Extract YouTube Data
Channel, video, and comment data from YouTube — without quota anxiety.
Tell AuraCrawl what you need from YouTube in plain language — "every upload from these 300 channels, with view counts a week after posting," "all comments on videos mentioning this product." The official API rations exactly the fields most analyses need. We extract from the public surface, so the fields you asked for are the fields you get.
What a response looks like
REQUEST
ask“Tell AuraCrawl what you need from YouTube in plain language — which entities, which fields, how often. That sentence is the spec.”
{
"channel": {
"name": "TechWiser",
"handle": "@TechWiser",
"subscribers": 4210000
},
"video": {
"video_id": "xQ8mT2hVwJc",
"title": "iPhone 17 Pro — The Honest Review",
"views": 1842033,
"likes": 61204,
"comments_count": 8412,
"duration_seconds": 743,
"published_at": "2026-08-10T18:30:00+05:30"
}
}What you can extract
- Channel metadata: subscribers, upload counts, descriptions
- Video titles, descriptions, durations, and publish dates
- View, like, and comment counts — including deltas over time
- Comment text with threading preserved
- Playlist contents and ordering
- Upload schedules derived from publish history
PIPELINE Aura Vision keeps extraction stable against YouTube's constantly shifting client markup; Aura Build delivers deltas, so "what changed since last run" is a field, not a diff you compute.
Request YouTube data.
Describe the fields, the volume, and the cadence. We scope the extraction and deliver a sample before you commit.