Real Estate Deal Analyzer - POC

Automated real estate deal monitoring and analysis system that filters Zillow MLS listings using AI and alerts your team via Discord.

What It Does

1. Monitors new MLS listings from Zillow (Bridge API)
2. Analyzes each property with Claude AI against investment criteria
3. Alerts high-potential deals to Discord in real-time

Architecture

MLS API (Zillow/Bridge)
    ↓
Fetch new listings
    ↓
Claude AI Analysis (filters by criteria)
    ↓
Discord Alert (if ALERT decision)

Demo

Current Implementation

• Uses mock data matching Bridge MLS API format (RESO standard)
• Claude Sonnet 4 for property analysis
• Discord webhooks for alerts
• Ready to integrate real MLS API credentials

Setup

1. Clone the repo

git clone <this-repo>
cd real-estate-analyzer

2. Create virtual environment

python3 -m venv venv
source venv/bin/activate

3. Install dependencies

pip install -r requirements.txt

4. Configure environment variables

cp .env.example .env
# Edit .env with your API keys:
# - ANTHROPIC_API_KEY (get from console.anthropic.com)
# - DISCORD_WEBHOOK_URL (from Discord server settings)

5. Run the analyzer

python main.py

Next Steps for Production

• Integrate real Bridge MLS API with client credentials
• Add email monitoring (IMAP/Gmail API)
• Implement scheduling (run every 10 minutes via cron or AWS EventBridge)
• Add database for tracking analyzed properties (prevent duplicate alerts)
• Customize analysis criteria per client needs
• Add multiple notification channels (Slack, SMS, etc.)
• Deploy to AWS Lambda or similar serverless platform

Tech Stack

• Python 3.9+
• Anthropic Claude API
• Discord Webhooks
• Bridge MLS API (RESO standard)

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Built as POC in 4 hours - ready to customize for your specific investment criteria and deploy to production.