Play Store Apps
- kaggle.com
Updated Sep 16, 2022
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EmailClick to copy linkLink copiedCiteAman Chauhan (2022). Play Store Apps [Dataset]. https://www.kaggle.com/datasets/whenamancodes/play-store-appsCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedSep 16, 2022AuthorsAman ChauhanLicenseAttribution-ShareAlike 3.0 (CC BY-SA 3.0)https://creativecommons.org/licenses/by-sa/3.0/
License information was derived automaticallyDescriptionWhile many public datasets (on Kaggle and the like) provide Apple App Store data, there are not many counterpart datasets available for Google Play Store apps anywhere on the web. On digging deeper, I found out that iTunes App Store page deploys a nicely indexed appendix-like structure to allow for simple and easy web scraping. On the other hand, Google Play Store uses sophisticated modern-day techniques (like dynamic page load) using JQuery making scraping more challenging.
Each app (row) has values for catergory, rating, size, and more.
The Play Store apps data has enormous potential to drive app-making businesses to success. Actionable insights can be drawn for developers to work on and capture the Android market!
googleplaystore.csv
Columns Description App Application name Category Category the app belongs to Ratings Overall user rating of the app (as when scraped) Reviews Number of user reviews for the app (as when scraped) Size Size of the app (as when scraped) Installs Number of user downloads/installs for the app (as when scraped) Type Paid or Free Price Price of the app (as when scraped) Content Rating Age group the app is targeted at - Children / Mature 21+ / Adult Genre An app can belong to multiple genres (apart from its main category). For eg, a musical family game will belong to Current Ver Current version of the app available on Play Store (as when scraped) Android Ver Min required Android version (as when scraped) googleplaystore_user_reviews.csv
Columns Description App Name of app Translated Reviews User review (Preprocessed and translated to English) Sentiment Positive/Negative/Neutral (Preprocessed) Sentiment_polarity Sentiment polarity score Sentiment_subjectivity Sentiment subjectivity score More - Find More Exciting🙀 Datasets Here - An Upvote👍 A Dayᕙ(`▿´)ᕗ , Keeps Aman Hurray Hurray..... ٩(˘◡˘)۶Haha
Google Play Store Apps
- kaggle.com
zipUpdated Feb 3, 2019ShareFacebookTwitterEmailClick to copy linkLink copiedCiteLavanya (2019). Google Play Store Apps [Dataset]. https://www.kaggle.com/lava18/google-play-store-appszip(2037893 bytes)Available download formatsDataset updatedFeb 3, 2019AuthorsLavanyaDescriptionContext
While many public datasets (on Kaggle and the like) provide Apple App Store data, there are not many counterpart datasets available for Google Play Store apps anywhere on the web. On digging deeper, I found out that iTunes App Store page deploys a nicely indexed appendix-like structure to allow for simple and easy web scraping. On the other hand, Google Play Store uses sophisticated modern-day techniques (like dynamic page load) using JQuery making scraping more challenging.
Content
Each app (row) has values for catergory, rating, size, and more.
Acknowledgements
This information is scraped from the Google Play Store. This app information would not be available without it.
Inspiration
The Play Store apps data has enormous potential to drive app-making businesses to success. Actionable insights can be drawn for developers to work on and capture the Android market!
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FacebookTwitterEmailAttribution-ShareAlike 3.0 (CC BY-SA 3.0)https://creativecommons.org/licenses/by-sa/3.0/
License information was derived automatically
While many public datasets (on Kaggle and the like) provide Apple App Store data, there are not many counterpart datasets available for Google Play Store apps anywhere on the web. On digging deeper, I found out that iTunes App Store page deploys a nicely indexed appendix-like structure to allow for simple and easy web scraping. On the other hand, Google Play Store uses sophisticated modern-day techniques (like dynamic page load) using JQuery making scraping more challenging.
Each app (row) has values for catergory, rating, size, and more.
The Play Store apps data has enormous potential to drive app-making businesses to success. Actionable insights can be drawn for developers to work on and capture the Android market!
googleplaystore.csv
| Columns | Description |
|---|---|
| App | Application name |
| Category | Category the app belongs to |
| Ratings | Overall user rating of the app (as when scraped) |
| Reviews | Number of user reviews for the app (as when scraped) |
| Size | Size of the app (as when scraped) |
| Installs | Number of user downloads/installs for the app (as when scraped) |
| Type | Paid or Free |
| Price | Price of the app (as when scraped) |
| Content Rating | Age group the app is targeted at - Children / Mature 21+ / Adult |
| Genre | An app can belong to multiple genres (apart from its main category). For eg, a musical family game will belong to |
| Current Ver | Current version of the app available on Play Store (as when scraped) |
| Android Ver | Min required Android version (as when scraped) |
googleplaystore_user_reviews.csv
| Columns | Description |
|---|---|
| App | Name of app |
| Translated Reviews | User review (Preprocessed and translated to English) |
| Sentiment | Positive/Negative/Neutral (Preprocessed) |
| Sentiment_polarity | Sentiment polarity score |
| Sentiment_subjectivity | Sentiment subjectivity score |
More - Find More Exciting🙀 Datasets Here - An Upvote👍 A Dayᕙ(`▿´)ᕗ , Keeps Aman Hurray Hurray..... ٩(˘◡˘)۶Haha