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YouTube Comments Scraper API - Extract Video Comments Fast — YouTube | Lagic

Built ForMarketing & AdvertisingBrand ManagementContent Creation

Gain Audience Insights from YouTube Video and Shorts Comments

Curated by Lagic·Verified working

Configure Agent

Paste the Youtube URLs, and get the results immediately. Video and Shorts URLs are supported.

Sorts comments by the given option.

Maximum number of items that you want as output.

Function that takes each of the objects as argument and returns data that will be mapped by the function itself. This function is not intended for filtering, please don't use it for filtering purposes or you will get banned automatically.

Results to deliver

100 credits

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Pricing

1 credit per result
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Sample Data Preview

Comment author's name and unique IDURLs for the comment author's profile thumbnailsUnique identifier for each commentNumber of likes a comment receivedTime and date when the comment was publishedTotal count of replies to a comment
Sample Text...https://...100953532026-04-05896
Sample Text...https://...10095782026-04-05682
..................
Exports as:CSVXLSXJSON

Overview

Extract YouTube video and Shorts comments, including author names, like counts, and full comment text, to analyze audience sentiment and engagement for content strategy or market research.

### Understand Your Audience's Voice YouTube comments are a rich, unfiltered source of audience feedback. This tool allows you to systematically extract comments from any public YouTube video or Short, converting scattered feedback into structured data. Whether you're a content creator seeking to understand viewer reactions, a brand monitoring mentions, or a researcher analyzing public sentiment, access to this data is invaluable. ### What Data You Get For each comment, you'll receive key details including the comment's unique ID, the full text of the comment, and when it was published. Crucially, you'll also get details about the author: their name, a unique ID, and URLs for their profile thumbnails. To gauge engagement, the tool provides the number of likes each comment received and the count of replies it generated. You can choose to sort comments by 'top' (most relevant/liked) or 'latest' to focus your analysis. ### How to Use This Data The extracted comment data can fuel a variety of strategic initiatives. Analyze sentiment to understand reactions to new product launches or content pieces. Identify recurring questions or feedback themes to inform your content calendar or product development. Track competitor audience engagement or monitor brand mentions to stay ahead of public perception. The structured output makes it straightforward to import into analytical tools for deeper dives.

Key Capabilities

  • ✓ Comment author's name and unique ID
  • ✓ URLs for the comment author's profile thumbnails
  • ✓ Unique identifier for each comment
  • ✓ Number of likes a comment received
  • ✓ Time and date when the comment was published
  • ✓ Total count of replies to a comment
  • ✓ Full text of the comment
  • ✓ Type of output item (e.g., comment)
  • ✓ Content creators analyzing audience feedback to refine their video strategy and improve engagement.
  • ✓ Marketing agencies conducting sentiment analysis on campaign-related videos to measure public perception.
  • ✓ Brands monitoring mentions and discussions about their products or services on YouTube for reputation management.
  • ✓ Market researchers gathering consumer opinions and trends related to specific topics or industries.
  • ✓ Competitor analysis to understand how audiences interact with rival content and identify opportunities.
  • ✓ Influencer vetting by examining the quality and engagement of comments on their past videos.
  • ✓ Academic researchers studying social discourse, public opinion, or communication patterns within online communities.

Field Dictionary

How To Run This Extractor

1

1. Provide one or more YouTube video or Shorts URLs where you want to extract comments.

2

2. Choose your preferred sorting method for comments: by 'top' or 'latest'.

3

3. Optionally, set a maximum number of comments you wish to retrieve in the output.

4

4. (Optional, for advanced users) Add a custom mapping function if you need to transform the data during extraction.

5

5. Run the tool to begin the comment extraction process.

6

6. Download your structured data containing all the requested YouTube comments and their details.

Frequently Asked Questions

What kind of YouTube links can I use with this tool?
You can use URLs for standard YouTube videos and YouTube Shorts. Ensure the videos are public and have comments enabled.
Do I need any technical skills to use this tool?
What export formats are available for the extracted data?
How can I sort the comments?
Is this tool suitable for client work?
How reliable is the data extraction?
Can I set a limit on how many comments are extracted?
How fresh is the data I receive?
How does this tool handle YouTube's platform changes?
Is there a way to transform the data during extraction?