App Store Review Analyzer: Feature Roadmap

Apple App Store Reviews Scraper — App Reviews & Ratings

kestrel/app-store-reviews-scraper

Apple App Store reviews for any iOS app, across every country storefront in one run: 1-5 rating, title, review text, reviewer, app version, date and the developer's reply. Give app ids, App Store URLs or app names. Filters bill only the reviews you keep. Pay per review.

Google Play Store App Reviews Scraper

datascrapers/playstore-app-reviews

Scrape Google Play Store app reviews by app ID or Play Store URL. Supports multiple apps, sorting, score filters, language/country, and maxItems.

Compare imported customer-feedback records by brand to surface recurring complaints, strengths and product gaps with traceable evidence. Supports mixed review datasets and explicit brand labels.

Export Apple App Store reviews for any iPhone or iPad app: rating, title, review text, app version, helpful votes and date, from one or many countries. Clean fields, no reviewer data.

For product managers and app-store-optimisation analysts: pull Apple App Store customer reviews by app and country, with star rating, title, text, version, date, and the public reviewer display name, as one row per review.

Extract recent public Apple App Store customer reviews with ratings, text, app versions, dates, storefronts, and stable review IDs.

Scrape Apple App Store reviews for any iPhone or iPad app, in any country, without an App Store Connect account. Get rating, title, text, app version, author name, votes and date. Sort by most recent or most helpful, filter by date, or monitor apps for new reviews only.

Re-check PyPI packages you already depend on for a new version. Official JSON API. No download of wheels.

Re-check public GitHub repositories you already watch for a new latest release tag. Official GitHub API. No private repos, no clone.

Compare supplied App Store review cohorts by version or date. Get rule-assisted issue triage, rating changes and supporting review evidence. No direct scraping.