YouTube Comment Scraper

Scrape comments from any YouTube video and get the full comment text, author details, like counts, reply counts, publish dates, and engagement flags. Works on any video URL format and returns clean JSON in seconds.

You are only charged for comments that come back with real data. Failed requests and empty results are free.

What does YouTube Comment Scraper do?

YouTube Comment Scraper pulls comment data directly from any YouTube video and turns it into a clean, structured dataset ready to use.

It can extract:

• Comment text and comment IDs
• Author name, channel URL, and profile image
• Like counts (normalized integer)
• Reply counts and whether a comment has replies
• Publish dates (raw string and YYYY-MM-DD)
• Engagement flags: pinned, edited, and reply status

Why Scrape YouTube Comments?

A video's comment section is where the real audience reaction lives. Likes, replies, and timing together reveal what people actually think, which comments drive conversation, and how sentiment shifts as a video gains traction.

Here are some ways you could use this data:

• Run sentiment and feedback analysis on your own or competitor videos
• Surface the most-liked and most-discussed comments in any niche
• Monitor brand mentions and audience reactions over time
• Build datasets for NLP, sentiment models, or trend research
• Feed comment data into dashboards, spreadsheets, or automation tools

How to Use

Scraping a YouTube video's comments takes about 10 seconds. No setup needed beyond the video URL.

1. Click Try for free
2. Enter the YouTube video URL, for example: https://www.youtube.com/watch?v=dQw4w9WgXcQ
3. Pick how many comments to fetch: 10, 20, 50, 100, 300, 500, or 1,000
4. Choose how to sort: Top comments or Newest first
5. Click Run
6. When done, preview or download your data from the Dataset tab

Input

{
  "videoUrl": "https://www.youtube.com/watch?v=dQw4w9WgXcQ",
  "maxComments": "100",
  "sortBy": "top"
}

Input Fields

Field	Type	Default	Description
videoUrl	string	none	YouTube video URL (required). Supports watch?v=, youtu.be/, /shorts/, and /embed/ links
maxComments	string	"20"	How many comments to scrape. Options: 10, 20, 50, 100, 300, 500, 1000
sortBy	string	"top"	Comment sort order. top for YouTube's ranked comments, newest for chronological order

Output

Each comment is saved as one item in the Dataset. The run summary goes to the Key-Value Store under OUTPUT.

Comment item

{
  "commentId": "UgxABC123def456",
  "text": "This is exactly what I needed, thank you!",
  "authorName": "Jane Doe",
  "authorChannelUrl": "https://www.youtube.com/@janedoe",
  "authorProfileImageUrl": "https://yt3.ggpht.com/ytc/abc123...",
  "publishedAt": "2026-06-24",
  "publishedAtRaw": "2 days ago",
  "likeCount": 1240,
  "replyCount": 18,
  "hasReplies": true,
  "isReply": false,
  "parentCommentId": null,
  "isPinned": false,
  "isEdited": false,
  "videoId": "dQw4w9WgXcQ"
}

Run summary

{
  "summary": {
    "videoId": "dQw4w9WgXcQ",
    "videoUrl": "https://www.youtube.com/watch?v=dQw4w9WgXcQ",
    "videoTitle": "Rick Astley - Never Gonna Give You Up",
    "channelName": "Rick Astley",
    "channelId": "UCuAXFkgsw1L7xaCfnd5JJOw",
    "viewCount": 1600000000,
    "totalCommentCount": 2300000,
    "successCount": 100,
    "failedCount": 0,
    "successRate": "100%",
    "totalCharged": 0.05,
    "startedAt": "2026-06-25T10:00:00.000Z",
    "finishedAt": "2026-06-25T10:00:05.000Z",
    "totalDurationSeconds": 5
  }
}

Output Fields

Comment data

Field	Description
commentId	YouTube comment ID
text	Full comment text
authorName	Display name of the comment author
authorChannelUrl	Link to the author's channel
authorProfileImageUrl	Author's profile picture URL
publishedAt	Publish date in YYYY-MM-DD format
publishedAtRaw	Raw publish string from YouTube (e.g. "2 days ago")
likeCount	Like count as an integer (1240, not "1.2K")
replyCount	Number of replies on the comment
hasReplies	true if the comment has at least one reply
isReply	true if the item is a reply to another comment
parentCommentId	ID of the parent comment, or null for top-level comments
isPinned	true if the comment is pinned by the creator
isEdited	true if the comment was edited
videoId	YouTube video ID the comment belongs to

Pricing

Pay per successfully scraped comment. Failed requests are free.

Comments	Cost	Est. time
10	$0.005	~2s
100	$0.05	~5s
300	$0.15	~15s
500	$0.25	~20s
1,000	$0.50	~40s

$0.0005 per comment.

For runs over 500 comments, set No timeout in Run options.

Notes

• All video URL formats work: watch?v=, youtu.be/, /shorts/, and /embed/.
• Like counts are integers, not strings. 1240 instead of "1.2K", ready to sort and filter without extra parsing.
• Sort by top to get YouTube's ranked comments, or newest to catch the freshest reactions first.
• Videos with comments disabled will return an error explaining no comment section was found.

More Actors You Might Like

Built by the same team and backed by the same transparent pricing philosophy: no hidden attempts, no wasted credits, no charge for failed results.

Actor	Description
YouTube Video Scraper	Scrape every video from a channel with views, durations, thumbnails, and insights.
YouTube Video Detail Scraper	Full video metadata: views, likes, comments, keywords, duration, and engagement insights.
YouTube Channel Scraper	Channel profiles with subscriber counts, engagement rates, contact info, and links.
YouTube Channel Scraper Fast	Same channel data as Channel Scraper but significantly faster. Better for high-volume and large-scale lookups.
YouTube Transcript Scraper	Extract the full transcript from any YouTube video, with optional timestamps per segment.

Get in Touch

Have questions, need custom scraping solutions, or want to integrate with your existing stack? We're here to help!

• Email: apizy.studio@gmail.com

We build custom scraping solutions tailored to your specific needs that are fast, reliable, and transparent.