App Store Reviews Scraper
Pricing
$0.20 / 1,000 review delivereds
App Store Reviews Scraper
Download Apple App Store customer reviews (rating, title, text, version, author) for any app. Pay per review delivered — apps with no reviews are free.
Pricing
$0.20 / 1,000 review delivereds
Rating
0.0
(0)
Developer
Jeffrey Inman
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
4 days ago
Last modified
Categories
Share
Download Apple App Store customer reviews for any app — rating, title, full review text, app version, author, and date — in bulk, as clean JSON. No Apple developer account, no API key.
You pay per review delivered. An app with no reviews in that storefront, or a bad app id, costs $0.
Built for app teams watching their own ratings, competitors tracking rivals, and anyone mining reviews for product feedback or sentiment analysis.
Input
{"apps": ["https://apps.apple.com/us/app/instagram/id389801252","284882215"],"country": "us","maxReviews": 200,"sortBy": "mostRecent"}
apps— App Store URLs or bare numeric app ids.country— storefront code (us,gb,de,jp, …); reviews are per-country, so run several to go global.maxReviews— 1–500 per app (Apple's public feed caps around 500 most-recent).sortBy—mostRecentormostHelpful.
Output per review
{"appId": "389801252","appName": "Instagram","country": "us","rating": 1,"title": "Keeps crashing","body": "Latest update crashes when I open stories…","author": "user123","version": "448.0.0","updated": "2026-09-28T10:14:00-07:00"}
Apps with no reviews come back as { appId, error, errorType } and are not charged.
What people use it for
- App teams: monitor your own 1-star reviews and version-specific regressions
- Competitive research: pull a rival app's reviews to find what users love and hate
- Product & UX: feed reviews into sentiment analysis or an LLM for themes
- ASO: track rating trends across country storefronts
Use it from code
curl -s -X POST "https://api.apify.com/v2/acts/beacondata~app-store-reviews-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \-H "Content-Type: application/json" \-d '{"apps": ["389801252"], "country": "us", "maxReviews": 100}'
Works everywhere Apify does: REST API, scheduled runs, webhooks, the Apify MCP server (AI agents can call it as a tool), n8n, Make, Zapier.
Honest limitations
- Apple's public review feed returns up to ~500 most-recent reviews per app per country — not the full lifetime history. Run multiple
countrystorefronts to widen coverage. - This is the Apple App Store (iOS). Google Play is a separate store.
Automate it with n8n
A ready-made workflow pulls your week's reviews from BOTH stores every Monday and emails one digest — counts, average rating, and the negative reviews that need a reply. In n8n: Workflow → Import from URL:
https://inmanjeffrey89-cell.github.io/data-tools/workflows/t1-app-review-digest.json
No community nodes (plain HTTP Request) — works on n8n Cloud and self-hosted. More ready-made workflows.
Support
Found a bug or need a field added? Open an issue on the Issues tab — it's read daily and answered.