feat: add FSBO real estate lead generation module - #4
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Adds a complete FSBO (For Sale By Owner) real estate lead generation pipeline to the sales outreach automation system: - FSBO listing discovery via web search + LLM extraction - Property analysis and seller motivation assessment - Seller lead scoring with configurable criteria - Personalized outreach email and interview script generation - Full LangGraph workflow (discover → analyze → score → outreach) - FSBOLeadLoader implementing LeadLoaderBase interface - Comprehensive documentation with usage examples New files: src/tools/fsbo_tools.py - FSBO property search & extraction src/fsbo_lead_loader.py - FSBOLeadLoader (LeadLoaderBase) src/prompts_fsbo.py - Real estate LLM prompts src/fsbo_nodes.py - FSBO workflow processing nodes src/fsbo_graph.py - FSBO LangGraph workflow docs/real-estate-lead-generation.md - Documentation Modified: src/state.py - Added FSBO data models src/structured_outputs.py - Added FSBOSellerEmail model
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Summary
This PR adds a complete FSBO (For Sale By Owner) real estate lead generation pipeline to the sales outreach automation system. It allows the system to discover homeowners selling without a real estate agent, analyze seller motivation, and generate personalized outreach materials.
What's Included
New Components
Extended Files
Architecture
The FSBO workflow follows the same LangGraph pattern as the existing outreach automation:
discover_fsbo_listings -> check_for_remaining_leads
| (found leads)
analyze_property -> score_seller_lead
| (qualified)
generate_seller_outreach_email -> generate_seller_interview_script
|
save_reports -> loop back
Design Decisions