Pricing

$20.00/month + usage

Try for free

Go to Apify Store

YouTube Comments & Replies Scraper

Try for free

Automatically collect detailed comment data from YouTube videos, including first and second-level replies. Get real-time insights into user engagement with rich, organized data—perfect for market analysis, competitor research, and content strategy.

Pricing

$20.00/month + usage

Rating

4.7

(26)

Developer

ВAH

Actor stats

Bookmarked

Total users

Monthly active users

4.9 hours

Issues response

2 months ago

Last modified

Configure MCP server with YouTube Comments & Replies Scraper

Get a ready-to-use configuration for your MCP client with the YouTube Comments & Replies Scraper Actor preconfigured at mcp.apify.com?tools=delicious_zebu/youtube-comments-replies-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 Comments Scraper

scrapapi/youtube-comments-scraper

Extract comments from YouTube videos using the YouTube Comments Scraper. Collect comment text, usernames, likes, timestamps, and replies automatically. Ideal for sentiment analysis, audience research, community insights, and content feedback analysis.

ScrapAPI

Youtube Comments Scraper

scrapers-hub/youtube-comments-scraper

YouTube comments scraper to collect comments, replies, and user data from YouTube videos 💬📊 Ideal for sentiment analysis, audience insights, and research. Fast, accurate, and scalable.

Scrapers Hub

💬 YouTube Comments Scraper

dz_omar/youtube-comments-scraper

💬 Extract YouTube comments with author info, likes, timestamps, and nested replies. Perfect for sentiment analysis, market research, and content strategy. ⚡ Fast, reliable, and built for scale.

FlowExtract API

5.0

🔍 YouTube Comments Scraper — Bulk Comment Extractor

nexgendata/youtube-comments-scraper

Scrape YouTube comments from any video URL. Extract comment text, author, likes, replies, timestamps. No API key needed. Export to JSON, CSV, Excel. Perfect for sentiment analysis, market research, and content analysis.

Stephan Corbeil

YouTube Comments Scraper

alwaysprimedev/youtube-comments-scraper

Extract public YouTube comments and replies from one or multiple videos. Get clean structured data with author info, likes, replies, pinned and hearted status, timestamps, and video metadata for research, audience analysis, lead discovery, and competitor monitoring.

Always Prime

Youtube Comments Scraper

simpleapi/youtube-comments-scraper

YouTube Comments Scraper extracts comments from any YouTube video, capturing usernames, text, timestamps, likes, replies, and comment IDs. Ideal for sentiment analysis, audience research, trend monitoring, and automating structured YouTube comment data collection at scale

SimpleAPI

YouTube Comments Scraper

agentflow/youtube-comments-scraper

Extract comments and replies from YouTube videos. Fast, lightweight, no browser needed.

AgentFlow

YouTube Comments Scraper

scrapeforge/youtube-comments-scraper

Extract comments and replies from any YouTube video. Scrape by video URL or channel. Get comment text, likes, replies, author info, and more. Fast bulk extraction — export to JSON, CSV, or Excel.

ScrapeForge

Youtube Comments Scraper

scraper-engine/youtube-comments-scraper

YouTube Comments Scraper extracts comments from any public YouTube video or channel. Gather usernames, timestamps, likes, replies, and full comment text. Ideal for sentiment analysis, audience research, or content insights. Export clean structured data in JSON, CSV, or Excel.

Scraper Engine

288

5.0

Youtube Comments Scraper

scrapio/youtube-comments-scraper

Scrapes comments from any YouTube video, capturing usernames, comment text, timestamps, likes, replies, and comment IDs. Ideal for sentiment analysis, audience research, content insights, moderation tools, and large-scale comment data extraction