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Description
Fetch App Store customer reviews for any app and export them to CSV or JSON. Powered by the FetchLayer API. Turn any App Store listing into clean, structured review data in seconds. App Store Review Scraper makes it easy to collect reviews, ratings, dates, and other useful feedback from Apple App Store listings without writing code, configuring an API, or maintaining your own scraper. Just open an App Store listing, launch the extension, choose how many pages of reviews you want to fetch, and click Get Reviews. Your results are displayed directly inside the extension in a clean, easy-to-read format and can be exported as CSV or JSON whenever you need them. WHAT YOU CAN DO • Scrape reviews from public App Store listings • Automatically detect the app you’re viewing • Choose how many pages of reviews to fetch • Collect review text, ratings, dates, and other available review data • Preview results directly inside the extension • Export App Store reviews to CSV • Export structured review data as JSON • Reopen previous scrapes from your history • Use the extension as a popup or side panel • Connect App Store review data to Claude, Cursor, VS Code, Windsurf, and other MCP-compatible AI tools SIMPLE ENOUGH FOR ANYONE You don’t need to understand APIs, write scripts, configure proxies, or manage scraping infrastructure. Open the app listing you want, choose how much data to collect, and let the extension handle the rest. It’s designed for product teams, marketers, founders, researchers, analysts, and anyone who simply needs App Store reviews in a usable format. USEFUL FOR • Customer feedback analysis • Product research • Competitor research • Sentiment analysis • Feature request discovery • Bug and complaint research • App Store optimization research • Market research • Product positioning • Review monitoring • Academic and qualitative research • Building datasets • AI and LLM workflows • Exporting App Store reviews into spreadsheets UNDERSTAND WHAT USERS ARE SAYING App reviews are often one of the clearest sources of real customer feedback. Collect reviews from your own apps or competing products to find recurring complaints, requested features, positive feedback, changing sentiment, and opportunities to improve your product. Export the data and analyze it in Excel, Google Sheets, your preferred data tools, or an AI workflow. BUILT FOR AI WORKFLOWS TOO Want to analyze App Store reviews directly inside your AI tools? The extension can connect with MCP-compatible clients including Claude Desktop, Cursor, VS Code, Windsurf, and others. This lets your AI workflows access App Store review data without manually copying reviews, exporting files, or building custom integrations. CSV AND JSON EXPORTS Export your results in the format that works best for you. Use CSV when you want to analyze reviews in Excel, Google Sheets, reporting tools, or other spreadsheet workflows. Use JSON when you need structured App Store data for development, automation, AI agents, research pipelines, dashboards, or custom applications. SAVED HISTORY Previous scrapes are kept in your extension history so you can quickly reopen past App Store listings and continue working with your results. This is especially useful when researching multiple apps, monitoring competitors, or returning to previous review datasets. POWERED BY FETCHLAYER.DEV App Store Review Scraper uses FetchLayer to retrieve structured App Store review data reliably. FetchLayer is a web and social data scraping API for developers, AI agents, researchers, marketers, and teams that need structured data from popular platforms without maintaining scrapers, proxies, or scraping infrastructure. If you need App Store data programmatically, FetchLayer also provides an App Store Reviews Scraper API for retrieving structured reviews as JSON, with simple API access and MCP support for AI tools such as Claude and Cursor. A FetchLayer account is required to run scrapes. Sign-in and billing are handled securely through FetchLayer. No coding or API configuration is required to use the Chrome extension. Learn more at fetchlayer.dev