YouTube Comments Scraper - Scrape YouTube Comments Fast & Easy

The most powerful YouTube comment scraper to scrape YouTube comments from videos, channels, and playlists. Extract YT comments with sentiment analysis, language detection, and advanced filtering. No YouTube API key required!

🚀 Why Use This YouTube Video Comment Scraper?

• No API Key Required - Scrape YouTube comments without YouTube Data API quotas or restrictions
• Scrape from Multiple Sources - Extract comments from individual videos, entire channels, or playlists
• Advanced Filtering - Filter by keywords, likes, authors, dates, and more
• Sentiment Analysis - Automatically analyze comment sentiment (positive/negative/neutral)
• Language Detection - Identify comment languages automatically
• Fast & Reliable - Built on yt-dlp, the most reliable YouTube extraction tool
• Proxy Support - Built-in Apify proxy rotation to avoid rate limiting
• Structured Data - Get clean JSON or CSV output ready for analysis

📊 What Can You Scrape?

This YT comments scraper extracts comprehensive data from every comment:

• Comment text and ID
• Author name, ID, and profile picture
• Like count and reply count
• Timestamp and relative time
• Verified status and channel owner status
• Video metadata (title, channel, views, etc.)
• Sentiment analysis (optional)
• Language detection (optional)
• Reply threads (optional)

🎯 Use Cases for YouTube Comment Scraping

• Market Research - Analyze customer feedback and opinions
• Sentiment Analysis - Understand audience reactions to content
• Competitor Analysis - Monitor competitor video engagement
• Content Strategy - Identify trending topics and audience interests
• Academic Research - Collect data for social media studies
• Brand Monitoring - Track brand mentions and sentiment
• Influencer Analysis - Evaluate influencer engagement quality

🔧 How to Scrape YouTube Comments

Input Options

1. Scrape Comments from Videos

{
  "inputType": "video",
  "videoUrls": [
    "https://www.youtube.com/watch?v=dQw4w9WgXcQ",
    "https://www.youtube.com/watch?v=jNQXAC9IVRw"
  ],
  "maxCommentsPerVideo": 1000
}

2. Scrape Comments from Channels

{
  "inputType": "channel",
  "channelUrls": ["https://www.youtube.com/@MrBeast", "@TechReviewer"],
  "videoLimit": 10
}

3. Scrape Comments from Playlists

{
  "inputType": "playlist",
  "playlistUrls": [
    "https://www.youtube.com/playlist?list=PLrAXtmErZgOeiKm4sgNOknGvNjby9efdf"
  ]
}

Advanced Filtering

Filter by Keywords

{
  "searchKeywords": ["amazing", "love this", "tutorial"],
  "excludeKeywords": ["spam", "bot", "scam"]
}

Filter by Engagement

{
  "minCommentLikes": 10,
  "minVideoViews": 10000
}

Comment Sorting

{
  "commentSortBy": "top",
  "includeReplies": true,
  "maxRepliesPerComment": 50
}

Enable Analysis Features

{
  "extractSentiment": true,
  "detectLanguage": true
}

📤 Output Format

Individual Comment Example

{
  "comment_id": "UgzX1234567890",
  "video_id": "dQw4w9WgXcQ",
  "video_title": "Rick Astley - Never Gonna Give You Up",
  "video_url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ",
  "video_channel": "Official Rick Astley",
  "video_channel_id": "UCuAXFkgsw1L7xaCfnd5JJOw",
  "text": "This is the best song ever! Never gets old 🎵",
  "author": "JohnDoe123",
  "author_id": "UCabcdefghijklmnop",
  "author_thumbnail": "https://yt3.ggpht.com/...",
  "author_is_verified": false,
  "author_is_uploader": false,
  "like_count": 1247,
  "reply_count": 23,
  "timestamp": "2025-01-15T10:30:00Z",
  "time_text": "2 weeks ago",
  "is_reply": false,
  "parent_comment_id": null,
  "sentiment": {
    "label": "positive",
    "score": 0.92
  },
  "language": "en",
  "scraped_at": "2025-01-15T12:00:00Z"
}

