YouTube Transcript Scraper Extract transcripts and metadata from YouTube videos at scale. Scrape individual videos or entire channels with full transcript text, timestamps, and engagement metrics. ## What it does This actor extracts complete video data including: - Full transcript with timestamps (when available) - Video metadata (title, description, duration) - Engagement metrics (views, likes, subscriber count) - Channel information ## Input | Field | Type | Description | |-------|------|-------------| | urls | array | YouTube video URLs to scrape | | channel_url | string | Channel URL to scrape recent videos from | | max_videos | integer | Max videos per channel (default: 10) | | start_date | string | Filter: videos after this date (YYYY-MM-DD) | | end_date | string | Filter: videos before this date (YYYY-MM-DD) | ## Output json { "video_id": "dQw4w9WgXcQ", "title": "Rick Astley - Never Gonna Give You Up", "channel_name": "Rick Astley", "upload_date": "2009-10-25T00:00:00+00:00", "transcript": [ {"text": "We're no strangers to love", "start": 18.0, "end": 21.5}, {"text": "You know the rules and so do I", "start": 21.5, "end": 25.0} ], "url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ", "duration_seconds": 212, "language": "en", "thumbnails": "https://i.ytimg.com/vi/dQw4w9WgXcQ/hqdefault.jpg", "view_count": 1500000000, "description": "The official video for Never Gonna Give You Up...", "like_count": 15000000, "subscriber_count": 3500000 } ## Examples Scrape specific videos: json { "urls": [ "https://www.youtube.com/watch?v=dQw4w9WgXcQ", "https://youtu.be/fJ9rUzIMcZQ" ] } Scrape recent channel videos: json { "channel_url": "https://www.youtube.com/@Fireship", "max_videos": 10, "start_date": "2024-01-01" } ## Use cases - Content analysis - Analyze video transcripts for sentiment, topics, keywords - Research - Collect video data for academic or market research - SEO - Extract metadata for competitive analysis - Accessibility - Get transcripts for content repurposing - AI training - Build datasets for machine learning models ## Notes - Transcripts depend on video having captions (manual or auto-generated) - Uses residential proxies for reliable extraction - Respects YouTube's rate limits automatically