The Problem
An r/dataengineering post in May 2026 described months of pain solving 'company name in, website out'. Naive search-and-pick fails on >5% of B2B records due to rebrands, acquisitions, parent-subsidiary structures, and name collisions.
How Scavio Helps
- Typed Google SERP + knowledge graph signals in one call
- Scavio /extract verifies candidate domains
- Handles rebrands and acquisitions via knowledge graph alias data
- 92-96% accuracy on clean names; honest about the 4-8% edge cases
- ~$0.001-0.005 per resolved record at Scavio Project pricing
Relevant Platforms
Web search with knowledge graph, PAA, and AI overviews
Quick Start: Python Example
Here is a quick example searching Google for "10K CRM rows → per-company Scavio search → top organic + knowledge_graph entry → /extract candidate domain home page → verify name match → confidence score":
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 B2B data teams, sales-ops, RevOps, CRM hygiene operators, anyone enriching a CRM dump
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your company name to website enrichment 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.