Scavio for Real Estate Aggregation

The Problem

Real estate investors and proptech builders cannot efficiently aggregate listing data, market sentiment, and neighborhood insights from scattered web sources into a single research pipeline.

How Scavio Helps

• Google results surface listing aggregator data structurally
• Reddit captures unfiltered neighborhood and market sentiment
• YouTube covers property tours and market analysis content
• Structured JSON enables automated market scoring models
• Scale research across multiple markets simultaneously

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "best neighborhoods to invest in Austin Texas 2026":

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 investors, proptech developers, and market research analysts

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your real estate aggregation solution. The API returns structured JSON that is ready for processing, analysis, or feeding into AI agents.

Start with the free tier (50 credits on signup, no credit card required) and scale to paid plans when you need higher volume.