The Problem
Real estate data is scattered across Zillow, Realtor.com, Redfin, and local MLS feeds. Each source has a different API, different data format, and different coverage. Building a comprehensive property research tool means integrating with 3-5 sources, each with its own authentication, rate limits, and schema. Most real estate APIs charge hundreds per month, and they still do not cover all listings in all markets. The result is incomplete data that misses listings from the sources you did not integrate.
The Scavio Solution
Scavio searches Google for property listings across all sources simultaneously, returning structured results that include listing prices, addresses, and source URLs. A single search captures listings from Zillow, Realtor.com, Redfin, and local MLS sites in one query. The results feed into a normalization pipeline that extracts property details from the organic results. For $0.005/credit, you get multi-source coverage without paying for individual real estate APIs.
Before
Before Scavio, aggregating property listings meant integrating with 3-5 real estate APIs costing hundreds per month each, and still missing listings from sources without public APIs.
After
After Scavio, a single Google search captures listings from all major real estate platforms. The normalization pipeline extracts structured property data at $0.005/query, eliminating the need for multiple expensive API integrations.
Who It Is For
Real estate tech builders, property aggregator apps, and investor research tools that need multi-source listing data without integrating with individual real estate APIs.
Key Benefits
- One search captures listings from Zillow, Realtor.com, Redfin, and MLS sites
- No individual real estate API integrations required
- Structured results include prices, addresses, and source URLs
- Multi-market coverage without per-market API fees
- $0.005/query vs hundreds per month for individual real estate APIs
Python Example
import requests
import json
from datetime import datetime
API_KEY = "your_scavio_api_key"
def search_listings(location: str, property_type: str = "house") -> list[dict]:
query = f"{property_type} for sale {location}"
res = requests.post(
"https://api.scavio.dev/api/v1/search",
headers={"x-api-key": API_KEY},
json={"platform": "google", "query": query, "num": 20},
timeout=15,
)
res.raise_for_status()
listings = []
for item in res.json().get("organic", []):
link = item.get("link", "")
source = "unknown"
if "zillow.com" in link:
source = "zillow"
elif "realtor.com" in link:
source = "realtor"
elif "redfin.com" in link:
source = "redfin"
listings.append({
"title": item.get("title", ""),
"snippet": item.get("snippet", ""),
"link": link,
"source": source,
})
return listings
def aggregate_market(location: str) -> dict:
listings = search_listings(location)
by_source = {}
for listing in listings:
src = listing["source"]
by_source.setdefault(src, []).append(listing)
return {
"location": location,
"total_results": len(listings),
"by_source": {k: len(v) for k, v in by_source.items()},
"listings": listings,
"checked_at": datetime.utcnow().isoformat(),
}
result = aggregate_market("Austin TX 78704")
print(f"Found {result['total_results']} listings in {result['location']}")
for source, count in result["by_source"].items():
print(f" {source}: {count} listings")JavaScript Example
const API_KEY = "your_scavio_api_key";
async function searchListings(location, propertyType = "house") {
const res = await fetch("https://api.scavio.dev/api/v1/search", {
method: "POST",
headers: { "x-api-key": API_KEY, "content-type": "application/json" },
body: JSON.stringify({ platform: "google", query: `${propertyType} for sale ${location}`, num: 20 }),
});
if (!res.ok) throw new Error(`scavio ${res.status}`);
return (await res.json()).organic?.map((item) => {
const link = item.link ?? "";
let source = "unknown";
if (link.includes("zillow.com")) source = "zillow";
else if (link.includes("realtor.com")) source = "realtor";
else if (link.includes("redfin.com")) source = "redfin";
return { title: item.title ?? "", snippet: item.snippet ?? "", link, source };
}) ?? [];
}
const listings = await searchListings("Austin TX 78704");
console.log(`Found ${listings.length} listings`);
const bySource = {};
for (const l of listings) bySource[l.source] = (bySource[l.source] ?? 0) + 1;
for (const [src, count] of Object.entries(bySource)) console.log(` ${src}: ${count}`);Platforms Used
Web search with knowledge graph, PAA, and AI overviews