YouTube Comments Scraper - Extract YouTube Comments Data and Analytics Professional YouTube comments scraper that extracts comprehensive comment data from any YouTube video. Get detailed comment analytics, author information, engagement metrics, and conversation threads for market research and sentiment analysis. ## Key Features of YouTube Comments Data Extraction - YouTube Comments Scraping: Extract comments from individual videos or multiple videos in batch - Comprehensive Comment Analytics: Get comment text, author details, like counts, reply counts, and timestamps - Thread Analysis: Extract comment replies and conversation chains - Author Information: Username, channel ownership status, and creator heart indicators - Engagement Metrics: Complete social media interaction data and performance indicators - Sorting Options: Top comments or newest first sorting for different analysis needs - Multiple Export Formats: JSON, CSV, Excel, and XML export options - High-Performance Scraping: Fast HTTP-based extraction without browser overhead - Rate Limiting Protection: Built-in throttling and retry mechanisms - Batch Processing: Handle multiple YouTube videos simultaneously ## YouTube Comments Scraper Input Parameters Configure your YouTube comments scraping with these input options: json { "startUrls": [ { "url": "https://www.youtube.com/watch?v=VIDEO_ID" } ], "maxComments": 100, "commentsSortBy": "0" } Input Fields: - startUrls: Array of YouTube video URLs to scrape comments from - maxComments: Maximum number of comments to extract per video (default: 100, max: 10000) - commentsSortBy: Comment sorting order ("0" for top comments, "1" for newest first) ## YouTube Comments Scraper Output Data Structure Each scraped YouTube comment includes detailed analytics and metadata: json { "comment": "Excellent tutorial! This helped me solve my problem.", "cid": "UgwXYZ789ABC", "author": "@TechEnthusiast", "videoId": "abc123xyz", "pageUrl": "https://www.youtube.com/watch?v=abc123xyz", "commentsCount": 1250, "publishedTimeText": "2 days ago", "replyCount": 12, "voteCount": 234, "authorIsChannelOwner": false, "hasCreatorHeart": false, "type": "comment", "replyToCid": null, "title": "Complete Tutorial: Getting Started" } Complete Data Fields: - Unique comment and video identifiers - Full comment text and author information - Comprehensive engagement statistics - Publication timestamps and metadata - Reply thread relationships - Creator interaction indicators ## Popular Use Cases for YouTube Comments Scraping ### Social Media Sentiment Analysis - Analyze audience reactions and brand perception across video content - Measure customer satisfaction and product feedback - Track trending topics and viral discussions ### Market Research and Consumer Insights - Extract customer feedback from product review videos - Understand pain points and identify feature requests - Monitor competitor video engagement and audience feedback ### Content Strategy and Performance Analysis - Understand what content resonates with audiences - Analyze engagement patterns and comment themes - Optimize content strategy based on viewer feedback ### Competitive Intelligence - Monitor competitor video comments and discussions - Track brand mentions and user-generated content - Analyze market positioning and audience preferences ### Academic Research and Studies - Collect social media data for research studies - Analyze user behavior and online community dynamics - Study digital communication patterns and trends ### Brand Monitoring and Reputation Management - Track brand mentions across YouTube content - Monitor customer service interactions - Identify reputation management opportunities ## YouTube Comments Data Extraction Capabilities This professional scraper handles all types of YouTube comment data: - Individual Video Comments: Extract from specific YouTube video URLs - Batch Video Processing: Multiple videos in single operation - Comment Thread Analysis: Parent comments and reply chains - Top Comments: Most popular and relevant comments - Recent Comments: Latest comment activity - Author Verification: Channel ownership and creator status - Engagement Tracking: Real-time likes and reply metrics - Timestamp Analysis: Publication date and time tracking ## Legal and Ethical Guidelines for YouTube Comments Scraping - Public Content Only: Extract data exclusively from public YouTube comments - Terms of Service Compliance: Strictly adhere to YouTube's Terms of Service - Privacy Protection: Never collect or process private user data - Legitimate Research: Use for valid research, analysis, and business intelligence - Rate Limiting: Respect YouTube's servers with appropriate request delays - Data Ethics: Ensure compliance with GDPR, CCPA, and privacy regulations - Responsible Use: Conduct ethical social media data collection practices ## Technical Performance Features - High-Speed Extraction: 1000+ comments per minute processing capability - HTTP-Based Scraping: Direct API calls without browser overhead - Automatic Retries: Robust error handling and recovery mechanisms - Concurrent Processing: Parallel extraction for multiple videos - Memory Optimization: Efficient resource usage for large-scale operations - Proxy Compatibility: Enhanced reliability with proxy support ## Support and Resources Need assistance with YouTube comments scraping? - Review comprehensive input configuration options - Access detailed output schema documentation - Utilize Apify platform support and resources - Contact technical support for advanced assistance ## License Apache-2.0