Claude AI Integration for Real Estate
Budget: $30 – $250 CAD
I want to put Anthropic’s Claude AI at the heart of my daily real-estate workflow. The goal is simple: I should be able to talk to Claude in natural language and have it pull or push information from three key places—my Realtor.ca MLS feed, my current CRM, and my email-calendar suite—without me jumping between apps.
Here is what I need the system to do once it is live:
• MLS: fetch new and updated listings from my Realtor.ca feed, summarize property data and market changes, and allow me to ask follow-up questions (“Show me all new three-bedroom listings under $800k added since Monday,” etc.).
• CRM: read and write lead details, update deal stages, add notes from call transcripts, and trigger follow-up actions when I ask Claude.
• Email & Calendar: draft and send client emails that reference live MLS data or CRM notes, propose meeting times, and automatically add appointments to my calendar.
I already hold the API keys or admin access for each of these platforms. What I’m missing is the connective tissue: secure API integrations, prompt engineering, and a straightforward chat interface (Slack plug-in, web dashboard, or anything you recommend) that keeps the conversation with Claude contextual across MLS, CRM, and email threads.
Deliverables I will sign off on:
1. Working Claude AI instance authenticated with my Realtor.ca MLS, my CRM, and my email/calendar service.
2. Clearly documented integration scripts or middleware (Python, Node, or similar—your call, just keep it portable).
3. A short prompt-guide so I know which commands or questions trigger which workflows.
4. Walk-through session showing the system running end-to-end on my laptop.
If you have done similar AI-based automations—especially anything that touches real-estate data feeds—let me know. I’m ready to start as soon as we agree on a clean, secure approach.
Here is what I need the system to do once it is live:
• MLS: fetch new and updated listings from my Realtor.ca feed, summarize property data and market changes, and allow me to ask follow-up questions (“Show me all new three-bedroom listings under $800k added since Monday,” etc.).
• CRM: read and write lead details, update deal stages, add notes from call transcripts, and trigger follow-up actions when I ask Claude.
• Email & Calendar: draft and send client emails that reference live MLS data or CRM notes, propose meeting times, and automatically add appointments to my calendar.
I already hold the API keys or admin access for each of these platforms. What I’m missing is the connective tissue: secure API integrations, prompt engineering, and a straightforward chat interface (Slack plug-in, web dashboard, or anything you recommend) that keeps the conversation with Claude contextual across MLS, CRM, and email threads.
Deliverables I will sign off on:
1. Working Claude AI instance authenticated with my Realtor.ca MLS, my CRM, and my email/calendar service.
2. Clearly documented integration scripts or middleware (Python, Node, or similar—your call, just keep it portable).
3. A short prompt-guide so I know which commands or questions trigger which workflows.
4. Walk-through session showing the system running end-to-end on my laptop.
If you have done similar AI-based automations—especially anything that touches real-estate data feeds—let me know. I’m ready to start as soon as we agree on a clean, secure approach.
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