Score Zillow listings for investment potential and log them to Sheets

Pulls Zillow listings, has AI score their investment potential, and saves the results into a Google Sheet.

How the work actually flows

It branches. Exactly one path is taken; runs once per each new listing.

Pattern: Multiple Instances without Synchronization (12) · Exclusive Choice (4)

flowchart TD trig[\"new zillow listings exist"\]:::trigdata s0[["pull new listings"]]:::mi s1["filter incomplete listings"]:::task s2["ai scores investment potential"]:::svc s3[("update google sheet")]:::store trig --> s0 s0 --> s1 s2 --> s3 gx{"× listing has price and details"}:::gate s1 --> gx p00["skip listing"]:::task gx -->|"missing details"| p00 p10["continue to scoring"]:::task gx -->|"complete details"| p10 p00 --> s2 p10 --> s2 out[/"ranked property scores in sheet"/]:::out pay{{"spot deals without manual review"}}:::pay s3 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepAn outside serviceRuns once per itemA record or sheetOne path onlyResultPayoff
Build size
Standard

A mid-size build with several tools working together.

Business functions
Spreadsheet & Database OpsReal Estate & Property
Connects
ZillowApifyOpenAIGoogle Sheets

The problem it solves

You spend hours manually browsing Zillow, copying listing details, and trying to judge which properties are worth pursuing. Comparing dozens of listings by hand is slow and easy to get wrong, and there's no central place to track what you've already reviewed.

Who it fits

Real estate investors, analysts, or small investment teams evaluating multiple properties at once.

How it works

  1. New property listings are pulled from Zillow
  2. Incomplete listings missing price or details are skipped
  3. AI reviews each listing and assigns an investment score from 1 to 10
  4. Scored properties are added or updated in Google Sheets
What you get

Properties ranked before you dig deeper

You get every new Zillow listing scored for investment potential and logged into a spreadsheet automatically.

What you get

An always-current Google Sheet ranking properties by investment potential.

What you need

An Apify account for scraping Zillow, an OpenAI API key, and a Google account for Sheets.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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