Automated Property Deal-Sourcing System Creation

Project Overview I am looking for an experienced developer/automation specialist to build an automated property deal-sourcing and analysis system for a property flipping business. The strategy is: Find property → analyse comparable sales → estimate resale value → calculate maximum purchase price → calculate expected profit → track auction/offer → purchase → renovate → sell. The system needs to reduce the amount of manual time spent searching property websites and analysing individual properties. The system should be designed so additional suburbs can easily be added later. Current Buy Box Maximum purchase price: $650,000 Minimum required project profit: $80,000 Maximum renovation budget: $50,000 Holding cost allowance: $10,000 Finance assumptions should be configurable The system must calculate a maximum purchase price / maximum auction bid rather than simply comparing against the asking price. The system should capture, where available: Sale type Date found Suburb Address Listing URL Agent Advertised/asking price Auction date Deadline date CV/RV Last sale date Last sale price Floor area Land area Bedrooms Bathrooms Property type Ownership type Year built Listing description Source Important: Do not scrape websites or bypass restrictions where this is prohibited. Where direct API access is not permitted, use legitimate email alerts, APIs, feeds or other approved methods. 2. Sale Type Sale Type must be the first field in the main database. Include: Auction Asking Price Price by Negotiation Deadline Sale Tender Enquiries Over Offers Over By Negotiation Set Sale Date Other Auction properties need additional fields for: Auction date Auction time Auction location Auction status Maximum auction bid Final auction result Final sale price 3. Comparable Sales Database This is a critical part of the project. For each potential property, the system should allow recent sales of other properties in the same suburb or nearby area to be recorded. Comparable sales should include: Address Suburb Sold date Sold price CV/RV Floor area Land area Bedrooms Bathrooms Property type Condition Renovation status Distance from target property Source Source URL The system should help identify relevant comparable properties based on factors such as: Same/substantially similar suburb Distance Bedrooms Bathrooms Floor area Land area Property type Renovated condition Renovated comparable sales should be distinguishable from original/dated properties. The purpose is to estimate the after-renovation resale value (ARV) of the property being considered. 4. Exact Property 10-Year Sales History This is separate from comparable sales. Once I identify a property I am seriously considering, I want the system to record the exact property's own sales history for approximately the last 10 years, including: Sale date Sale price CV/RV Floor area Land area Bedrooms Bathrooms Source Previous sale Price change Percentage change This data must not be confused with the comparable-sales dataset. 5. Deal Calculator The system must calculate: Maximum Buy Price = ARV − renovation − renovation contingency − holding costs − finance costs − purchase/legal costs − selling costs − required profit = Maximum Buy Price The calculation must also respect the hard purchase ceiling of $650,000. For auctions: Maximum Auction Bid = Maximum Buy Price The system should clearly display: MAXIMUM BID so I know the absolute amount I should not exceed. 6. Renovation Calculator Create a renovation estimate with line items such as: Kitchen Bathroom Painting Flooring Electrical Plumbing Roof Windows Landscaping Exterior Heating Insulation Other Contingency The system should calculate total renovation cost and flag anything above the $50,000 renovation limit. 7. Deal Screening Each property should automatically be classified based on the configured rules, for example: Potential Review Reject The system should explain the reason rather than simply giving a numerical score. Example: POTENTIAL Expected profit above $80k Purchase price below maximum buy Renovation within $50k ARV supported by comparable sales or: REVIEW ARV requires more comparable sales Renovation estimate incomplete Due diligence pending 8. Dashboard Create a clean dashboard showing: Total listings New listings Potential deals Auctions Upcoming auctions Deadline sales Properties requiring review Average asking price Potential deal count by suburb Auction count by suburb Potential profit Maximum purchase prices Allow filtering by: Suburb Sale type Price Auction date Deal status Renovation budget Expected profit 9. Deal Pipeline I want to track the property from discovery through to purchase: New Listing → Review → Comparable Sales → Renovation Estimate → Due Diligence → Ready to Bid/Offer → Offer/Auction → Purchased → Renovation → Listed → Sold Include fields for: Initial offer Counter offer Final agreed price Auction result Deposit Settlement date Conditions LIM Building inspection Title Finance Due diligence Purchase status 10. Automation