App Store Reviews Scraper avatar

App Store Reviews Scraper

Pricing

$0.20 / 1,000 review delivereds

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App Store Reviews Scraper

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

Jeffrey Inman

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

4 days ago

Last modified

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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 — mostRecent or mostHelpful.

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 country storefronts 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.