Scavio for AI Newsletter Curation

The Problem

Newsletter creators spend hours each week scanning sources for relevant stories, filtering signal from noise, and writing summaries. Automating the discovery and drafting steps lets creators focus on voice and editorial judgment.

How Scavio Helps

• Google News for breaking stories by topic or industry
• YouTube for expert takes and video summaries
• Reddit for trending community conversations
• Structured JSON output ready for LLM-based drafting

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google News for "artificial intelligence news this week":

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, "tbs": "nws"},
)

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, media companies, content marketers

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