AI App Store Reviews Scraper — ChatGPT, Claude, Gemini, Grok

Get the latest App Store reviews for AI apps (ChatGPT, Claude, Gemini, Grok, Perplexity, Copilot or any app) by country, with star filters. Uses Apple's public reviews feed.

What does AI App Store Reviews do?

Looks up each app on the App Store, then reads Apple's public customer-reviews RSS feed (most recent first, up to 500 reviews per app per country). Returns stars, title, text, app version and date. Reviewer nicknames are excluded by default.

Why use it?

• Apple's public RSS feed — no login, no anti-bot evasion
• Multi-country, multi-app in one run
• Star filters for complaint mining (1–2★) or praise (5★)
• Fail-loudly empty-result guard

Data source

Apple iTunes Search API and the public App Store customer-reviews RSS feed (itunes.apple.com/{country}/rss/customerreviews).

Input

• apps: App names to look up
• appIds: Numeric App Store IDs
• countries: Country codes
• maxPagesPerApp: 1–10 pages of 50
• minRating / maxRating: Star filter
• includeReviewerName: Off by default

Example input:

{
  "apps": [
    "ChatGPT",
    "Claude by Anthropic"
  ],
  "countries": [
    "us",
    "gb"
  ],
  "maxPagesPerApp": 2,
  "maxRating": 2
}

Output

Each dataset item looks like this:

{
  "appId": "6448311069",
  "appName": "ChatGPT",
  "country": "gb",
  "rating": 5,
  "title": "Great",
  "text": "I love working with ChatGPT",
  "appVersion": "1.2026.272",
  "updatedAt": "2026-10-12T22:15:58-07:00"
}

Export as JSON, CSV, Excel or HTML, or pull via the Apify API, webhooks, Make, Zapier, n8n or the Apify MCP server.

How much does it cost?

Pay per event: $0.001 per run + $0.0003 per result (≈ $0.30 per 1,000 results). You are never charged for results on a failed run: if no data is found, the run fails loudly with an explanation instead of returning an empty "success".

Use cases

• AI product teams tracking user sentiment vs competitors
• Complaint mining for feature ideas
• Market research on AI assistants by country
• Feeding reviews to an LLM for weekly summaries

Scheduling & monitoring

Schedule it daily or weekly in Apify Console and connect a webhook/Slack/email integration to get new items automatically.

FAQ

Is this legal? It uses Apple's public RSS feeds and Search API. Reviewer nicknames are excluded by default. No personal data is collected.

Something broke? Open an issue on the Issues tab; the actor is tested daily.

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