YouTube Comments Scraper

A powerful Apify actor that extracts comments from YouTube videos with advanced filtering and customization options. Perfect for sentiment analysis, market research, content analysis, and social media monitoring.

✨ Features

• 🎯 Multi-Video Support: Scrape comments from multiple YouTube videos in a single run
• 📊 Flexible Comment Limits: Choose specific comment counts or extract all available comments
• 💬 Reply Extraction: Include comment replies for comprehensive conversation analysis
• 🔄 Smart Sorting: Order comments by "top" (most popular) or "newest" (most recent)
• 🌍 Localization: Specify country and language for region-specific content
• ⚡ High Performance: Optimized scraping with intelligent data extraction

🚀 Quick Start

Basic Usage

{
    "videoUrls": [
        "https://www.youtube.com/watch?v=dQw4w9WgXcQ"
    ]
}

Advanced Configuration

{
    "videoUrls": [
        "https://www.youtube.com/watch?v=dQw4w9WgXcQ",
        "https://www.youtube.com/watch?v=9bZkp7q19f0"
    ],
    "commentsPerVideo": 500,
    "scrapeAllComments": false,
    "includeReplies": true,
    "orderBy": "top",
    "geo": "US",
    "lang": "en"
}

📋 Input Configuration

The actor accepts the following configuration parameters:

Parameter	Type	Required	Default	Description
videoUrls	array	✅ Yes	-	YouTube video URLs or video IDs to scrape. Supports both full URLs (https://www.youtube.com/watch?v=VIDEO_ID) and video IDs (VIDEO_ID)
commentsPerVideo	integer	❌ No	100	Number of comments to extract per video. Ignored when scrapeAllComments is enabled. Minimum: 100
scrapeAllComments	boolean	❌ No	false	Extract all available comments from the video when enabled
includeReplies	boolean	❌ No	false	Include comment replies (approximately 10 replies per comment)
orderBy	string	❌ No	top	Sort comments by popularity: top or newest
geo	string	❌ No	-	ISO 3166-2 country code (e.g., US, GB, IN) for region-specific results
lang	string	❌ No	-	ISO 639-1 language code (e.g., en, es, fr) for localized content

Input Validation

• videoUrls must contain at least one valid YouTube URL or video ID
• geo must be a valid 2-letter country code (uppercase)
• lang must be a valid 2-letter language code (lowercase)
• commentsPerVideo must be at least 100 when specified

📤 Output Structure

The actor generates a structured dataset with the following fields for each comment:

{
    "commentId": "UgwYX91Z7rTb7a6jGux4AaABAg",
    "text": "This is an amazing video! Really helped me understand the concept better.",
    "published": "2 days ago",
    "likes": 42,
    "author": "John Doe",
    "authorThumb": "https://yt3.ggpht.com/ytc/AKedOLQexample",
    "authorId": "UC123456789012345678",
    "authorUrl": "/channel/UC123456789012345678",
    "isEdited": false,
    "isPinned": false,
    "replyCount": 3,
    "replyToken": "Eg0SC1Vnd1lXOTFaN3JUYjdhNmpHdXg0QWFBQUJBZw",
    "isReply": false
}

Field Descriptions

Field	Type	Description
commentId	string	Unique identifier for the comment
text	string	The comment content
published	string	Relative time when the comment was posted
likes	integer	Number of likes the comment received
author	string	Display name of the comment author
authorThumb	string	URL to the author's profile thumbnail
authorId	string	YouTube channel ID of the author
authorUrl	string	Relative URL to the author's channel
isEdited	boolean	Whether the comment has been edited
isPinned	boolean	Whether the comment is pinned by the creator
replyCount	integer	Number of replies to this comment
replyToken	string	Token for fetching replies (if applicable)
isReply	boolean	Whether this item is a reply to another comment

🔧 Use Cases

Market Research

Analyze customer sentiment and feedback on product-related videos to understand market trends and user preferences.

Content Analysis

Study engagement patterns and popular discussion topics to optimize content strategy.

Academic Research

Collect data for social media analysis, communication studies, and behavioral research.

Competitor Monitoring

Track comments on competitor videos to gather insights about their audience engagement.

💰 How much does it cost to scrape YouTube comments?

This Actor uses pay-per-event pricing.

Charge	Free plan	Bronze-Diamond plans
Actor start	$0.01	$0.01
Result saved to the default dataset	$0.004 per result	$0.0004 per result

The Actor start event is charged according to memory, at one event per GB with at least one event per run. The final cost depends mainly on how many comment and reply records are saved. Apify requires a maximum-charge limit of at least $0.10 per run; this is a spending cap, not a minimum fee. Test one or two videos with a limited comment count and check the Actor's Pricing tab before a large run.

🔌 Integrations

This actor seamlessly integrates with popular automation platforms:

• Make: Create automated workflows with YouTube comment data
• Zapier: Connect YouTube comments to 3000+ apps
• Google Sheets: Direct export to spreadsheets for analysis
• Airtable: Organize comment data in relational databases

🛠 Other YouTube Scraping Tools

If you like this Actor, you might also find these YouTube tools useful:

• 📥 YouTube Video Downloader: Download video or audio and receive direct media links.
• 🔍 YouTube Search Scraper: Discover videos, channels, playlists, and Shorts by keyword.
• 📺 YouTube Channel Scraper: Extract videos, Shorts, playlists, livestreams, and posts from channels.
• 📝 YouTube Transcript Scraper: Turn video URLs or IDs into structured transcript data.

⚠️ Important Notes

• Rate Limiting: The actor implements intelligent delays to respect YouTube's rate limits
• Comment Availability: Some videos may have comments disabled or limited by the creator
• Reply Limitations: Approximately 10 replies per comment are extracted to balance completeness and performance
• Geographic Restrictions: Some content may be region-restricted based on geo and lang settings

🤝 Support

For questions, bug reports, or feature requests drop an issue on the page.

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