Dataset MarketplaceOtherGoogle Play Store

Google Play Store

Use our Google Play Store dataset to explore detailed information about apps, including ratings, descriptions, updates, and developer details. Popular use cases include app performance analysis, market research, and consumer behavior insights. Use it for enrichment, market research, and lead generation — sample the fields free, then pull the records you need on demand.
play.google.com Public web data Monthly refresh
Data-fields
26
Total records
91.79M
Price
up to $0.005/record
Min order
$350
Data sample
Description
Statistics
Dictionary
Related
Data sample
urltitleratingwhat_newdb_sourcedevelopertimestampnumber_of_reviews
https://play.google.com/store/books/details/Cudowny_obraz_Matki_BoskieCudowny obraz Matki Boskiej starowrejskiej w ziemi sanockiej1784604130869Wal***an ***wiń******2026-07-21
https://play.google.com/store/books/details/Lumber_Value_Loss_AssociatLumber Value Loss Associated with Tapping Sugar Maples for Sap Product1784604130869Pau***. S***ak2026-07-21
https://play.google.com/store/books/details/Gotham_by_Midnight_2014_12Gotham by Midnight (2014-) #1217846041308692026-07-21
https://play.google.com/store/apps/details/Legal_Geek?id=com.swapcard.Legal Geek1784604130869Leg***Gee***2026-07-21
https://play.google.com/store/apps/details/CTBC_Global_Campus?id=com.cCTBC Global Campus已完成部分修正1784604130869CTB***USI***S S******2026-07-21
https://play.google.com/store/tv/show/Tatort_Duisburg?cdid=tvseason-BfTatort Duisburg17846041308692026-07-21
https://play.google.com/store/books/details/Die_Kreutzersonate_Band_58Die Kreutzersonate: Band 5817846041308692026-07-21
https://play.google.com/store/books/details/Bulla_contra_errores_MartiBulla contra errores Martini Lutheri et sequarium (1520).1784604130869Leo***(Pa***2026-07-21
https://play.google.com/store/books/details/%D0%A1%D0%BE%D0%BA%D1%80%DСокращенный катихизис для обучения юношества Православному закону хрис17846041308692026-07-21
https://play.google.com/store/books/details/Anecdotes_Chinoises_JaponoAnecdotes Chinoises, Japonoises, Siamoises, Tonquinoises etc1784604130869Jea***ast***on2026-07-21
https://play.google.com/store/books/details/Hospital_Reimbursement_SysHospital Reimbursement Systems Used by Private Third-party Payors: Hea1784604130869Uni*** St***s. ********* Se*********************nan*******************2026-07-21
https://play.google.com/store/movies/details/Paso_a_paso?id=pxTF_VZSvuPaso a paso517846041308692026-07-21
Description
The Google Play Store dataset standardizes play.google.com data into analysis-ready fields: url, title, developer, monetization_features, images, about, data_safety, rating, and more. Use our Google Play Store dataset to explore detailed information about apps, including ratings, descriptions, updates, and developer details. Popular use cases include app performance analysis, market research, and consumer behavior insights. Common uses include enrichment, lead generation, market and competitor research, and feeding downstream AI models. 91.79M records available, refreshed monthly, from $0.005 per record — minimum order $350. Preview a sample free before you buy.
Record updates over time
31,583
Last 7 days
20,529
7-30 days
9,475
30-90 days
2,527
90+ days
Data dictionary
Column nameDescriptionTypeFill rate
url Link to app on Google Play Url
100%
title App name Text
99.98%
developer Creator/maintainer Text
24.03%
monetization_features Revenue model Array
100%
images Screenshots/promo visuals Array
99.97%
about App description Object
100%
data_safety Privacy/security details Object
100%
rating User satisfaction score Number
72.23%
number_of_reviews User comments Number
69.11%
star_reviews Distribution of user ratings Object
40.92%
reviews Detailed user reviews Array
9.16%
what_new Recent updates/features Text
4.99%
more_by_this_developer Other apps from the same developer Array
62.7%
content_rating Suitable age group Text
11.13%
downloads Total installs Number
10.02%
play_on_pc Compatibility on PC Array
0.05%
minimum_requirements Minimum device specs Object
1.15%
country The country where the collection was performed Text
73.28%
app_category not in missing Text
13.5%
id App play store ID Text
31.6%
version App's last version Text
30.1%
app_icon App icon Url
4.91%
price price Number
0.1%
currency currency Text
4.91%
developer_email The app developer email Text
4.91%
timestamp Date
%