App Store Reviews Scraper – Ratings, Text & Sentiment Data

Export iOS App Store reviews for any app, in any country store, as a clean table: star rating, title, review text, date, app version and detected language. Filter by country, language, rating and date. Built on Apple's public customer-reviews feed and iTunes Search API. No login, no browser, no blocking. Anonymous by design: reviewer names and IDs are never collected.

What can you use it for?

• Product feedback mining: find bugs and feature requests in 1–2 star reviews after each release (appVersionReviewed).
• Competitor research: compare what users love and hate about rival apps, per market.
• Sentiment & AI analysis: feed review text to LLMs or BI tools for topic and sentiment dashboards.
• Release monitoring: schedule daily with a date filter and get only new reviews.
• Localization insights: see what users in Germany, Brazil or Japan say about your app.

Features

Feature	This Actor	Typical review scrapers
App URL, numeric ID or app name input	✅	URL/ID only
Multiple countries per run	✅	Often one
Filters: rating range, date range, language	✅	Rarely all
Language detection on every review	✅	❌
App details (name, developer, genre, overall rating) on each row	✅	Sometimes
No personal data: reviewer names/IDs stripped	✅	❌ usually included
Official public Apple endpoints, no browser, no proxy needed	✅	Varies
Failures are free	✅	❌

How to use

1. Add apps (App Store URL, ID like 570060128, or a name like Notion).
2. Pick countries and optional filters.
3. Click Start and export JSON, CSV or Excel.

Example input

{ "apps": ["https://apps.apple.com/us/app/duolingo-language-lessons/id570060128", "Notion"],
  "countries": ["us", "de"], "maxReviewsPerApp": 100, "maxRating": 2, "languages": ["en", "de"], "dateFrom": "2026-09-01" }

Example output

{ "store": "app-store", "appId": "570060128", "appName": "Duolingo: Learn Languages", "developer": "Duolingo",
  "appAverageRating": 4.7, "country": "us", "rating": 2, "title": "Too many ads now",
  "text": "Used to love it but the latest update...", "language": "en", "appVersionReviewed": "7.12.0",
  "date": "2026-10-14T10:03:12.000Z", "helpfulVotes": 3, "totalVotes": 4 }

Limits

Apple's public feed exposes the ~500 most recent reviews per app per country (10 pages × 50). For more history, run across more countries or schedule regular runs and accumulate. Language is detected automatically (very short reviews may be null).

Pricing

Pay per review returned, with no start fee and no platform usage fees on top. See the Pricing tab.

• 100 reviews ≈ $0.20 · 1,000 reviews ≈ $2 · 10,000 reviews ≈ $20
• Filtered-out reviews, apps not found and unavailable countries are not charged (listed in FAILED).

Integrations

• API: run via the Apify API or the JavaScript/Python clients, and get results as JSON, CSV, Excel or XML.
• No-code: Make, Zapier, n8n, Google Sheets, Slack, webhooks and schedules.
• AI agents: available through the Apify MCP server.

FAQ

Does it scrape Google Play too? No. Google Play reviews are only reachable through endpoints its robots.txt disallows, so this Actor sticks to Apple's public feed. Why no reviewer names? Privacy. The data you need for product insight doesn't require personal data, which keeps your GDPR exposure minimal. Is this allowed? It uses Apple's publicly offered RSS feed and iTunes Search API, without logins or circumvention. Use the content in line with Apple's terms and your local law. Can I get reviews older than 500? Not via Apple's public feed.

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Keywords: App Store reviews scraper, iOS app reviews, app ratings export, app review analysis, App Store review API, customer feedback, sentiment analysis, competitor app research.