The Problem
Real estate data is scattered across listing sites. Aggregating market data, agent contacts, and property information requires multiple data sources.
How Scavio Helps
- Google search for listing sites and market reports
- Google Maps for local agents and property companies
- Structured business data: address, phone, ratings
- Build automated market analysis tools
Relevant Platforms
Web search with knowledge graph, PAA, and AI overviews
Google Maps
Local business search with ratings and contact info
Quick Start: Python Example
Here is a quick example searching Google for "homes for sale austin texas":
Python
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 Real estate agents, property investors, proptech startups
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your real estate search 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.