App Review Intelligence — Bugs & Churn Signals

Turn public Google Play and Apple App Store reviews into product intelligence.

Instead of exporting hundreds of reviews and reading them manually, get one app-level report that surfaces recurring bugs, feature requests, churn risk, release regressions, competitor mentions, app health, and prioritized product actions.

What you get

• recurring bug / pain-point clusters
• severity and review evidence
• feature-request themes
• churn / switching signals
• rating trend
• latest-version regression risk
• competitor keywords you choose to monitor
• custom watch keywords
• rating distribution
• 0–100 app health score
• prioritized recommended actions

Why this is different from a review scraper

A review scraper answers:

What did users write?

This Actor is built for app review analysis, bug detection, churn analysis, feature-request analysis, mobile product research, and release triage.

It answers:

What is repeatedly going wrong, how serious does it look, and what should the product team investigate next?

The analysis is deterministic and evidence-backed. No external AI key is required.

Supported stores

• Google Play
• Apple App Store

Each app × country storefront produces one intelligence report.

Example input

{
  "targets": [
    "com.spotify.music",
    "https://apps.apple.com/us/app/notion/id1232780281"
  ],
  "countries": ["us"],
  "maxReviewsPerApp": 200,
  "lookbackDays": 90,
  "minIssueMentions": 2,
  "competitorKeywords": ["YouTube Music", "Apple Music"],
  "watchKeywords": ["offline", "subscription", "crash"],
  "includeEvidence": true
}

Best for

Product managers, mobile developers, QA teams, ASO / reputation monitoring, agencies, founders, investors, and scheduled app-health monitoring.

Limits

Store feeds expose recent public review windows rather than guaranteed full historical archives. Keyword classifications can miss sarcasm, synonyms, or language variants, so use evidence snippets when validating important product decisions.