SOCIAL MEDIA
YouTube data scraping service.
Video metadata, channel analytics, comment extraction, and search data. Structured and delivered for media agencies, researchers, and brand teams.
The problem.
WHY THIS IS HARDER THAN IT LOOKS
Media agencies, brand marketers, and research firms need structured YouTube data beyond what YouTube Analytics provides. YouTube Analytics covers your own channels. It does not show competitor video performance, trending content in a category, or comment sentiment across thousands of videos at scale.
YouTube's official Data API has rate limits that make large-scale extraction impractical for competitive research, and it does not expose all the metrics that are visible on the platform (exact view counts on recent videos, real-time engagement, Shorts analytics).
Media agencies doing competitive content analysis rely on YouTube data in a way that goes well beyond checking a client's own dashboard. When a content team wants to understand why a competing channel grew 40% in a quarter, the useful signals are upload cadence, topic clusters, average video length, engagement rates by format, and which thumbnails drove click-through. None of that comes from the official API at useful scale. The pipeline I run pulls channel-level publishing patterns, video-level metadata, and engagement signals across hundreds of channels simultaneously, giving agencies the structured dataset they need to build content strategy recommendations backed by actual platform data rather than guesswork.
Video transcripts are another layer that agencies consistently underuse. Transcripts expose the exact language a creator uses to describe a product category, the keywords they emphasize naturally, and the structure of high-performing scripts. For content research, pulling transcripts from the top 50 videos in a category is one of the fastest ways to identify topic angles that land well with an audience. The extraction pipeline handles transcript retrieval as part of any channel or video research engagement.
This service fills that gap with managed extraction that covers channels, videos, comments, transcripts, and search results. The ScrapeBase API at scrapebase.io offers YouTube endpoints for self-serve access. For done-for-you pipelines with delivery integration, the managed service handles everything.
Is this right for you?
GOOD FIT IF ANY OF THESE SOUND LIKE YOU
You are a media agency tracking competitor YouTube channels and content performance
You need YouTube search result data or trending content analysis for a specific category
You want comment data at scale for sentiment analysis or brand mention tracking
You need structured video metadata beyond what the YouTube Data API quota allows
What you receive.
EXACT FIELDS, DELIVERED IN YOUR FORMAT
Sample record.
{
"video_id":"dQw4w9WgXcQ",
"title":"Rick Astley - Never Gonna Give You Up",
"channel_name":"Rick Astley",
"view_count": 1542876203,
"like_count": 18200000,
"comment_count": 2850000,
"published_at":"2009-10-25",
"duration":"PT3M33S",
"keywords": ["rick astley","never gonna give you up"],
"engagement_rate": 1.37,
"extracted_at":"2026-04-14T10:00:00Z"
}PREFER TO SELF-SERVE?
Or access our YouTube API yourself
6 ready-to-use endpoints. Pay per successful request. Built for developers.
Straightforward pricing.
SCALE DETERMINES PRICE · NO HIDDEN FEES
Channel audit
One-time extraction of channels, videos, or search results. 2-4 days.
- Up to 500 videos or 50 channels
- Full metadata
- CSV or Google Sheet
Ongoing monitoring
Weekly or daily refresh of tracked channels and keywords.
- Up to 200 channels tracked
- Comment extraction
- Trend alerts
Custom research
Transcript extraction, sentiment analysis, ad detection.
- Unlimited scope
- Custom analytics
- Scoping call required
Frequently asked questions.
EVERYTHING YOU NEED TO KNOW
Video metadata (title, views, likes, comments, duration, tags), channel profiles (subscriber count, video count, playlists), video comments with engagement data, search results for any keyword, and video transcripts where available. The ScrapeBase API at scrapebase.io has endpoints for all of these.
The official YouTube Data API has quota limits that restrict large-scale extraction (10,000 units per day by default). It also does not expose certain metrics that are visible on the platform. This service handles the extraction at whatever scale you need without quota concerns on your end.
Yes. Comment extraction covers comment text, author, like count, reply count, and timestamp. For videos with thousands of comments, the pipeline paginates through all comments. This is useful for sentiment analysis, brand mention tracking, and community research.
Yes. The Ongoing Monitoring tier tracks channel subscriber growth, new video uploads, engagement trends, and posting cadence. Weekly reports show how tracked channels are performing relative to each other, including format-level breakdowns between standard videos and Shorts.
Yes. Shorts are extracted with the same metadata fields as regular videos. The pipeline distinguishes between Shorts and regular videos in the output so you can analyze them separately.
Yes. Where auto-generated or creator-uploaded transcripts are available, the pipeline retrieves the full transcript text alongside video metadata. This is used by content teams to analyze script structure, keyword usage, and topic coverage across competitor videos at scale.
A channel or keyword audit starts at $199 for up to 500 videos or 50 channels. Ongoing monitoring starts at $499 per month for up to 200 channels. Custom research scopes per engagement.