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real-estate-data

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Nexa Auto automates the process of verifying the authenticity of addresses for room service eligibility and retrieving detailed specifications across multiple websites. Utilizing Selenium for web automation and GPT for handling missing data, Nexa Auto significantly reduces manual effort in data entry tasks.

  • Updated Nov 10, 2024
  • Python

This project is a powerful and extensible scrapy-based crawler designed to extract and aggregate data from multiple real estate crowdfunding platforms. Ideal for investors, analysts and researchers interested in tracking investment opportunities, platform performance and market trends

  • Updated Jan 11, 2026
  • Python

Lead generation pipeline for finding potential commercial real estate tenants — Uses Google Places & Routes APIs for drive time enrichment, org detection, tier scoring. Focused on healthcare leads, but can be modified for other types of tenants.

  • Updated Mar 13, 2026
  • Python
deep-agent-real-estate

Bridging Generative AI and Classical ML. A production-grade multi-agent system using ReAct orchestration, MCP, A2A, and LMMs for hyper-local property valuation with Evals.

  • Updated Mar 10, 2026
  • Jupyter Notebook

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