App Store Reviews Scraper & Insights: Ratings, Complaints
Pricing
Pay per event
App Store Reviews Scraper & Insights: Ratings, Complaints
Pull iOS App Store reviews from Apple's official public feeds for any app in up to 50+ countries and get a ready-made insight report: rating distribution, rating by app version, monthly trend, top complaint themes and the most-mentioned words in 1–2★ reviews. No login, no proxies.
Pricing
Pay per event
Rating
0.0
(0)
Developer
TanLabs
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
5 hours ago
Last modified
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App Store Reviews Scraper & Insights
Turn iOS App Store reviews into a decision-ready report in one run: what users complain about, which app version hurt ratings, and how sentiment moves month to month, for your app or any competitor, in as many countries as you like.
Data comes only from Apple's official public endpoints (the customer-reviews RSS feed and the iTunes Lookup API). No login, no cookies, no proxies, no scraping of private pages.
What you get
For every app × country, one summary row:
| Field | Meaning |
|---|---|
appName, developer, genre, price, currentVersion | From Apple's Lookup API |
storeAverageRating, storeRatingCount | Apple's overall rating |
reviewsFetched, fetchedAverageRating | Rating of the most recent reviews (up to 500 per country, Apple's limit) |
ratingDistribution, negativeShare | 1–5★ counts and the share of 1–2★ |
ratingByVersion | Average rating per app version: spot the release that broke things |
ratingByMonth | Monthly trend |
complaintThemes | Crashes/bugs, login/account, pricing/subscription, ads, performance, sync/data loss, bad update/UI, support, notifications, with counts, share and an example quote |
topNegativeTerms, topNegativePhrases | Most frequent words and two-word phrases in 1–2★ reviews |
mostHelpfulNegative | The 3 most up-voted critical reviews |
Optionally every individual review as its own row (type: "review"): id, title, text, rating, version, author, date, votes.
Use cases
- Competitor research before building an app: find the pain points users already pay to escape.
- Product teams: catch a bad release within days, by version.
- Agencies / ASO: monthly review reports for clients across countries.
- AI agents (via Apify MCP server): give an LLM a compact, structured review digest instead of raw text.
Input
Pricing (pay per event)
- App report: one per app × country summary.
- Review: per individual review row (only when
includeReviewsis on).
Turn includeReviews off to pay only for summaries.
Limits
Apple's public feed exposes at most the ~500 most recent reviews per app per country. Older history is not available from Apple publicly, so this Actor does not claim it.
Support
Open an issue on the Actor's Issues tab. Built by TanLabs.
