Scrape Youtube To Dataset — Posts, Engagement & Profiles
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Pay per usage
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Scrape Youtube To Dataset — Posts, Engagement & Profiles
Scrape youtube to dataset data at scale with this powerful Apify actor. Extracts posts, engagement & profiles with automatic pagination and proxy rotation. Perfect for market research, competitive intelligence, and data-driven decision making.
Pricing
Pay per usage
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Developer

Donny Nguyen
Maintained by Community
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1
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a day ago
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YouTube to Dataset
Extract YouTube video titles, descriptions, transcripts, captions, view counts, and comments. No API key required. Export JSON for AI analysis and content research.
Features
- Extract video metadata: title, description, views, likes, publish date, channel info, duration, tags
- Extract transcripts/captions when available
- Extract comments with author, text, likes, and timestamps
- No YouTube API key required - uses browser-based extraction
- Stealth mode to handle anti-bot measures
Input
{"videoUrls": ["https://www.youtube.com/watch?v=dQw4w9WgXcQ"],"includeTranscript": true,"includeComments": false,"maxComments": 50}
Output
Each video produces a dataset item with:
url- Video URLtitle- Video titledescription- Video descriptionviewCount- Number of viewslikeCount- Number of likespublishDate- Publish datechannelName- Channel namechannelUrl- Channel URLduration- Video durationtags- Video tagstranscript- Full transcript text (if enabled)comments- Array of comments (if enabled)