The Problem
Finding relevant podcasts and video content across topics requires searching YouTube and Google separately, then manually reviewing results.
How Scavio Helps
- YouTube search with duration and upload date filters
- Full video transcripts for content analysis
- Channel metadata and subscriber counts
- Build content recommendation engines
Relevant Platforms
YouTube
Video search with transcripts and metadata
Web search with knowledge graph, PAA, and AI overviews
Quick Start: Python Example
Here is a quick example searching YouTube for "startup founder interview podcast 2026":
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 Media companies, content platforms, podcast apps
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your podcast & video discovery 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.