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.
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
Trend tracking & competitive research
Sentiment monitoring
Channel monitoring & content intelligence
Localization & transcript workflows
Data lake pipelines & scheduled refresh
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)
Download YouTube video and audio files via one API call
Get started with simple API calls. Copy examples in your preferred language.
curl -X POST https://api.infatica.io/v1/youtube/downloads \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"items": [
{"url": "https://youtube.com/watch?v=abc123"}
],
"format": "mp4",
"quality": "best",
"delivery": {
"type": "s3",
"bucket": "your-bucket",
"path": "videos/"
}
}'
Python
Full Python SDK with async support
Node.js
TypeScript SDK with webhook helpers
Cloud storage delivery
Results delivered straight to your cloud storage
FAQ
Common questions about the YouTube Video Data API
You can extract video metadata (title, description, views, likes, tags, publish date), comments (optional), and transcripts/subtitles. You can also download the video or audio files themselves.
Yes, we support transcripts and subtitles in all languages available on YouTube. The API returns transcripts in structured JSON format, making them ready for AI/ML processing.
Yes, the Downloader API supports both video (MP4) and audio-only (MP3) downloads. You can specify the format and quality in your job request.
When you create a job, you specify your cloud storage credentials (S3/GCS/Azure). Once processing is complete, files are automatically uploaded directly to your bucket. You receive a job report with all file URIs.
Yes, the API is designed for bulk operations. You can submit thousands of URLs in a single job. For scheduled jobs, you can use webhooks or polling to check job status and trigger follow-up actions.
Standard metadata includes: title, description, channel, publish date, view count, like count, comment count, duration, tags, category, and more. See our API documentation for the complete schema.
Yes, comments are optional and configurable. You can enable comment extraction in your scrape job request. Comments are returned in structured JSON format with author, text, likes, and timestamps.
Our API is designed for collecting publicly available data. Customers are responsible for ensuring their use complies with applicable laws, YouTube's Terms of Service, and any relevant regulations. We provide a takedown process for content owners who wish to request removal.
Start building your YouTube data pipeline today.
Request your API key and start building your YouTube data pipeline in minutes.
