The Problem
B2B companies have hundreds of hours of video content on YouTube -- webinars, demos, training sessions -- but no way to search within them. Employees rewatch entire videos to find the one segment they need. Transcript-based search fixes this.
How Scavio Helps
- YouTube search API finds relevant videos from your channel or playlists
- Extract and index transcript content for full-text search
- Employees search by topic and jump to the exact video timestamp
- Build internal knowledge base from existing video content
- Cost: $0.005/query for video discovery, pair with transcript extraction
Relevant Platforms
YouTube
Video search with transcripts and metadata
Quick Start: Python Example
Here is a quick example searching YouTube for "product demo feature walkthrough training video":
import requests
API_KEY = "your_scavio_api_key"
response = requests.post(
"https://api.scavio.dev/api/v1/youtube/search",
headers={
"x-api-key": API_KEY,
"Content-Type": "application/json",
},
json={"query": query},
)
data = response.json()
for video in data.get("videos", [])[:5]:
print(f"{video['title']} — {video.get('views', 'N/A')} views")Built for B2B marketing teams, knowledge management leads, and L&D teams with large video libraries on YouTube
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your b2b video library transcript search solution. The API returns structured JSON that is ready for processing, analysis, or feeding into AI agents.
Start with the free tier (50 credits on signup, no credit card required) and scale to paid plans when you need higher volume.