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EstateForge AI

EstateForge automates property search and analysis in four stages: 1. **Search** — Firecrawl extracts listings from selected real estate websites 2. **Extract** — structured property data via Pydantic schemas (address, price, beds, baths, sqft) 3. **Analyze** — Market Analysis Agent provides neighborhood and investment insights 4. **Value** — Property Valuation Agent assesses each listing for investment potential

Python Streamlit
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EstateForge AI

Real estate search agent team by Sharad Khare.

EstateForge AI searches Zillow, Realtor.com, Trulia, and Homes.com using Firecrawl extraction, then delivers Gemini-powered market analysis and property valuations through a Streamlit interface.

Built and maintained by Sharad Khare — AI strategist, full-stack developer, and creator of practical agent workflows.

What this project does

EstateForge automates property search and analysis in four stages:

1. Search — Firecrawl extracts listings from selected real estate websites

2. Extract — structured property data via Pydantic schemas (address, price, beds, baths, sqft)

3. Analyze — Market Analysis Agent provides neighborhood and investment insights

4. Value — Property Valuation Agent assesses each listing for investment potential

Why Sharad Khare built EstateForge AI

Property hunting across multiple listing sites is fragmented and time-consuming. EstateForge demonstrates how Firecrawl extraction combined with Gemini agents can unify search, comparison, and investment analysis in one workflow.

How it works

City + State + Criteria + Website Selection
   │
   ▼
Firecrawl Extraction (Zillow, Realtor, Trulia, Homes.com)
   └── Structured property listings (Pydantic)
   │
   ▼
Market Analysis Agent (Gemini 2.5 Flash)
   └── Market trends and neighborhood insights
   │
   ▼
Property Valuation Agent (Gemini 2.5 Flash)
   └── Per-property investment assessments
   │
   ▼
Streamlit tabs: Properties, Market Analysis, Valuations

Supported websites

| Website | Data Extracted |

|---------|---------------|

| Zillow | Listings, prices, beds/baths, sqft |

| Realtor.com | Listings, prices, property details |

| Trulia | Listings, neighborhood data |

| Homes.com | Listings, property features |

Features

  • Multi-site property search with Firecrawl structured extraction
  • Pydantic schemas for consistent property data
  • Gemini 2.5 Flash agents for market analysis and valuations
  • Streamlit UI with property comparison tabs and metrics
  • Configurable search criteria: budget, type, beds, baths, sqft, features

Quick start

cd estateforge-ai
pip install -r requirements.txt
streamlit run app.py

Required API keys

  • Google AI API key — Gemini agents for analysis and valuation
  • Firecrawl API key — property listing extraction from real estate sites

Project structure

estateforge-ai/
├── app.py
├── estateforge/
│   ├── config.py
│   ├── schemas.py
│   └── search.py
├── requirements.txt
├── pyproject.toml
└── README.md

Who this is for

  • Home buyers comparing properties across listing sites
  • Real estate investors evaluating market opportunities
  • Agents researching listings and neighborhood trends
  • Developers learning Firecrawl + Gemini agent patterns for real estate

Use cases

  • Search properties by city, state, budget, and criteria across multiple sites
  • Compare listings side-by-side with structured data
  • Get AI market analysis for target neighborhoods
  • Receive per-property investment valuations and recommendations

Author

License

MIT © Sharad Khare