YouTube Data API for AI-ready Video Metadata
Collect YouTube video intelligence and download content in bulk — with transcripts, metadata, and optional comments delivered directly to your cloud storage.
{
"job_id": "job_abc123",
"status": "done",
"created_at": "2024-01-15T10:30:00Z",
"progress": {
"processed": 100,
"total": 100
},
"outputs": [
{
"type": "metadata_json",
"uri": "s3://bucket/youtube-data/metadata.json"
},
{
"type": "video_mp4",
"uri": "s3://bucket/youtube-data/video.mp4"
},
{
"type": "transcript_json",
"uri": "s3://bucket/youtube-data/transcript.json"
}
],
"errors": []
}
Search, extract metadata, comments, and transcripts from YouTube videos at scale.
Download video and audio files with direct delivery to your cloud storage.
Use cases
From AI/ML training to competitive intelligence — see how teams use YouTube video data at scale.
Model training & multimodal datasets
Build training datasets with video, audio, and transcript data for AI/ML models.
Trend tracking & competitive research
Monitor competitor channels and track trending topics in your industry.
Sentiment monitoring
Analyze engagement and sentiment from comments and transcript context.
Channel monitoring & content intelligence
Track channel performance and discover content opportunities.
Localization & transcript workflows
Extract subtitles and transcripts for localization and content repurposing.
Data lake pipelines & scheduled refresh
Build scheduled jobs to refresh your data lake with latest video intelligence.
Product APIs
Two powerful APIs working together: scrape metadata and transcripts, or download video/audio files at scale.
YouTube Scraper API
Search, extract metadata, comments, and transcripts from YouTube videos at scale.
- Search: videos / channels / playlists (by keyword, channel, filters)
- Metadata extraction: title, description, publish date, views/likes, tags, etc.
- Comments (optional, configurable)
- Transcripts/subtitles (if available)
- Output: structured JSON
- Pagination & rate-friendly job mode
YouTube Downloader API
Download video and audio files at scale with direct delivery to your cloud storage.
- Input: video URLs/IDs (single + bulk list)
- Output: MP4/MP3 (quality selection)
- Delivery: direct upload to customer storage
- Job status: queued → running → delivered → done/failed
- Webhook/callback support
How it works
Simple three-step process: submit your request, we process it at scale, and deliver results to your storage.
Submit
URLs/IDs or a query/job request
Process
Extract links, download, enrich, package outputs
Deliver
To your storage + return job report (and webhook)
