Social

YouTube Comments Scraper

4.7Chrome Store Rating
900+Users

Extract YouTube comments, reply counts, likes, and commenter details from any video. Analyze audience sentiment and feedback at scale without YouTube API quota limits.

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Pricing

Pay once, scrape forever

$29.99 one-time

Unlimited rows & unlimited scrapes

  • All Free plan features, plus:
  • Unlimited rows per scrape
  • Unlimited scrapes per day
  • 14-day cloud storage
  • Priority support
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YouTube Comments Scraper

Collect posts, comments, likes, shares and engagement metrics from social platforms to monitor trends, influencers and campaign performance. Outputs structured datasets ready for social listening and content analysis.

Relevant For

How to Use

  1. 1

    Define search scope

    Choose hashtags, profiles, or subreddits and set date ranges for collection.

  2. 2

    Select post fields

    Choose content, author, date, likes, comments and tags to scrape.

  3. 3

    Run & moderate

    Run the scraper and filter out spam; sample results for relevancy.

  4. 4

    Export & analyze

    Export for trend analysis, social listening, or campaign optimization.

Fields Scraped

FieldType
Post ContentText
Post DateDate
Comments CountNumber
Likes CountNumber
Shares CountNumber
TagsText
Followers CountNumber
Profile BioURL
WebsiteURL
LocationText
DescriptionText
RatingNumber
Review CountNumber

Export Formats

CSVExcelGoogle SheetsJSONAPI

Example Output

Data Preview
CommentAuthorLikesVideo TitleTimestamp
This video explained everything clearlyuser123421AI Tutorial2026-03-02
Best coding tutorial I've seendevguru210JavaScript Basics2026-03-01

Frequently Asked Questions

What information can be extracted from YouTube comments?

You can collect comment text, usernames, likes, timestamps, and video URLs.

Can YouTube comment data be used for sentiment analysis?

Yes, comment data can be analyzed to understand audience feedback and sentiment.

Can the comments be exported?

Yes, extracted comments can be exported to CSV, Excel, or JSON.

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