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Best Youtube Comments Scraper — YouTube | Lagic

Built ForMarketing AgenciesContent CreatorsMarket Research

Understand Audience Sentiment from YouTube Video Comments

Curated by Lagic·Verified working

Configure Agent

The URL of the YouTube video you want to get the comments from.

The maximum number of comments to scrape from the YouTube video. Max for top comments is around 1k and 7k for new comments.

The order of the comments to scrape. Can be 'top' or 'newest'.

Results to deliver

100 credits

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Pricing

1 credit per result
✓ 30 free credits on signup✓ Refund if 0 results✓ No card required

Sample Data Preview

Full comment textNumber of likes on each commentNumber of replies to each commentReply depth within a conversation threadComment author's name and channel URLIndication if the author is the video's creator or a verified channel
Value...3865Value...https://...10092
Value...40342Value...https://...10091
..................
Exports as:CSVXLSXJSON

Overview

This tool extracts comments from YouTube videos, including the comment text, author details, like counts, and reply counts. It's ideal for content creators, marketers, and researchers to gauge audience reaction and inform content strategy.

### Extracting YouTube Comment Data YouTube comments are a rich source of direct audience feedback, and this tool provides a structured way to collect them. Instead of manually sifting through comments, you can get organized data for analysis, whether you're tracking sentiment, gathering content ideas, or monitoring competitor engagement. Simply provide the URLs of the YouTube videos you're interested in. You can specify how many comments you need, with a limit of around 1,000 for 'top' comments and up to 7,000 for 'newest' comments, which is useful for tracking recent discussions. You also choose whether to prioritize comments by their popularity ('top') or by when they were posted ('newest'). ### What Data You'll Receive The output delivers a detailed breakdown for each comment, including: * **The full comment text**: See exactly what viewers are saying. * **Author information**: Get the commenter's name, channel ID, and a link to their channel. You'll also see if the author is the video's creator or if their channel is verified. * **Engagement metrics**: Understand how comments are performing with data on the number of likes and replies each comment has received. * **Reply context**: For replies to other comments, the 'reply level' indicates how deep into a conversation thread the comment sits. * **Publishing details**: See when the comment was posted and its approximate age (e.g., '2 days ago'). This structured data is valuable for a range of uses, from in-depth sentiment analysis to identifying trending topics or specific questions your audience has. It moves beyond superficial metrics to give you a clearer picture of viewer engagement and public perception.

Key Capabilities

  • Full comment text
  • Number of likes on each comment
  • Number of replies to each comment
  • Reply depth within a conversation thread
  • Comment author's name and channel URL
  • Indication if the author is the video's creator or a verified channel
  • Time when the comment was published
  • Human-readable published time (e.g., '1 month ago')
  • Content creators analyzing audience reactions to specific videos to refine future content strategy.
  • Marketing agencies performing sentiment analysis on brand mentions in video comments to gauge public perception.
  • Market researchers collecting qualitative data on consumer opinions about products or services discussed in YouTube videos.
  • Competitor analysis, by extracting comments from competitor videos to understand their audience's preferences and pain points.
  • Community managers identifying frequently asked questions or recurring themes within their video comments for FAQ development or content planning.
  • Academic researchers gathering public discourse data for social studies or media analysis projects.
  • Public relations teams monitoring reactions to corporate announcements or campaigns shared via video content.

Field Dictionary

How To Run This Extractor

1

Paste the YouTube video URLs into the designated input field.

2

Specify the maximum number of comments you wish to extract from each video.

3

Choose whether to order the comments by 'top' (most popular) or 'newest' (most recent).

4

Initiate the extraction process and await completion.

5

Download your structured comment data in your preferred format.

Frequently Asked Questions

What skill level is required to use this tool?
No coding or technical expertise is required. You simply provide video URLs and set your preferences.
What formats can I export the comment data in?
Is it compliant to extract YouTube comments?
Can I extract comments from multiple YouTube videos at once?
What is the maximum number of comments I can extract?
How fresh is the data I receive?
Can I use this for client work?
How does this tool handle replies to comments?
What's the difference between 'top' and 'newest' comments?
Is there a limit to how many videos I can process?