YouTube Comments Scraper

Export public YouTube comments as clean, analysis-ready rows—without requiring a YouTube Data API key.

Use it for audience research, sentiment analysis, creator monitoring, product feedback, campaign measurement, moderation support, lead signals, and AI-agent datasets.

What you get

Each top-level comment becomes one dataset item with:

• video ID, title, channel, and direct URL
• comment ID, direct comment URL, and full visible text
• author name, channel ID, channel URL, and avatar
• displayed publication time
• parsed and original like counts
• reply count
• pinned, creator-hearted, channel-owner, and verification signals
• selected sort order and scrape timestamp

Input example

{
  "videos": ["https://www.youtube.com/watch?v=dQw4w9WgXcQ"],
  "sortBy": "top",
  "keywords": [],
  "minLikes": 0,
  "maxCommentsPerVideo": 100,
  "countryCode": "US",
  "languageCode": "en"
}

maxCommentsPerVideo is a hard output and price ceiling. Keyword and like filters are applied before records are saved.

Output example

{
  "videoId": "dQw4w9WgXcQ",
  "videoTitle": "Example video",
  "commentId": "Ugexample",
  "commentUrl": "https://www.youtube.com/watch?v=dQw4w9WgXcQ&lc=Ugexample",
  "text": "This is still a great video.",
  "authorName": "Example viewer",
  "likes": 1200,
  "replyCount": 14,
  "isPinned": false,
  "isHearted": true
}

Automation and AI agents

Use the API, OpenAPI, MCP, Python, JavaScript, CLI, webhook, or scheduling examples in the Actor's API tab. Store comment IDs between runs to detect new feedback, send high-like comments to Slack, or feed rows into a sentiment and topic-analysis workflow.

Important notes

The Actor returns top-level public comments; replyCount shows conversation volume without billing every nested reply. Comments can be disabled, deleted, held, personalized, region-restricted, or reordered by YouTube. Visible compact counts such as 1.2K are normalized to numbers. Respect YouTube's terms, privacy expectations, creators' rights, and applicable law.