Scavio for Podcast & Video Discovery

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

Quick Start: Python Example

Here is a quick example searching YouTube for "startup founder interview podcast 2026":

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