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Build an app review sentiment dataset

Collect normalized app reviews with rating-based sentiment labels from Apple App Store and Google Play for ML and analytics workflows.

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Mobile App Review Intelligence API
Mobile App Review Intelligence APIdobus/mobile-app-review-intelligence-api
Record type
Platform
App ID
Country
+14 fields
Text
Number
Boolean
List
Object

Input

Google Play app IDs:com.instagram.android
Maximum reviews per app:500
Apple App Store IDs:389801252
Languages:en
Include review text:true
Review sort:newest
Countries:us
Include app summaries:true

Output fields

Record type
Platform
App ID
Country
Language
App name
Developer
Rating
Sentiment
Review date
Review title
Review text
Average rating
Rating count
Review count
Store URL
Error code
Error

How it works

Sign up on Apify or log in

The Mobile App Review Intelligence API Actor is ready to run with the inputs already set for "Build an app review sentiment dataset". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Build an app review sentiment dataset" task

The Mobile App Review Intelligence API Actor will start running based on the input automatically. You can also change all the input fields, like google play app ids, maximum reviews per app, and more, to match your specific use case.

Receive the "Build an app review sentiment dataset" 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 record type, platform, app id, 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 "Build an app review sentiment dataset" task via API.

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