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extract-property-appraisal

Extract structured appraisal details from property appraisal reports into JSON.

2|Updated Mar 14, 2026
Search Tags:#schema#json#document-processing#data-extraction#extract#real-estate#appraisal
One-click install
npx skills add https://github.com/iterationlayer/skills --skill extract-property-appraisal
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: extract-property-appraisal
Source: https://github.com/iterationlayer/skills/tree/main/skills/extract-property-appraisal
Command: npx skills add https://github.com/iterationlayer/skills --skill extract-property-appraisal

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Appraisal reports contain nuanced, unstructured data. This Skill digitizes key values (subject address, appraised value, effective date, property type, living area, year built, bedrooms, bathrooms) and comparable sales into a consistent JSON schema to simplify integration with lenders and valuation databases.

Core Features & Use Cases

  • Schema-driven extraction of: subject_address, appraised_value, effective_date, property_type, gross_living_area_sqft, year_built, bedrooms, bathrooms, and comparable_sales (with nested address, sale_price, sale_date, gross_living_area_sqft).
  • Use cases include feeding loan origination systems, valuation databases, and property data repositories with standardized appraisal data.
  • Supports integration with Document Extraction APIs and downstream analytics workflows.

Quick Start

Upload a property appraisal PDF and call the Extraction API with the provided schema to obtain structured JSON.

Frequently Asked Questions about extract-property-appraisal

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract data from a property appraisal report into JSON?▼

Yes, the extraction schema captures comparable sales as a nested array, including specific fields for address, sale_price, sale_date, and gross_living_area_sqft. This structures comparable property data directly within the main JSON output for valuation databases.

What structured fields can I extract from real estate appraisal documents?▼

Structured appraisal data standardizes property values for feeding loan origination systems, valuation databases, and property data repositories. It bridges unstructured appraisal reports and downstream analytics workflows, simplifying integration with lenders and mortgage platforms.

How do I convert unstructured appraisal PDFs for mortgage lending workflows?▼

The schema enforces strict data types for appraisal extraction, mapping appraised_value to CURRENCY_AMOUNT, gross_living_area_sqft to INTEGER, and bathrooms to DECIMAL. This ensures formatted numerical data consistency for valuation databases.

Does the appraisal extraction schema support nested comparable sales data?▼

Yes, the extraction schema captures comparable sales as a nested array, including specific fields for address, sale_price, sale_date, and gross_living_area_sqft. This structures comparable property data directly within the main JSON output for valuation databases.

What structured fields can I extract from real estate appraisal documents?▼

Structured appraisal data standardizes property values for feeding loan origination systems, valuation databases, and property data repositories. It bridges unstructured appraisal reports and downstream analytics workflows, simplifying integration with lenders and mortgage platforms.

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