App Store Reviews Analyzer 📱

Stop reading hundreds of app reviews one by one. Type an app's name and get a clear, instant report about what users love, what they hate, and what they're asking for.

What you get

For every app you analyze, this tool produces:

• 📝 Smart summary — a clear, human-readable paragraph summarizing the app at a glance
• 🎯 Aspect ratings — separate scores for performance & stability, ease of use & design, features, ads & pricing, customer support, and updates
• 💡 Most-requested features — the features users keep asking for, auto-detected from review text
• 🧠 Text sentiment — sentiment read from the actual words of reviews (not just stars), catching nuance and sarcasm
• ⭐ Rating & satisfaction score — what % of users are happy
• 📈 Rating distribution & monthly trend — how ratings break down and how they're moving over time
• 👍 Top praises / 👎 Top complaints — what users mention most
• 💬 Highlight quotes — representative positive and negative reviews
• 🧭 Actionable recommendations — a prioritized to-do list of what to fix first
• 🏆 Competitor comparison — analyze your app + competitors side by side
• 📄 Printable PDF report — a polished, shareable PDF (download link in pdfReportUrl)

Perfect for app developers, product managers, and ASO/marketing teams who want to understand user feedback in seconds.

Why not just ask a chatbot?

A chatbot can't actually read the reviews — they sit behind the App Store's own delivery, so it sees a handful at best (or makes things up). This tool reliably pulls hundreds of real reviews per app and turns them into a structured, exportable, repeatable report.

How to use

• appNames: one or more app names, e.g. Spotify. Add 2+ to get a competitor comparison.
• country: App Store country code (e.g. us, gb, de).
• maxReviews: how many recent reviews to analyze per app (default 100).
• reviewsKeyword (optional): only analyze reviews mentioning these words (e.g. login, ads).
• reviewsSince (optional): only analyze reviews on or after a date (YYYY-MM-DD).

Example input

{
  "appNames": ["Spotify", "Apple Music"],
  "country": "us",
  "maxReviews": 100
}

Notes

• Review data is fetched through a trusted App Store reviews scraper, then analyzed by this tool.
• Sentiment is based on star ratings (language-independent), with extra text sentiment for English reviews. Themes are detected with multilingual support.