YouTube Channel Scraper
Collect structured YouTube channel data for content intelligence, outreach, and competitor monitoring.
This actor crawls one or many YouTube channels and returns structured channel-level and video-level metadata. It is designed for repeatable research workflows where teams need fresh creator intelligence without manually opening each channel.
Benefits
- Reduce manual channel research from hours to minutes with consistent output.
- Compare multiple creators side-by-side using normalized fields.
- Feed CRM, BI dashboards, or lead scoring models with current YouTube signals.
Use cases and ideal users
- Agency teams building influencer shortlists by niche and engagement profile.
- Growth teams tracking competitor publishing cadence and top-performing topics.
- Sales teams sourcing creator contact routes via linked social profiles.
Typical output fields
- Channel basics: channel name, URL, handle, subscriber count (when visible).
- Video metadata: title, URL, publish date, views, duration, and thumbnails.
- Profile context: linked social accounts, channel description, and tags/categories when available.
Practical workflow
A simple, repeatable way to go from inputs to a dataset you can use.
- Prepare a list of target channel URLs or handles in your niche.
- Run the actor with your input list and desired limits.
- Export dataset to CSV/JSON and enrich or score channels in your internal stack.
- Schedule recurring runs to monitor changes over time.
Frequently asked questions
What input should I prepare first?
Start with a small list of clean URLs or keywords. Run a small validation batch first, then scale.
How do I make this repeatable?
After validation, add scheduling in Apify and connect outputs to your dataset/API pipeline.
Can I combine this with other actors?
Yes. Many teams chain collection + enrichment + QA actors for stronger data quality.
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