Pricing

from $0.80 / 1,000 stored comment or replies

Try for free

Go to Apify Store

YouTube Comments Scraper

Try for free

Export public YouTube comments and replies to JSON, CSV or Excel. Choose Top or Newest order and set a total row limit. Each reply keeps its parent comment ID. No YouTube login or API key needed.

Pricing

from $0.80 / 1,000 stored comment or replies

Rating

0.0

(0)

Developer

Cliqto Media

Actor stats

Bookmarked

Total users

Monthly active users

8 days ago

Last modified

Configure MCP server with YouTube Comments Scraper: Replies, CSV Export

The configuration above connects to the hosted Apify MCP server with the YouTube Comments Scraper: Replies, CSV Export Actor already loaded. It uses OAuth, so your client opens a browser window to sign you in to Apify on first use. No API token is needed. Clients without OAuth support can authenticate with an Authorization: Bearer header carrying an API token from API & Integrations in Apify Console.

Get a ready-to-use configuration for your MCP client with the YouTube Comments Scraper: Replies, CSV Export Actor preconfigured at https://mcp.apify.com/?tools=fetch-actor-details,cliqtomedia/youtube-comments-scraper.

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.

If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.

YouTube Full Channel Comments Extractor ⚡📜💬

scrapestorm/youtube-full-channel-comments-extractor

Looking for a YouTube comments scraper to extract comments from an entire videos channel? 🔍 Your search ends here! With the YouTube Full Channel Comments Scraper 💬, gather all the comments from videos across a channel, including likes, replies & user details. No proxy needed, fast & efficient! ⚡💬

Storm_Scraper

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scrape-creators/best-youtube-comments-scraper

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Extract comprehensive comments from any YouTube video with detailed metadata including author information, engagement metrics, and timestamps. Perfect for sentiment analysis, community engagement tracking, and content feedback analysis.