Scavio for Real Estate B2B Search Agent

The Problem

Direct MLS access is gated, expensive, and unnecessary for B2B sellers (CRMs, photography, software). The Scavio-driven agent covers 80% of the prospecting signal — brokerage discovery, hiring news, sentiment — at <10% of MLS cost. Multiple subreddits posted variations of this build the same week in 2026.

How Scavio Helps

• 80% MLS signal at <10% cost
• Multi-market coverage from one key
• Reddit sentiment layer
• MCP-driven Claude Code build
• Two-day build vs months of MLS onboarding

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "real estate brokerage austin tx 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 B2B sales teams selling into real estate brokerages, recruiters, real estate SaaS founders, agencies serving brokers

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