Build an Android reviews dataset for sentiment analysis
PulseData
Collects a large batch of reviews into one flat table with rating, text, date, version and thumbs-up count. No cleaning step is needed before feeding it into a sentiment model or an LLM classifier.
Input
Output fields
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The Google Play Reviews Scraper: All Reviews of Any App Actor is ready to run with the inputs already set for "Build an Android reviews dataset for sentiment analysis". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Build an Android reviews dataset for sentiment analysis" task
The Google Play Reviews Scraper: All Reviews of Any App Actor will start running based on the input automatically. You can also change all the input fields, like google play apps (urls or package names), max reviews per app, and more, to match your specific use case.
Receive the "Build an Android reviews dataset for sentiment analysis" 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 type, store, 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 Android reviews dataset for sentiment analysis" task via API.
Integrate "Build an Android reviews dataset for sentiment analysis" into your workflow
Connect "Build an Android reviews dataset for sentiment analysis" with 100+ integrations, or run it via API or MCP.
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