ecommerce json intelligence

E-commerce data extraction often fails due to complex DOM structures or anti-bot measures. This skill bypasses surface-level HTML by targeting public JSON endpoints and Schema.org metadata to extract clean, structured product data.

What it does

• JSON Endpoint Extraction targets Shopify products.json and WooCommerce REST APIs for raw product data.
• Variant Analysis captures granular data including SKUs, individual variant prices, and availability status.
• Metadata Scraping pulls structured product feeds from Product JSON-LD markup.
• Statistical Computation calculates catalog-wide metrics like price distributions, average discounts, and stock ratios.

How it works

1. Identify store type by probing the URL for specific e-commerce footprints like /products.json or /wp-json/.
2. Fetch product objects in batches to retrieve the full catalog, including hidden variant details.
3. Parse and normalize the raw JSON into a unified schema covering titles, SKUs, prices, and stock status.
4. Aggregate metrics to produce a summary report on pricing health and inventory availability.

Frameworks & tools

This skill works with Shopify stores, WooCommerce installations, and any site implementing Schema.org JSON-LD product markup.

Why this beats prompting it yourself

Standard agents struggle with pagination and nested variant arrays in raw JSON. This skill provides specific logic to traverse Shopify's 250-item limit and WooCommerce's REST architecture for complete, error-free catalog exports.

Use cases

• Generate competitor pricing reports to identify markdown trends and discount rates.
• Monitor stock availability for specific SKUs across multiple retail sites.
• Audit a Shopify store's variant pricing consistency and inventory health.

Known limitations

Requires stores to have public JSON endpoints or JSON-LD enabled. Cannot bypass sites with advanced headless setups that block all public API access.