Researched: Sourced and summarized, not yet run end-to-end by us CRM
Score property buyer leads and save qualified ones to an Airtable CRM
At a glance
View source template on n8n.io (opens in new tab)Problem
Agents spend time on buyer enquiries that don't match budget, location or timeline
Caveats
Needs an OpenAI API key, Gmail and an Airtable base. As built, leads below the threshold are ignored unless you add a branch to store them, so you could silently drop real buyers; log every lead somewhere. Buyer details are sent to OpenAI. Review the scoring prompt so it doesn't screen people on protected characteristics, which fair-housing laws prohibit in many places.
Tools
- n8n form trigger
- OpenAI (information extractor)
- Airtable
- Gmail
Steps
- Buyer submits a property enquiry form (name, email, budget, location, timeline, property type).
- OpenAI extracts structured fields and a 0–100 lead score.
- Scores of 70 or more are marked qualified.
- Email the agent and create an Airtable record for qualified leads.
- Status
- Researched: Sourced and summarized, not yet run end-to-end by us
- Last checked
Setup estimates are rough guesses for someone comfortable with the tools who already has the accounts and API keys. Real time is unknown until tested.