Ultimate YouTube Comments Scraper 💬

Scrape comments from any YouTube video — fast, reliable, and rich with detail. Get author profiles, like counts, reply threads, creator hearts, pinned status and verification badges as clean, structured JSON.

✨ What you get

Every comment becomes one dataset record with:

Field	Description
commentId	Unique comment identifier
parentCommentId	Set for replies, null for top-level comments
type	comment or reply
text	Full comment text
publishedTime	When it was posted (e.g. "1 year ago")
author	Author handle (e.g. @Fireship)
authorChannelId / authorChannelUrl	Author's channel
authorAvatar	Author's profile picture URL
authorIsChannelOwner	true when the video's creator commented
authorIsVerified	Verified channel badge
likes	Like count as a number
replyCount	Number of replies on the thread
isPinned	Pinned by the creator
hasCreatorHeart	❤️ from the creator
position	Order in which the comment was scraped
videoId / videoTitle / videoUrl	The source video
totalComments	Total comment count on the video

⚙️ Options

• Direct video URLs — any number of videos (watch, youtu.be, Shorts or embed links).
• Maximum comments — cap results per video, or 0 for everything.
• Sorting order — YouTube's Top comments ranking or Newest first.
• Max Replies Per Comment — expand reply threads to any depth, or keep it 0 for maximum speed.

🚀 Example

Input:

{
    "videoUrls": ["https://www.youtube.com/watch?v=IELMSD2kdmk"],
    "maxComments": 100,
    "sortingOrder": "top",
    "maxRepliesPerComment": 5
}

One record from the output:

{
    "commentId": "UgxnZbbDRlNXOjEyL094AaABAg",
    "parentCommentId": null,
    "type": "comment",
    "text": "Correction: Spark is written in Scala, not its abusive stepfather Java.",
    "publishedTime": "1 year ago",
    "author": "@Fireship",
    "authorChannelUrl": "https://www.youtube.com/channel/UCsBjURrPoezykLs9EqgamOA",
    "authorIsChannelOwner": true,
    "authorIsVerified": true,
    "likes": 2400,
    "replyCount": 38,
    "isPinned": false,
    "hasCreatorHeart": false,
    "position": 1,
    "videoId": "IELMSD2kdmk",
    "videoTitle": "Apache Spark in 100 Seconds",
    "videoUrl": "https://www.youtube.com/watch?v=IELMSD2kdmk",
    "totalComments": 451
}

💡 Use cases

• Audience research — find what viewers love, ask for, and complain about.
• Sentiment analysis — feed clean comment text straight into your NLP pipeline.
• Creator monitoring — track hearts, pins and owner replies across videos.
• Lead generation — identify engaged, verified commenters in your niche.

💳 Pricing

You pay per comment scraped — no subscriptions, no hidden compute costs. Replies count as comments.

❓ FAQ

Does it work on videos with disabled comments? Those are skipped with a clear log message; you're not charged.

Are replies included by default? No — set Max Replies Per Comment above 0 to expand threads.

How fresh is the data? Every run scrapes YouTube live, so the data is as fresh as the moment you press Start.