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App store reviews dataset from Google Play and Apple

Build an app reviews dataset from both stores in one run. Apple App Store and Google Play reviews share the same fields (rating, text, version, date, helpful votes, country, language), so they load into one table for NLP, topic modeling or market research. Add more apps and raise the limit for a bigger sample.

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App Store & Google Play Reviews Scraper - Many Countries
App Store & Google Play Reviews Scraper - Many Countrieskalilfagundes.w/app-reviews-scraper
Store
App
Rating
Title
+9 fields
Text
Number
Boolean
List
Object

Input

Apps(required):https://apps.apple.com/us/app/spotify-music-and-podcasts/id324684580+1
Sort order:newest
Max reviews per app:150
App details row (includeAppDetails):true

Output fields

Store
App
Rating
Title
Review
Author
Date
App version
Helpful votes
Developer reply
Link
Error type
Error

How it works

Sign up on Apify or log in

The App Store & Google Play Reviews Scraper - Many Countries Actor is ready to run with the inputs already set for "App store reviews dataset from Google Play and Apple". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "App store reviews dataset from Google Play and Apple" task

The App Store & Google Play Reviews Scraper - Many Countries Actor will start running based on the input automatically. You can also change all the input fields, like apps, sort order, and more, to match your specific use case.

Receive the "App store reviews dataset from Google Play and Apple" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as store, app, rating, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "App store reviews dataset from Google Play and Apple" task via API.

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