The Problem
Scraping government portals with Selenium or Playwright is brittle: layouts change, captchas appear, PDFs break the LLM context window. An r/LangChain build documented the migration path.
The Scavio Solution
Replace real-time scraping with an asynchronous Google Dorks pipeline on Scavio. Discover PDFs via dorks, fetch via extract endpoint, convert to typed JSON via LLM, cache in SQLite for sub-50ms repeat lookups.
Before
Brittle Selenium pipeline that breaks weekly, fails on captchas, blows context windows on PDFs.
After
Asynchronous pipeline that runs at dawn, caches results, returns typed JSON in 50ms.
Who It Is For
GovTech builders, SDR agents targeting government bids, compliance researchers, public-sector data engineers.
Key Benefits
- No Selenium maintenance
- PDF-aware extract
- SQLite cache layer
- Typed JSON output
- MCP-attachable for CrewAI agents
Python Example
Python
import os, requests
H = {'x-api-key': os.environ['SCAVIO_API_KEY']}
def dork_search(q):
return requests.post('https://api.scavio.dev/api/v1/search', headers=H, json={'query': q}).json()
def pdf_extract(url):
return requests.post('https://api.scavio.dev/api/v1/extract', headers=H, json={'url': url, 'format': 'markdown'}).json()JavaScript Example
JavaScript
const H = { 'x-api-key': process.env.SCAVIO_API_KEY, 'Content-Type': 'application/json' };
async function dork(q) {
return fetch('https://api.scavio.dev/api/v1/search', { method:'POST', headers:H, body: JSON.stringify({ query: q }) }).then(r => r.json());
}Platforms Used
Web search with knowledge graph, PAA, and AI overviews