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 (250 credits/month, no credit card required) and scale to paid plans when you need higher volume.