The Problem
YouTube videos contain valuable information locked inside audio. Manually transcribing and analyzing videos does not scale. Automated transcript extraction enables content repurposing, search indexing, and AI training workflows.
How Scavio Helps
- Full video transcripts with timestamps in structured JSON
- Multi-language transcript support for global content
- Video metadata for filtering by views, duration, and recency
- Build automated content repurposing pipelines
Relevant Platforms
YouTube
Video search with transcripts and metadata
Quick Start: Python Example
Here is a quick example searching YouTube for "ycombinator startup advice founder":
Python
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 Content repurposing agencies, AI training teams, media companies
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your youtube transcript analysis solution. The API returns structured JSON that is ready for processing, analysis, or feeding into AI agents.
Start with the free tier (500 credits/month, no credit card required) and scale to paid plans when you need higher volume.