Real estate

Let the AI read real estate enquiries and let rules do the scoring

A builder’s n8n workflow uses OpenAI only to turn messy enquiries into structured data, then scores and routes leads with deterministic logic.

By A Reddit user on Reddit · Posted · Added Oct 16, 2026

Difficulty
IntermediateOur rating
Time to build
Not reportedOur estimate
Monthly cost
Not reported
Revenue
Not reportedWe only show revenue the source states
Engagement
No public countThe source shows no number

What they did

It extracts budget, location, timeline and intent, scores and routes in n8n, matches properties, writes follow-ups, notifies the sales team on WhatsApp and nurtures low-intent leads.

How it went

Shared on GitHub; commenters favor the hybrid approach.

Worth knowing

Keeping weights in n8n means a model change will not silently change scores.

Builder recipe

Our own starting point, written from the source. Adapt it to your setup.

Stack

  • n8n
  • OpenAI API
  • WhatsApp
  • Google Sheets

Steps

  1. Connect listings, calendar and messaging.
  2. Let the agent handle routine questions and scheduling.
  3. Keep a human on negotiations and compliance.
  4. Log every interaction.

Starter prompt

Extract {budget, location, timeline_months, intent} as JSON from this enquiry. Do not score it.

Open the repo ↗ (opens in new tab)

Tags

Agent n8n ChatGPT
Industry Real estate

Read the original

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