Extract comprehensive data from individual YouTube videos - title, channel name, channel URL, subscriber count, view count, like count, publish date, full description, video tags, and comment count - to analyze video performance and content strategy in depth.
Every YouTube video page is a rich data source far beyond what the search results listing shows. On the video page itself you find the full video title, channel name and subscriber count, channel URL, total view count, like count, upload date, full video description (often hundreds of words including links and timestamps), video tags, and the total number of comments. This deep metadata drives competitive analysis in ways that search result summaries cannot.
When you want to understand exactly why a particular video accumulated 5 million views - what keywords appear in the description, what tags the creator used, how long the description is, how the channel packaged the content - you need the video page level data. Content creators use this to reverse-engineer high-performing competitors' videos. SEO analysts study descriptions and tags to understand YouTube's content taxonomy.
Marketers evaluating influencer partners need verified view and engagement data. Researchers tracking misinformation study how viral videos are structured. This robot extracts the complete metadata from individual YouTube video pages for deep analysis.
What individual YouTube video scraping delivers:
| Field | Example Value | Use For | Accessible On | Data Type |
|---|---|---|---|---|
| Video Title | How to Build a Growth Strategy in 2024 | Content analysis and SEO optimization | Video page header | Text |
| Channel URL | youtube.com/@brandbuild | Direct channel access and analytics | Video page sidebar | URL |
| Subscriber Count | 450,000 | Influencer evaluation and credibility assessment | Video page sidebar | Number |
| View Count | 2,850,000 | Performance benchmarking and viral analysis | Video page header | Number |
| Like Count | 125,400 | Engagement rate calculation and content evaluation | Video page stats | Number |
No account required. The robot reads the public YouTube video page and extracts all available metadata.
Ready to get started?
Try this robot free →Video-level metadata drives YouTube SEO, influencer research, and content strategy:
Each individual YouTube video page provides:
| Field | What it contains |
|---|---|
| Video Title | Full title as published. |
| Channel Name | Name of the publishing channel. |
| Channel URL | Direct link to the creator's channel. |
| View Count | Total views at time of extraction. |
| Like Count | Total likes on the video. |
| Subscriber Count | Total subscribers on the publishing channel. |
| Publish Date | Date the video was published. |
| Full Description | Complete video description including links and timestamps. |
| Video Tags | Keyword tags applied by the creator. |
| Comment Count | Total number of comments. |
Deep video metadata for YouTube SEO analysis, influencer research, and competitive content intelligence.
How is this different from the YouTube search results scraper?
The YouTube search results scraper extracts listing summaries for many videos at once from a search page. This robot extracts complete metadata from a single video page - including the full description, tags, channel URL, subscriber count, and precise engagement counts that search listings don't show.
Can I extract data from private or unlisted videos?
No. This robot only works on public YouTube videos. Private and unlisted videos require authentication and are not accessible.
Are video tags always visible on the YouTube page?
YouTube no longer displays tags publicly in the standard page view, but they remain embedded in the page source. Browse AI's robot accesses the source to extract tag data.
Build a complete video intelligence stack with these YouTube and social robots:
Scrape YouTube video pages for descriptions, tags, view counts, and metadata to power your content and SEO strategy.
