How to Scrape App Store and Google Play Reviews With Sentiment Analysis

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Extracting app reviews from the Apple App Store and Google Play involves two distinct challenges: collecting raw review text and then making sense of it at scale. Apple offers a public RSS feed that returns up to 500 recent reviews per country per app via a simple HTTP request, while Google Play has no documented public API and relies on an internal, undocumented RPC endpoint prone to breaking on frontend updates. Adding sentiment analysis on top of scraping requires a separate pipeline involving an LLM or NLP model, prompt tuning, and rate-limit management. Developers must weigh the ongoing maintenance cost of building and sustaining both layers against using pre-enriched third-party review data. The article outlines code examples and tradeoffs to help teams decide which approach fits their product feedback or competitive monitoring use case.

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