The Problem
Teams monitoring industry news manually spend 30-60 minutes daily scanning multiple sources, missing relevant stories and producing inconsistent summaries that are hard to share across the organization.
How Scavio Helps
- Automated daily news digest for any topic or vertical
- AI Overview summaries provide concise context per story
- Multiple output formats: JSON, Markdown, Slack blocks
- Deduplication across sources prevents repeated stories
- One pipeline serves multiple topics with parameterized keywords
Relevant Platforms
Web search with knowledge graph, PAA, and AI overviews
Quick Start: Python Example
Here is a quick example searching Google for "news digest agent pipeline automated daily summary API 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 Content teams producing newsletters, product managers tracking industry trends, and marketing teams monitoring competitive landscape
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your news digest agent pipeline 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.