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YouTube Video Comments scraper

Pricing

$4.99 / 1,000 results

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YouTube Video Comments scraper

YouTube Video Comments scraper

Developed by

PowerAI

PowerAI

Maintained by Community

Extract comprehensive comments from any YouTube video with detailed metadata including author information, engagement metrics, and timestamps. Perfect for sentiment analysis, community engagement tracking, and content feedback analysis.

5.0 (1)

Pricing

$4.99 / 1,000 results

1

Total users

1

Monthly users

1

Runs succeeded

>99%

Last modified

2 days ago

💬 YouTube Video Comments Scraper

A powerful tool for extracting and analyzing comments from any YouTube video! This actor helps you gather comprehensive information about video comments, including author details, engagement metrics, and timestamps.

✨ Key Features

  • 💬 Extract comments from any public YouTube video
  • 👤 Get detailed comment metadata including:
    • Author information and badges
    • Comment content and timestamps
    • Engagement metrics (likes, replies)
    • Pinned status and creator hearts
  • 🔄 Support for comment replies
  • 📈 Support for large comment sections with automatic pagination
  • 🌐 Language and region customization
  • 📋 Clean and structured JSON output

💪 Why Choose This Actor?

  • Comprehensive: Get all comment details from any video
  • Flexible: Support for multiple comment parameters
  • Efficient: Automatic pagination for large comment sections
  • Structured: Clean JSON output for easy integration
  • Reliable: Stable and consistent data extraction
  • User-Friendly: Simple input parameters

🎯 Perfect For

  • 📊 Community Managers
  • 📈 Social Media Analysts
  • 🎥 Content Creators
  • 📱 Marketing Teams
  • 🔍 Sentiment Analysts
  • 📋 Customer Support Teams

📈 Use Cases

  1. Sentiment Analysis: Analyze audience reactions and feedback
  2. Community Management: Monitor and respond to comments
  3. Content Research: Understand audience preferences
  4. Customer Support: Track and address user issues
  5. Market Research: Study audience engagement patterns

📝 Input Requirements

The actor accepts the following input parameters:

  • id (required): The YouTube video ID
  • maxResults (optional): Maximum number of comments to extract (default: 20)
  • hl (optional): Language code for results (default: 'en')
  • gl (optional): Region code for results (default: 'US')
  • cursor (optional): Pagination cursor for next page of comments

📊 Output

The actor returns a structured JSON response containing:

  • Comment details including:
    • Author information (name, avatar, badges)
    • Comment content and timestamps
    • Engagement metrics (likes, replies)
    • Pinned status and creator hearts
    • URLs (author channel)

Input Example

{
"id": "kJQP7kiw5Fk",
"maxResults": 20,
"hl": "en",
"gl": "US"
}

Output Example

[
{
"commentId": "UgwW1S95-KHLW2bUI-14AaABAg",
"content": "2017: People came to listen song. \n2025: People come to check views.",
"author": {
"channelId": "UC9Hq2JZT1aKlG8nJqd7CB-A",
"title": "@Armaansingh-qv3qo",
"isVerified": false,
"isArtist": false,
"isCreator": false,
"avatar": [
{
"url": "https://yt3.ggpht.com/noZToQvZxQysCE7i3Zs-a3O5iyHWXV_fPXke15wxaM_wFCoY9XbhWUW4pZMdhIwxrYJEmz1a=s88-c-k-c0x00ffffff-no-rj",
"width": 88,
"height": 88
}
],
"avatarThumbnailUrl": "https://yt3.ggpht.com/noZToQvZxQysCE7i3Zs-a3O5iyHWXV_fPXke15wxaM_wFCoY9XbhWUW4pZMdhIwxrYJEmz1a=s88-c-k-c0x00ffffff-no-rj"
},
"publishedTimeText": "4 years ago (edited)",
"stats": {
"votes": 726,
"replies": 915
},
"cursorReplies": "Eg0SC2tKUVA3a2l3NUZrGAYygwEaUBIaVWd3VzFTOTUtS0hMVzJiVUktMTRBYUFCQWciAggAKhhVQ0xwOFJCaFFIdTl3U3NxNjJqX01kNkEyC2tKUVA3a2l3NUZrQABICoIBAggBQi9jb21tZW50LXJlcGxpZXMtaXRlbS1VZ3dXMVM5NS1LSExXMmJVSS0xNEFhQUJBZw%3D%3D"
},
...
]