Pricing

$0.65 / 1,000 results

Ultimate YouTube Comments Scraper

🚀 Scrape YouTube comments at scale with full metadata, reply threads, author profiles, likes, verification badges, creator hearts, and pinned status. Fast, reliable, and ready for analytics.

Pricing

$0.65 / 1,000 results

Rating

0.0

(0)

Developer

Hamza

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Total users

Monthly active users

a day ago

Last modified

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.

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