Scavio for Government Portal Monitoring SDR Agent

The Problem

Real-time scraping of government portals is brittle: layouts change, captchas fire, PDFs blow context. The async pattern (cron at dawn, Google Dorks discovery, Scavio extract, LLM typed-JSON conversion, SQLite cache) is 50ms per query for cached hits and zero ongoing maintenance.

How Scavio Helps

• No Selenium maintenance
• PDF-aware extract
• SQLite cache layer
• Typed JSON output
• MCP-attachable for CrewAI

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "site:gov.br filetype:pdf 2026 contratos":

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 GovTech builders, SDR agents targeting government bids, public-sector data engineers

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your government portal monitoring sdr agent 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.