App Review Intelligence (App Store + Google Play)

Stop reading thousands of app reviews by hand. Get the themes, bugs and feature requests — across BOTH stores — in one AI report.

Give it an app on the Apple App Store and/or Google Play. It pulls the recent reviews from both, then uses OpenAI to cluster them into the themes that actually matter — praises, complaints, feature requests and bugs — each with representative quotes, a suggested action, sentiment, and overall rating stats. One combined, cross-platform report.

Most review scrapers dump raw reviews from a single store. This one does both platforms in one product and ships the insight, not the raw pile.

Quick start

1. Fill in the input — set the fields in the input tab (prefilled with a working example).
2. Click Start — the Actor runs and writes one record per item to the dataset.
3. Get your data — export to JSON, CSV or Excel, or pull it via the API.

// input
{ "appStore": "310633997", "googlePlay": "com.whatsapp", "country": "us", "maxReviewsPerPlatform": 150 }

// per-theme output
{
  "title": "App crashes after the latest update",
  "type": "bug",
  "share": 18,
  "sentiment": "negative",
  "representativeQuotes": ["Keeps crashing since the update", "Won't open on my phone anymore"],
  "suggestedAction": "Investigate the crash introduced in the latest release; prioritise a hotfix."
}

Plus a run SUMMARY: averageRating, ratingDistribution, overallSentiment, summary, topBugs, topFeatureRequests, per-platform review counts.

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Use cases

• Product teams — turn weeks of review-reading into a prioritised theme list with suggested actions, every sprint.
• Competitive research — profile a competitor's app: what users love, hate and ask for.
• Pre-launch / due diligence — assess an app's real user sentiment and top issues fast.
• Agent tool — via the Apify MCP server, an agent can summarise any app's reviews on demand.

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Input

Field	Type	Default	Description
appStore	string	—	App Store numeric id or URL.
googlePlay	string	—	Google Play package name or URL.
country	string	us	Store country code.
maxReviewsPerPlatform	integer	150	Recent reviews to fetch per platform.
model	string	gpt-4o-mini	OpenAI model.

Provide at least one of appStore / googlePlay. Give both to get a true cross-platform picture.

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Output

One dataset record per theme (title, type, share, sentiment, representativeQuotes[], suggestedAction), plus the overall report in the run SUMMARY.

Pricing

Pay-per-event: one app-analyzed event per app analysed (fetches + clusters reviews across both stores).

Environment variables

Variable	Required	Purpose
OPENAI_API_KEY	Yes	Powers the theme clustering.

Notes

• Reviews come from the public App Store and Google Play endpoints. Each platform fails independently — if one is unavailable, the report is built from the other.
• Fetch more reviews for deeper themes; the model samples the most recent reviews up to a token budget.

License

ISC.

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• Google Reviews Insights (AI) — Turns Google reviews into concrete insights for a business and its competitors: top
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