Pricing

from $50.00 / 1,000 results

App Store Reviews Analyzer

Turn hundreds of App Store reviews into a clear report: satisfaction, top praises & complaints, aspect ratings, most-requested features, competitor comparison, recommendations, and a PDF.

Pricing

from $50.00 / 1,000 results

Rating

0.0

(0)

Developer

ReviewLens

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

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.

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).

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.

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