⚙️ Configuration Options

Parameter	Type	Description
inputType	string	Source type: "video", "channel", or "playlist"
videoUrls	array	YouTube video URLs or IDs
channelUrls	array	YouTube channel URLs or handles
playlistUrls	array	YouTube playlist URLs or IDs
videoLimit	integer	Max videos to process from channel/playlist
maxCommentsPerVideo	integer	Max comments per video
commentSortBy	string	"top" or "new"
includeReplies	boolean	Extract comment replies
maxRepliesPerComment	integer	Max replies per comment
minCommentLikes	integer	Minimum likes filter
searchKeywords	array	Include only comments with these keywords
excludeKeywords	array	Exclude comments with these keywords
minVideoViews	integer	Minimum video views filter
extractSentiment	boolean	Enable sentiment analysis
detectLanguage	boolean	Enable language detection
useProxy	boolean	Use Apify proxies (recommended)
maxConcurrency	integer	Parallel processing (1-5)

🎓 Tips for Best Results

1. Use Proxies - Enable proxy support to avoid rate limiting
2. Start Small - Test with a few videos before scaling up
3. Filter Strategically - Use keyword filters to get relevant comments
4. Sort by Top - Get the most engaging comments first
5. Include Replies - Capture full conversation threads
6. Enable Sentiment - Understand comment tone automatically
7. Limit Concurrency - Use 2-3 concurrent requests to avoid blocks

🔍 SEO Keywords

This actor helps you:

• Scrape YouTube comments efficiently
• Extract YT comments without API limits
• YouTube video comment scraper for data analysis
• Bulk YouTube comment extraction
• YouTube comments data mining
• Social media sentiment analysis
• YouTube engagement metrics

🛠️ Technical Details

• Built with: Python, yt-dlp, Apify SDK
• No API Key: Works without YouTube Data API
• Proxy Support: Built-in residential proxy rotation
• Rate Limiting: Automatic request throttling
• Error Handling: Robust retry logic
• Output Formats: JSON, CSV

📝 Common Questions

Q: Do I need a YouTube API key? A: No! This scraper works without any API keys or quotas.

Q: Can I scrape comments from private videos? A: No, only public videos are supported.

Q: How many comments can I scrape? A: There's no hard limit, but use reasonable limits to avoid rate limiting.

Q: Does it work with age-restricted videos? A: Some age-restricted videos may not be accessible.

Q: Can I scrape comment replies? A: Yes! Enable includeReplies: true to get full conversation threads.

Q: How accurate is sentiment analysis? A: The sentiment analysis uses VADER, which is ~80% accurate for social media text.

🚀 Getting Started

1. Click "Try for free" or "Buy" to add this actor to your account
2. Configure your input (video URLs, channels, or playlists)
3. Set your filters and options
4. Click "Start" and wait for results
5. Download your data as JSON or CSV

💡 Example Use Cases

Market Research

Scrape comments from competitor videos to understand customer pain points and desires.

Content Strategy

Analyze top comments on viral videos to identify trending topics and audience interests.

Brand Monitoring

Track mentions of your brand across YouTube and analyze sentiment.

Academic Research

Collect large-scale comment data for social media and communication studies.

Influencer Vetting

Evaluate comment quality and engagement on influencer videos before partnerships.

📊 Performance

• Speed: ~100-500 comments per minute (depending on video)
• Reliability: 99%+ success rate on public videos
• Scalability: Process thousands of videos in a single run

🔗 Related Actors

• YouTube Video Scraper
• YouTube Channel Scraper
• Instagram Comments Scraper
• TikTok Comments Scraper

📞 Support

Need help? Contact us through:

• Apify Console support chat
• GitHub issues
• Email support

📄 License

This actor is provided as-is for data extraction purposes. Please respect YouTube's Terms of Service and robots.txt. Use responsibly and ethically.

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Start scraping YouTube comments today! No API key required, no quotas, no limits. Get the data you need for analysis, research, and insights.

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