Scavio for Content Curation

The Problem

Content curation requires constantly scanning multiple sources for relevant, high-quality content. Manual curation does not scale, and RSS feeds miss a lot of content.

How Scavio Helps

• Search Google and YouTube for trending content
• Get structured metadata: titles, descriptions, dates
• YouTube transcripts for content summarization
• Build automated content pipelines with AI agents

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "machine learning best practices 2026":

import requests

API_KEY = "your_scavio_api_key"

response = requests.post(
    "https://api.scavio.dev/api/v1/search",
    headers={
        "x-api-key": API_KEY,
        "Content-Type": "application/json",
    },
    json={"query": query},
)

data = response.json()
for result in data.get("organic_results", [])[:5]:
    print(f"{result['position']}. {result['title']}")
    print(f"   {result['link']}\n")

Built for Newsletter creators, content teams, media companies

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your content curation 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.