App Store Review Miner — AI Bugs & Feature Requests
Under maintenancePricing
$50.00 / 1,000 app analyseds
App Store Review Miner — AI Bugs & Feature Requests
Under maintenanceMine Apple App Store and Google Play reviews for real bugs, feature requests, and sentiment. One AI call turns raw reviews into a structured, agent-ready summary — no anti-bot risk, official/public data sources only.
Pricing
$50.00 / 1,000 app analyseds
Rating
0.0
(0)
Developer
Nathan Carter
Maintained by CommunityActor stats
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2
Total users
1
Monthly active users
15 hours ago
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Turn Apple App Store and Google Play reviews into a structured bug/feature-request report in one run. No raw review dump to read through — one AI call per app turns dozens (or hundreds) of reviews into the handful of things that actually matter: what's broken, what users are asking for, and how urgent it is.
Why this instead of a raw review scraper
The Apify Store already has several App Store/Play Store review scrapers doing large volumes at raw-data pricing (~$0.10 per 1,000 reviews). That's fine if you want a CSV of review text — it's not useful if you actually want to know what to fix next. This actor does the analysis, not just the extraction:
- Top bugs — the specific, recurring technical issues users are hitting, most-frequent first
- Top feature requests — what users are explicitly asking for
- Critical issues — anything that sounds urgent (crashes, data loss, billing problems, can't log in)
- Competitor mentions — when reviewers name a competitor or say they're switching away
- Sentiment summary — what's actually driving the rating, in plain English
Input
| Field | Description |
|---|---|
appleAppIds | Numeric Apple App Store IDs, e.g. "324684580" (found in the App Store URL) |
appleCountry | App Store storefront, e.g. "us", "gb" |
googlePlayIds | Google Play package names, e.g. "com.spotify.music" |
maxReviewsPerApp | Reviews to fetch per app per source (default 100, free trial capped at 8 apps total) |
includeRawReviews | Include individual review records alongside the AI synthesis (off by default — output stays compact) |
anthropicApiKey / geminiApiKey | Optional — enables the AI synthesis step |
How it works
- Apple: fetches the official RSS customer-reviews feed (public, no auth, no blocking — plain HTTP)
- Google Play: parses the review data Google already embeds in the app page's HTML (no browser needed)
- Both sources feed into a single AI call per app that extracts bugs, feature requests, critical issues, competitor mentions, and sentiment
- One record per app, ready for a product/support team or downstream automation
Notes
- Both data sources are public/official — no scraping-detection risk, no CAPTCHAs, no proxies needed.
- Apple's RSS feed has a baseline ~30% cache-staleness rate on any given request (an Akamai CDN quirk, not a block) — the actor retries automatically, so this is invisible in normal use.
- Google Play returns the reviews visible on the app's page at fetch time (typically 20-40) — for a bug/feature-request sample, this is plenty; it isn't a full review-history export.
- AI is optional. Without a key, you still get review counts and average rating — just no synthesis.
