Scavio for B2B Real Estate Prospecting Agent

The Problem

Building a B2B real estate prospecting agent in two days with Claude Code is realistic in 2026, but the bottleneck is data freshness. Direct MLS access is gated and expensive, while public SERP plus Zillow/Realtor pages plus Reddit gives 80% of the same signal at a fraction of the cost. The agent needs all three surfaces in a single, predictable API call so it can rank prospects by activity in the last 30 days.

How Scavio Helps

• Live SERP coverage of brokerage news and listings
• Reddit discussion signal per market
• Single API key for the whole agent
• Predictable per-prospect cost
• Pairs cleanly with Claude Code or LangChain

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "commercial real estate brokerages austin texas hiring 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 SaaS founders, B2B SDR teams targeting brokerages, prop-tech builders, agency-side AI consultants

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your b2b real estate prospecting agent 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.