Property Recommendation replaced a manual process that took 2 hours daily. ROI was clear within the first month.
+ Scales well as we grow · Integrations worked on first try
Match buyer preferences to MLS listings with scored recommendations and tour links.
This automation starts when hubSpot preference update or buyer Typeform quiz submit. It typeform scores, google sheets update, openai update, gmail scores, and calendly scores, then or Typeform buyer quiz triggers MLS API or Sheets listing feed filter, GPT scores top 5 matches with rationale bullets, emails Gmail HTML gallery with Calendly .
Read-only visualization of how data moves from trigger to final result.
HubSpot preference update or buyer Typeform quiz submit
or Typeform buyer quiz triggers MLS API or Sheets listing feed filter, GPT scores top 5 matches with rationale bullets, emails Gmail HTML gallery with Calendly
HubSpot contact preference update
HubSpot contact preference update
or Typeform buyer quiz triggers MLS API or Sheets listing feed filter, GPT scores top 5 matches with rationale bullets, emails Gmail HTML gallery with Calendly
or Typeform buyer quiz triggers MLS API or Sheets listing feed filter, GPT scores top 5 matches with rationale bullets, emails Gmail HTML gallery with Calendly
or Typeform buyer quiz triggers MLS API or Sheets listing feed filter, GPT scores top 5 matches with rationale bullets, emails Gmail HTML gallery with Calendly
Update
Scores
Update
Update
Scores
Scores
Remove repetitive steps from Property Recommendation so your team focuses on high-value work.
Connected apps sync data automatically instead of copy-paste between dashboards.
Standardized logic runs the same way every time, with retries on failure.
Automation runtime
Connect required apps via OAuth or API keys. Credentials are encrypted server-side. Dev test runs mock external actions when connections are missing.
Est. setup time: ~13 min
Form submission trigger
Activate this workflow to provision the trigger endpoint.
No runs yet. Install the template and run a test, or activate to receive webhook/schedule runs.
HubSpot contact preference update—budget, beds, neighborhoods, must-haves—or Typeform buyer quiz triggers MLS API or Sheets listing feed filter, GPT scores top 5 matches with rationale bullets, emails Gmail HTML gallery with Calendly tour links per property, logs sent listings on deal record avoiding duplicate sends within 30 days.
Some steps run in preview until their integrations go live.
HubSpot, MLS API or Sheets feed, OpenAI scoring, Gmail, Calendly.
Budget max, min beds, neighborhoods, school district, commute anchor.
Weighted score price fit, location, features, days on market freshness.
Photo, price, match score, why fit, tour link per listing.
Verify top 5 relevant and no duplicate resend within window.
| Variable | Type | Default | Required |
|---|---|---|---|
| Business Name | text | Your Business | Yes |
| Notification Email | — | Yes | |
| Timezone | select | — | Yes |
| Google Sheet ID | text | No | |
| Sheet Range | text | Sheet1!A:Z | No |
| Gmail Search Query | text | is:unread | No |
Internal pocket listing sheet merged with MLS results flagged off-market.
Transaction type filters listing feed appropriately.
Bilingual email when buyer language preference AR.
Previously sent listing price cut triggers update email automatically.
Our team can adapt this template to your exact workflow, apps, and brand requirements.
339 total reviews
Property Recommendation replaced a manual process that took 2 hours daily. ROI was clear within the first month.
+ Scales well as we grow · Integrations worked on first try
We deployed this across three locations and saw immediate time savings. The Property Recommendation workflow handles edge cases we didn't expect it to.
+ Saved our team 10+ hours weekly · Reliable triggers every time
− Took longer than estimated for advanced config
Solid template. We duplicated and tweaked variables for our brand. Would recommend for teams starting automation.
+ Setup was straightforward · Great documentation
HubSpot contact preference update—budget, beds, neighborhoods, must-haves—or Typeform buyer quiz triggers MLS API or Sheets listing feed filter, GPT scores top 5 matches with rationale bullets, emails Gmail HTML gallery with Calendly tour links per property, logs sent listings on deal record avoiding duplicate sends within 30 days.
Activate Property Recommendation with default variables and run a sandbox test.
Scenario: New user installs template and validates output in under 15 minutes.
Connect live apps, map business rules, enable monitoring alerts.
Scenario: Team deploys to workspace after QA sign-off on test runs.
Version 1.2.0 — Improved reliability and Slack notifications for Property Recommendation.
Current version: 1.2.0
Listing Inquiry Auto Match — orchestrates HubSpot, Google Calendar, Gmail to automate this workflow with field mapping, notifications, and audit logging.
Keep real estate CRM contacts, deals, and activities synced across HubSpot and MLS interactions.
Generate purchase offer and agency agreement PDFs from deal terms with DocuSign send.
Open House Follow Up — orchestrates HubSpot, Google Calendar, Gmail to automate this workflow with field mapping, notifications, and audit logging.
Coordinate property showings with seller availability, agent calendar, and buyer confirmations.
Notify buyers and agents when watched listings change price or status.
Keep real estate CRM contacts, deals, and activities synced across HubSpot and MLS interactions.
Capture portal and website leads into CRM with instant agent assignment and auto-response.
Canva Asset Approval Flow — orchestrates LinkedIn, X, Instagram, Buffer to automate this workflow with field mapping, notifications, and audit logging.
Consolidate tasks from Slack, email, and voice into prioritized Google Tasks and Asana.
Pull Request Review Summary — orchestrates GitHub, Slack, Jira, Linear to automate this workflow with field mapping, notifications, and audit logging.
Inbox Priority Briefing — orchestrates Gmail, OpenAI, Google Calendar, Slack to automate this workflow with field mapping, notifications, and audit logging.