Real Estate Deal Analysis Platform (Belgium)

# Real Estate Deal Analysis Platform (Belgium) ## Goal I am a Belgian real estate investor building a proprietary database and deal-finding system. The long-term goal is to create an AI-powered acquisition agent that automatically searches real estate websites, analyzes opportunities, estimates rental income, and ranks investment properties based on profitability. This project will be built in phases. --- # Phase 1: Real Estate Database I already have an Excel database with property information. I want a professional system that can store and analyze: ### Property Information * Date found * Listing URL * Address * Municipality * Province * Property type * Number of bedrooms * Living area (m²) * EPC score * Construction year * Elevator (yes/no) * Terrace (yes/no) * Parking/Garage (yes/no) * Average Price for 1 bedroom appartment * Average Price for 2 bedroom appartment * Average Price for 3 bedroom appartment * average price per epc label.   ### Purchase Data * Asking price * Price per m² * Estimated renovation cost * Notary costs * Total investment cost ### Rental Data * Expected monthly rent * Rent per m² * Gross rental yield  ### Investment Analysis * Deal score (0-100) --- # Phase 2: Rental Market Database I want a separate rental database containing: * Address * Municipality * Property type * Bedrooms * Living area * EPC score * Monthly rent * Rent per m² The purpose is to build a local rental model for cities such as: * Hasselt * Sint-Truiden * Genk * Turnhout * Antwerp This rental database will later be used to estimate rents automatically. --- # Phase 3: Automated Data Collection The system should automatically collect listings from: * Immoweb * Immoscoop  * Zimmo * Immovlan * Local agency websites For each listing, the system should automatically extract: * Price * Surface area * Bedrooms * EPC * Address * Listing URL * Photos And save everything into the database. --- # Phase 4: AI Property Analysis For each property, I want the system to: ### Calculate * Price per m² * Expected rent * Rent per m² * Gross yield * Total investment * Estimated profit ### Generate * Deal score * Short investment summary * Pros and cons * Renovation potential estimate --- # Phase 5: Daily Opportunity Finder Every morning I want the system to automatically report via email or whatsapp :  Example: "237 new listings found" "12 properties match your criteria" "Top Opportunity" * Location: Sint-Truiden * Price: €155,000 * Surface: 85 m² * EPC: 198 * Estimated Rent: €875/month * Gross Yield: 6.8% * Deal Score: 91/100 --- # Technical Requirements I am open to suggestions. Possible stack: * Python * PostgreSQL * Airtable * Excel integration * OpenAI API * Web scraping * Automation workflows I am looking for someone who can help design the architecture and build this system in stages. Please explain: 1. How you would approach this project. 2. Which technologies you recommend. 3. Estimated cost per phase. 4. Estimated development timeline.