%91.4%–104.9%
18 days before1,52297.9%87.1%–104.4%98.5%90.2%–105.2%
17 days before1,50297.8%86.2%–105.0%98.5%89.7%–105.4%
16 days before1,46896.9%85.6%–105.2%98.3%89.3%–106.0%
15 days before1,45996.8%84.3%–105.3%98.2%88.4%–106.4%
14 days before1,44796.1%83.2%–105.1%97.6%87.2%–105.9%
13 days before1,40995.5%82.1%–105.9%97.5%86.4%–106.1%
12 days before1,39195.5%81.3%–105.8%97.1%85.6%–106.1%
11 days before1,37093.8%79.7%–105.6%96.3%84.6%–106.2%
10 days before1,35193.3%79.2%–105.8%95.4%83.4%–105.7%
9 days before1,33292.3%77.6%–105.8%94.9%82.6%–105.5%
8 days before1,31791.1%76.5%–104.6%94.4%81.7%–104.5%
7 days before1,30491.0%75.8%–104.1%93.1%80.9%–104.8%
6 days before1,26790.4%74.8%–104.5%93.1%79.7%–105.4%
5 days before1,24189.4%73.4%–105.3%91.6%78.6%–105.2%
4 days before1,21886.9%70.8%–103.6%89.9%76.8%–104.8%
3 days before1,19485.1%69.0%–100.9%91.0%76.4%–107.0%
2 days before1,17383.2%67.2%–100.6%89.0%73.7%–104.8%
1 day before1,14681.3%64.8%–100.9%84.4%68.4%–103.0%
Event day74178.6%59.8%–100.0%78.7%61.9%–97.9%

Listed asking prices from daily crawls, not sale prices. An event counts on a day only when that day has a complete listing crawl, and days seen for fewer than 50 events are left out.

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
381,167 added
Last 7 days
2,654,955 added
Last 28 days
37,439,082 added

Data Distribution

Event-Days by Day State
3 unique
observed388,560
unknown45,625
empty110
Event-Days by Category
4 unique
hockey140,610
basketball98,502
baseball48,369
football28,658
Top Cities (Event-Days)
92 unique
Chicago12,787
Los Angeles10,609
Philadelphia10,247
Boston9,870
Denver9,860
Detroit9,666
Washington8,814
Toronto8,792
New York7,819
Salt Lake City7,699

