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Step Guide: Property Lookup

Research

Look up property data by address

Overview

The Property Lookup step takes a street address broken into components (street, city, state, and optional zip code) and returns detailed property information including bedrooms, bathrooms, square footage, year built, owner details, and property features. Both field sets are locked with system-defined fields.

When to Use

  • Enrich real estate lead data with property details
  • Build property comparison workflows that aggregate data across multiple addresses
  • Generate property reports by combining lookup data with PDF generation
  • Validate or supplement property data from other sources

How It Works

The step reads street, city, and state fields from its input record (zip is optional). These must be non-empty US address components. The address is sent to a property data API, which returns 20+ fields including formatted_address, city, state, zip_code, county, latitude, longitude, property_type, bedrooms, bathrooms, square_footage, lot_size, year_built, owner_occupied, owner details, and features (pool, garage, cooling, heating, room_count, floor_count, architecture_type). All output fields are system-defined and locked.

Tips
  • The street, city, and state fields must be non-empty. Zip is optional. The step fails if required fields are blank
  • Output includes nested owner and features objects with detailed property attributes
  • Combine with Evaluate steps to compute metrics like price per square foot
  • Use in a For Each loop to look up multiple properties from a CSV or Google Sheet