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Web Extraction

Apple App Store Reviews Finder

Return structured Apple App Store app reviews from an Apple App Store app URL for app-market, voice-of-customer, and competitive research.

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Inputs

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Execution Steps

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Overview

Apple App Store Reviews Finder turns one public Apple App Store app URL into normalized review records for app-market, voice-of-customer, and competitive research. Use it to mine app review language, feature feedback, ratings, developer responses, and version-specific context from the returned review set.

Use cases

  • Pull Apple App Store reviews before writing app positioning, lifecycle messaging, or competitor notes.
  • Scan review titles, body text, ratings, dates, reviewer names, app versions, and developer responses.
  • Collect review evidence for feature requests, objections, proof points, or release feedback themes.

Input tips

  • Paste a full HTTPS Apple App Store app URL, such as https://apps.apple.com/us/app/chatgpt/id6448311069.
  • The URL must use a country code, app slug, and numeric app ID path; query strings and fragments are stripped.
  • Set recordsLimit from 1 to 500; the default is 100.
  • Use Google Play Store Reviews Finder for Android app reviews.

Expected output

The AI Tool returns success, canonical App Store URL, reviews, recordCount, recordsLimit, optional warnings, normalization summary, and cost metadata. Review rows can include review ID, title, body text, 0-5 rating, date, reviewer display name, developer response text, app ID, app version, safe Apple app or review URL, and sanitized extra fields.

Caveats

  • Only public Apple App Store app URLs with a supported app path are accepted.
  • An empty result does not prove the app has no public reviews; confirm the app page directly.
  • Review availability, ratings, dates, versions, and developer responses can change after the run.
  • Noisy or unsafe scraped fields may be normalized, omitted, preserved as extra fields, or reported in warnings.

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