Pricing

$19.99/month + usage

Youtube Comments Scraper

💬 YouTube Comments Scraper (youtube-comments-scraper) extracts comments, replies, authors, likes, timestamps, IDs & pinned/hearted flags. 🔍 Export CSV/JSON for research, sentiment, social listening, moderation & competitor analysis. 🚀 Fast & reliable.

Pricing

$19.99/month + usage

Rating

0.0

(0)

Developer

ScrapeLabs

Actor stats

Bookmarked

Total users

Monthly active users

7 days ago

Last modified

Categories

Automation

Lead generation

Social media

You can access the Youtube Comments Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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            "title": "🔗 YouTube Video URLs or IDs",
            "type": "array",
            "description": "📋 Enter the YouTube videos you want to scrape comments from. You can use full URLs (e.g. https://www.youtube.com/watch?v=VIDEO_ID or https://youtu.be/VIDEO_ID) or just the 11-character video ID. Add multiple URLs or IDs to scrape several videos in one run — the actor processes each video sequentially. Each video's comments are saved to the dataset with the correct video title and metadata.",
            "items": {
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          "maxComments": {
            "title": "📊 Maximum Comments per Video",
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          "sortOrder": {
            "title": "📑 Comment Sort Order",
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            "description": "⬆️ Choose how comments are ordered when fetching. • top — Shows the most liked and relevant comments first (YouTube's default). Best for sentiment analysis or finding popular opinions. • newest — Shows the most recently posted comments first. Best for monitoring live discussions or recent feedback.",
            "default": "top"
          },
          "proxyConfiguration": {
            "title": "🌐 Proxy Configuration",
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Youtube Comments Scraper OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for Youtube Comments Scraper from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

Youtube Comments Scraper API in Python

Youtube Comments Scraper API in JavaScript

Youtube Comments Scraper API through CLI

Youtube Comments Scraper API

Youtube Comments Scraper

scraply/youtube-comments-scraper

🎥 YouTube Comments Scraper extracts comments, threaded replies, usernames, timestamps & likes from any video. 📊 Export CSV/JSON for research, social listening, marketing, competitor analysis & moderation. ⚡ Fast, reliable, and easy to use. 🚀

Scraply

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scraperx/youtube-comments-scraper

💬 YouTube Comments Scraper (youtube-comments-scraper) extracts video comments at scale — text, author, likes, timestamps, replies & IDs. 🔍 Filter by keywords, date, or top/most recent, then export CSV/JSON. 📊 Ideal for market research, content strategy, social listening & moderation. 🚀

ScraperX

Youtube Comments Scraper

scrapeflow/youtube-comments-scraper

📺 YouTube Comments Scraper extracts comments at scale from videos & channels — authors, timestamps, likes, replies & threads. 🔎 Filter by keywords, date or language, and export CSV/JSON. 🚀 Ideal for sentiment analysis, market research & social listening.

ScrapeFlow

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scrapepilotapi/youtube-comments-scraper

🎥 YouTube Comments Scraper pulls comments from videos & shorts — with authors, timestamps, likes, replies & thread depth. 📊 Export CSV/JSON for sentiment, keyword analysis, social listening & competitor research. 🚀 Perfect for creators, marketers & researchers.

ScrapePilot

Tiktok Comments Scraper

scraply/tiktok-comments-scraper

📱 TikTok Comments Scraper extracts comments, usernames, user IDs, timestamps, likes & replies from videos or hashtags. ⚡ Fast, reliable, export to CSV/JSON for sentiment, UGC mining, social listening & competitor analysis. 🚀 Perfect for marketing, research & moderation.

Scraply

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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

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sovereigntaylor/youtube-comments-scraper

Extract comments from any YouTube video. Get comment text, authors, likes, dates, replies, pinned and hearted status. For sentiment analysis, brand monitoring and content research.

Ricardo Akiyoshi

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

Facebook Comments Scraper

scrapium/facebook-comments-scraper

💬 Facebook Comments Scraper extracts comments & replies from public posts/pages — with author, timestamps, reactions & IDs. 📊 Export to CSV/JSON for sentiment, social listening, moderation & marketing insights. ⚡ Fast, reliable, API-ready. 📈 Track engagement at scale.

Scrapium

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.