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Analyze real estate investment potential: Zillow properties to Google Sheets with GPT-4o

Fabian PerezFabian Perez
460 views
2/3/2026
Google SheetsZoho CRMSynchronizationAutomationLeads
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This workflow automates the process of scraping, analyzing, and storing real estate data from Zillow using Apify, OpenAI, and Google Sheets.

It begins by running an Apify Actor that extracts live property details such as price, location, and key features. The data is then cleaned and processed before being analyzed by an AI model that assigns an investment potential score (1–10).

To maintain reliable results, the AI only scores properties that include all required fields — for example, listings missing price or description data are automatically skipped. This ensures that only complete and accurate information is evaluated.

Finally, all valid results are appended or updated in a Google Sheet, creating a central, always-up-to-date property database for future analysis.

Ideal for real estate investors, analysts, and data-driven agencies, this template provides a fully automated loop for property collection, evaluation, and reporting — all in one flow.

Tools used: Apify, OpenAI, Google Sheets, n8nCaptura de pantalla 20251015 202643.png

n8n Real Estate Investment Analysis with GPT-4o and Google Sheets

This n8n workflow automates the process of analyzing real estate investment potential for properties, leveraging the power of GPT-4o and storing the results in Google Sheets. It's designed to streamline the research phase for real estate investors by providing AI-driven insights.

What it does

This workflow performs the following key steps:

  1. Reads Data from Google Sheets: It starts by fetching a list of property details (e.g., Zillow URLs, addresses) from a specified Google Sheet.
  2. Loops Over Properties: Each property entry from the Google Sheet is processed individually.
  3. Prepares Data for AI Analysis: For each property, it transforms and sets the necessary fields to be used as input for the AI model.
  4. Analyzes Investment Potential with OpenAI (GPT-4o): It sends the property details to OpenAI's GPT-4o model, prompting it to analyze the investment potential, identify pros and cons, and provide a summary.
  5. Updates Google Sheets with Analysis: The AI-generated analysis (pros, cons, summary, and potential investment score) is then written back to the original Google Sheet, enriching the property data.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running n8n instance.
  • Google Sheets Account: A Google Sheets spreadsheet containing your property data.
  • OpenAI API Key: An API key for OpenAI with access to the GPT-4o model.

Setup/Usage

  1. Import the Workflow:

    • Download the provided JSON file for this workflow.
    • In your n8n instance, click on "Workflows" in the left sidebar.
    • Click "New" and then "Import from JSON".
    • Paste the workflow JSON or upload the file.

  2. Configure Credentials:

    • Google Sheets:
      • Locate the "Google Sheets" node.
      • Click on the "Credential" field and select "New Credential".
      • Choose "Google Sheets API" and follow the instructions to authenticate your Google account. Ensure you grant necessary permissions to access your spreadsheets.
      • In the "Google Sheets" node, specify the "Spreadsheet ID" and "Sheet Name" where your property data is located.
    • OpenAI:
      • Locate the "OpenAI" node.
      • Click on the "Credential" field and select "New Credential".
      • Choose "OpenAI API" and enter your OpenAI API Key.

  3. Customize the Workflow (Optional):

    • Google Sheets Input: Adjust the "Google Sheets" node to match the column names and structure of your input spreadsheet. Ensure it reads the necessary property details (e.g., zillowUrl, address, price, beds, baths, sqft).
    • Edit Fields (Set): Review the "Edit Fields" node to ensure it correctly maps your input data to the variables expected by the OpenAI prompt.
    • OpenAI Prompt: The "OpenAI" node contains the prompt for GPT-4o. You might want to customize this prompt to get specific types of analysis or to include additional criteria relevant to your investment strategy.
    • Google Sheets Output: Verify that the "Google Sheets" node for writing data back correctly maps the output from OpenAI to the desired columns in your spreadsheet (e.g., investmentPotential, pros, cons, summary).

  4. Activate and Execute:

    • Once configured, activate the workflow by toggling the "Active" switch in the top right corner.
    • You can manually execute the workflow by clicking "Execute Workflow" to test it. For automated runs, consider adding a trigger node (e.g., a "Schedule Trigger" to run daily/weekly, or a "Webhook" to trigger on new data).

This workflow provides a powerful foundation for automating your real estate investment analysis, saving time and providing valuable AI-driven insights.

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