The Problem
YouTube is the world's second-largest search engine. Analyzing video content at scale requires the YouTube Data API (which has strict quotas) or complex scraping infrastructure.
How Scavio Helps
- Search YouTube with 15+ filters
- Full video transcripts in multiple languages
- Video metadata: views, likes, duration, tags
- Channel information and subscriber data
Relevant Platforms
YouTube
Video search with transcripts and metadata
Quick Start: Python Example
Here is a quick example searching YouTube for "react server components tutorial":
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 creators, researchers, media companies
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your video research solution. The API returns structured JSON that is ready for processing, analysis, or feeding into AI agents.
Start with the free tier (250 credits/month, no credit card required) and scale to paid plans when you need higher volume.