Media
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Description
Fetch every comment and nested reply from any YouTube video and export them to CSV or JSON. Powered by the FetchLayer API. Turn any YouTube video into clean, structured comment data in seconds. YouTube Comments Scraper makes it easy to collect comments and replies from YouTube videos without writing code, configuring an API, or maintaining your own scraper. Just open a YouTube video, launch the extension, choose how much data you want to fetch, and click Get Comments. 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 comments from any public YouTube video • Collect replies and conversation threads • Automatically detect the YouTube video you’re viewing • Control reply depth • Choose how many pages of comments to fetch • Preview results directly inside the extension • Export YouTube comments to CSV • Export structured YouTube data as JSON • Reopen previous scrapes from your history • Use the extension as a popup or side panel • Connect YouTube comment data to Claude, Cursor, VS Code, Windsurf, and other MCP-compatible AI tools - Simple enough for anyone You don’t need to understand the YouTube API, write scripts, configure proxies, or deal with scraping infrastructure. Open the video you want, choose your settings, and let the extension handle the rest. It’s designed for creators, marketers, researchers, analysts, and anyone who simply needs YouTube comments in a usable format. - Useful for YouTube Comments Scraper can be used for: • Audience and customer research • Sentiment analysis • Content research • Comment analysis • Competitor research • Creator and influencer research • Market research • Lead discovery • Academic and qualitative research • Building datasets • AI and LLM workflows • Exporting YouTube comments into spreadsheets • Saving video discussions for offline analysis - Built for AI workflows too Want to use YouTube data 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 YouTube comment data without manually copying comments, 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 YouTube comments in Excel, Google Sheets, data-analysis tools, or other spreadsheet workflows. Use JSON when you need structured YouTube data for development, automation, AI agents, research pipelines, or custom applications. - Saved history Previous scrapes are kept in your extension history so you can quickly reopen past YouTube videos and continue working with your results. - Powered by FetchLayer.dev YouTube Comments Scraper uses FetchLayer to retrieve structured YouTube comment data reliably. FetchLayer is a social media scraping API for developers, AI agents, researchers, marketers, and teams that need structured data from YouTube and other social platforms without maintaining scrapers, proxies, or scraping infrastructure. If you need YouTube data programmatically, FetchLayer also provides a YouTube Scraper API for retrieving structured comments and replies 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