Data Schema

This entity has 35 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
_builtAt
Type
datetime
Fill Rate
—
Unique
—
Description
When this row was built (UTC). A day is built once and then kept unchanged
Field
category
Type
text
Fill Rate
77.3%
Unique
1
Description
Event sub-category from the SeatGeek taxonomy (basketball, hockey, football, baseball), or the top-level taxonomy name when there is no sub-category
Field
crawls
Type
number
Fill Rate
100%
Unique
7
Description
Complete crawls of the event that day (SeatGeek sometimes has two; 0 when dayState is unknown). The values in this row come from the last one
Field
currency
Type
text
Fill Rate
0%
Unique
0
Description
Always empty for SeatGeek. All SeatGeek prices are in US dollars
Field
date
Type
datetime
Fill Rate
100%
Unique
—
Description
UTC day the row describes (e.g., 2026-10-09). Values come from the last complete crawl of the event on that day
Field
dayState
Type
text
Fill Rate
100%
Unique
2
Description
What was seen that day: observed = a complete crawl with at least one listing; empty = a complete crawl with no listings; unknown = no complete crawl that day, so the counts and prices are not known (it does not mean the event had no listings)
Field
daysToEvent
Type
number
Fill Rate
77.3%
Unique
72
Description
Whole days from this row's date to the event start date (0 on the event day, negative after it). Use it to line up events by days before the event
Field
eventId
Type
text
Fill Rate
100%
Unique
29
Description
SeatGeek event ID (matches eventId in the Events entity)
Field
eventInfoSource
Type
text
Fill Rate
77.3%
Unique
1
Description
Where the event name and date columns came from: events = the Events entity, empty = the event was missing from the Events entity when the day was built. SeatGeek has no fallback, so url is never used
Field
eventName
Type
text
Fill Rate
77.3%
Unique
13
Description
Event name (e.g., Boston Celtics at New York Knicks), taken from the Events entity when the day was built. When the event was missing there, the name is the performer or event name from the event page address in title case instead (see eventInfoSource)
Field
eventStartAt
Type
datetime
Fill Rate
77.3%
Unique
—
Description
Event start time (UTC)
Field
goneListings
Type
number
Fill Rate
88.5%
Unique
318
Description
Listings in the previous day's crawl that are not in this day's crawl (sold, withdrawn or relisted under a new ID). Empty unless both days are observed or empty
Field
listedTotal
Type
number
Fill Rate
0%
Unique
0
Description
Always empty for SeatGeek. Only StubHub ALL rows report a listing total
Field
listings
Type
number
Fill Rate
100%
Unique
590
Description
Distinct listings in the chosen crawl, within the section or across the event on ALL rows. 0 for empty and unknown days
Field
maxPricePremium
Type
number
Fill Rate
99.9%
Unique
>1k
Description
Highest listing price per ticket in dollars, all-in including fees
Field
medianPricePremium
Type
number
Fill Rate
99.9%
Unique
>1k
Description
Median listing price per ticket in dollars, all-in including fees, across listings
Field
medianPriceBeforeFeesPremium
Type
number
Fill Rate
99.9%
Unique
994
Description
Median listing price per ticket in dollars before fees across listings (SeatGeek price)
Field
minPricePremium
Type
number
Fill Rate
99.9%
Unique
>1k
Description
Lowest listing price per ticket in dollars, all-in including fees (SeatGeek priceWithFees)
Field
minPriceBeforeFeesPremium
Type
number
Fill Rate
99.9%
Unique
893
Description
Lowest listing price per ticket in dollars before fees (SeatGeek price)
Field
newListings
Type
number
Fill Rate
88.5%
Unique
307
Description
Listings in this day's crawl that were not in the previous day's crawl. Empty unless both days are observed or empty
Field
p25PricePremium
Type
number
Fill Rate
99.9%
Unique
>1k
Description
Lower quartile (25th percentile) of the listing prices, all-in including fees, across listings
Field
p75PricePremium
Type
number
Fill Rate
99.9%
Unique
>1k
Description
Upper quartile (75th percentile) of the listing prices, all-in including fees, across listings
Field
reportedAvgPricePremium
Type
number
Fill Rate
0%
Unique
0
Description
Always empty for SeatGeek. Only StubHub ALL rows carry the source's own price summary
Field
reportedMaxPricePremium
Type
number
Fill Rate
0%
Unique
0
Description
Always empty for SeatGeek. Only StubHub ALL rows carry the source's own price summary
Field
reportedMinPricePremium
Type
number
Fill Rate
0%
Unique
0
Description
Always empty for SeatGeek. Only StubHub ALL rows carry the source's own price summary
Field
section
Type
text
Fill Rate
100%
Unique
>1k
Description
Listing section as shown by SeatGeek (e.g., 114), or ALL for the event-level row that covers every section. Select ALL for one row per event and day
Field
tickets
Type
number
Fill Rate
99.9%
Unique
982
Description
Total tickets available across those listings (sum of SeatGeek quantity). Empty on unknown days
Field
ticketsSoldSameListing
Type
number
Fill Rate
88.5%
Unique
143
Description
Sum of ticket-quantity drops on listings present on both days. A drop can be a sale or a seller edit, so treat it as an upper-bound signal, not a confirmed sales count. Empty unless both days are observed or empty
Field
truncated
Type
boolean
Fill Rate
100%
Unique
—
Description
Always false for SeatGeek, where one response is one complete crawl. Only StubHub crawls can be cut short
Field
venueCity
Type
text
Fill Rate
77.3%
Unique
7
Description
Venue city (e.g., New York)
Field
venueName
Type
text
Fill Rate
77.3%
Unique
7
Description
Venue name (e.g., Madison Square Garden), taken from the Venues entity when the day was built
Field
zone
Type
text
Fill Rate
0%
Unique
0
Description
Always empty for SeatGeek, which does not report a ticket class. Only StubHub rows fill it

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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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