App Store Reviews Scraper — Ratings, Text & Versions by Country

Fetch Apple App Store customer reviews as structured data. Point it at app IDs (or a search term), pick storefront countries, and get clean JSON/CSV with star ratings, review titles and text, app versions, helpful votes and dates — with reviewer identity deliberately omitted.

Why use this scraper

• Zero personal data — reviewer names and profile URIs are stripped before the row is written. You get the opinion, not the person; nothing GDPR-relevant is stored.
• Per-country storefronts — the same app's reviews differ by country; fetch us, gb, de, fr side by side, each row stamped with its storefront.
• Rating filters — minRating/maxRating fetch only the 1–2★ complaints (or only the praise) without paying for the rest.
• Search mode — no app ID? Give a searchTerm and it resolves the top matching apps first.
• App versions included — tie complaints to the release that caused them.
• Pure HTTP — fast, cheap, no browser.

What data you get

{
  "reviewId": "9876543210",
  "appId": "1234567890",
  "appName": "Example App",
  "country": "us",
  "rating": 2,
  "title": "Broken since the update",
  "text": "Version 5.2 crashes on launch on my iPhone 15...",
  "appVersion": "5.2",
  "updatedAt": "2026-08-03T14:22:00-07:00",
  "voteSum": 18,
  "voteCount": 21,
  "appReviewsUrl": "https://apps.apple.com/us/app/id1234567890",
  "scrapedAt": "2026-08-11T10:00:00.000Z"
}

Fields Apple does not publish are null — this Actor never invents data.

How to run it

1. Set appIds (numeric Apple IDs or App Store URLs) — or a searchTerm instead.
2. Pick countries (default ["us"]).
3. Optionally filter with minRating/maxRating and cap with maxReviewsPerCountry.
4. Click Start and export the dataset as JSON, CSV or Excel.

Works out of the box: the default input runs successfully with no changes.

Input parameters

Field	Type	Default	Description
appIds	array	—	Apple app IDs or store URLs.
searchTerm	string	—	Alternative: resolve apps by search.
maxAppsFromSearch	integer	5	Apps to take from search results.
countries	array	["us"]	Storefront country codes.
sortBy	string	mostRecent	Sort order.
maxReviewsPerCountry	integer	500	Cap per app+country pair.
minRating / maxRating	integer	—	Keep only this star band.

Pricing

$1.00 per 1,000 reviews (pay per event, no subscription). Examples:

• 500 reviews → $0.50
• 5,000 reviews → $5.00
• Zero results → $0.00.

Use cases

• Release monitoring — pull 1–2★ reviews after each release, grouped by appVersion, and find what broke.
• Competitor analysis — complaint themes and rating distributions across rival apps and countries.
• Localization QA — compare sentiment per storefront to spot market-specific problems.
• ML datasets — labelled sentiment text with star ratings, GDPR-clean by construction.
• AI agents — call this Actor as a tool through the Apify MCP server.

Limitations

• Apple's public review feed serves a limited window per app+country (most recent reviews); very deep history is not available from the source.
• Reviewer identity is omitted on purpose and cannot be turned on.
• Review volume differs by storefront; small markets have few reviews to fetch.

FAQ

How do I find an app's ID? It is the number in its App Store URL: apps.apple.com/us/app/example/id1234567890 — or just use searchTerm.

Can I get only negative reviews? Yes: maxRating: 2. You pay only for the rows you receive.

Why is there no reviewer name? By design — the row carries the review, not the person. That keeps datasets shareable without GDPR exposure.

Can I fetch several countries at once? Yes — each country in countries is fetched and stamped separately.

Related Actors

• App Store Charts Scraper — the rankings these reviews sit behind
• Google Play Reviews Scraper — the Android side

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If this Actor saved you time, a short review on its Store page helps other people find it. If something looks wrong, open an issue on the Issues tab — issues get answered.