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App Review Analysis Dataset: 600 Written Reviews

Six hundred newest reviews of one social app that actually say something, star-only ratings dropped before billing: the text is the input, the rating is the label, and app_version, thumbs_up and review_day are the covariates - enough to tie a sentiment shift to a release, or to weight by how many users endorsed a complaint. English only. Cost: 600 review rows at $0.004 = at most $2.40 a run.

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Google Play Reviews Scraper — Android App Reviews & Ratings
Google Play Reviews Scraper — Android App Reviews & Ratingskestrel/google-play-reviews-scraper
Review id
App id
App name
Language
+10 fields
Text
Number
Boolean
List
Object

Input

Package names:com.instagram.android
Max reviews per app, language and country:600
Only reviews with written text:true
Languages:en

Output fields

Review id
App id
App name
Language
Country
Rating
Text
Author
Thumbs up
App version
Review date
Reply text
Reply date
Url

How it works

Sign up on Apify or log in

The Google Play Reviews Scraper — Android App Reviews & Ratings Actor is ready to run with the inputs already set for "App Review Analysis Dataset: 600 Written Reviews". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "App Review Analysis Dataset: 600 Written Reviews" task

The Google Play Reviews Scraper — Android App Reviews & Ratings Actor will start running based on the input automatically. You can also change all the input fields, like package names, max reviews per app, language and country, and more, to match your specific use case.

Receive the "App Review Analysis Dataset: 600 Written Reviews" 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 review id, app id, app name, 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 Review Analysis Dataset: 600 Written Reviews" task via API.

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