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from $1.46 / 1,000 comment returneds

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YouTube Comments Scraper - Comments, Replies, Likes & Authors

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For sentiment analysis, community management, creator research and AI training sets: comments and replies from any public video with text, author, channel, likes, replies and age. YouTube rounds like counts before sending them - 42 of 68 measured on 2026-09-08 - so every row says if it is exact.

Pricing

from $1.46 / 1,000 comment returneds

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NeverEmpty

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Monthly active users

3 days ago

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Configure MCP server with YouTube Comments Scraper - Replies, Likes & Authors

The configuration above connects to the hosted Apify MCP server with the YouTube Comments Scraper - Replies, Likes & Authors 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, Likes & Authors Actor preconfigured at https://mcp.apify.com/?tools=fetch-actor-details,neverempty/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 Video Comments

mohamedgb00714/youtube-video-comments

Scrapes public comments from any YouTube video.

mohamed el hadi msaid

YouTube Comments

datasaurus/youtube-comments

Scrape YouTube Video and YouTube Shorts Comments and Replies without limits. Fast and Reliable. Extract author details, published date, like count, viewer rating reply count, video details, channel details. Link Comments and Replies via cascading id numbers.

datasaurus

118

5.0

YouTube Comments Scraper — Export Comments & Replies

logiover/youtube-comments-scraper

Scrape YouTube comments without API key. Export comments and replies to CSV, JSON, Excel — a YouTube Data API alternative for sentiment research.

Logiover

YouTube Comments Scraper — Author, Likes, Replies & Text

haketa/youtube-comments-scraper

Scrape all comments from any YouTube video, channel or search in bulk. Get comment text, author, verified/creator flags, like count, reply count and timestamp — plus video title and channel. Fast, keyless YouTube comment export for research and sentiment analysis.

Haketa

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 Video Comments Scraper

electrabot.info/youtube-video-comments

Scrapes comments (text, author, likes, replies, timestamps) from YouTube videos. Supports top/newest sort and up to 1000 comments per video.

electra bot

YouTube Comments Scraper — with likes, replies, and authors

dangul/youtube-comments-scraper

Extract YouTube comments with author, like count, reply count, and timestamps. Sort by top or newest, paginated automatically.

Daniel Gulla

YouTube Comments Scraper – Comments & Replies, No API Key

pulsedata/youtube-comments-scraper

Extract all comments and replies from YouTube videos, Shorts or live VODs: text, author, channel, likes, reply count, heart by creator, pinned, timestamps. Top or newest first, thousands of comments per video, plus video title & channel. No YouTube API key or quota. $1 per 1,000 comments.

PulseData

YouTube Comments Scraper – Comments & Replies

arjun_code/youtube-comments-scraper

Scrape YouTube comments and replies from videos and Shorts. Export text, authors, likes, timestamps, pinned comments, and direct links without an API key.

Arjun AI

YouTube Comments Scraper

om_kh/youtube-comments-scraper

Bulk-downloads comments from any YouTube video: text, author, like count, reply count, date. For audience research, sentiment analysis and community management.