Structured lead summary
Extract name, phone, email, location, budget, timeframe, intent, and urgency from raw inquiry text.
EtherForge product
AI Lead Inquiry Normalizer for Real Estate
Turn messy Zillow inquiries, text messages, and email leads into a clean structured summary with urgency, budget, intent, next action, and a ready-to-send follow-up draft.
The problem
Messy leads slow follow-up and cost deals.
Real estate agents often receive leads as copied portal text, short messages, or forwarded emails. The details that matter most are buried inside unstructured text, and every minute spent cleaning that up is a minute not spent closing.
Features
Built for fast intake cleanup.
Instant follow-up draft
Generate a clean response draft so you can move from intake to contact faster.
Zero-API privacy
Runs locally with regex and keyword logic only. No external API calls, no extra account setup.
What you get
Simple files, immediate use.
- `lead_normalizer.py` - the core local script
- `sample_leads.txt` - test data
- `README.md` - setup and usage instructions
- buyer quickstart and launch copy assets
Checkout
Buy direct first. Keep Gumroad as backup.
Use a direct Stripe payment link here for the fastest payout path available to you. Keep Gumroad available as a fallback purchase option.
Direct checkout
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Gumroad
Keep Gumroad live for discovery and as a secondary purchase route.
Quickstart
Three steps.
1. Open the script
Launch Terminal, Command Prompt, or PowerShell in the folder where the product files are saved.
2. Paste the lead
Run the Python script and paste the raw lead message from Zillow, email, SMS, or CRM notes.
3. Use the output
Copy the structured summary into your CRM and send the follow-up draft to the lead.