Automating Shopify & WooCommerce Competitor Price Monitoring & Contact Extraction with Python

Description and use

Automating competitor product and contact data extraction from Shopify and WooCommerce using Python and cloud scrapers speeds up and improves the accuracy of competitive intelligence.

Problem

Tracking competitor product catalogs, stock availability, price drops, and store contact details across Shopify and WooCommerce stores is a massive competitive advantage.

Outcome

Automated scripts and cloud scrapers enable rapid, repeatable extraction of competitor product data and contact details, improving competitive intelligence and enabling timely pricing decisions.

Workflow

• Identify target Shopify or WooCommerce store URLs
• Use Shopify /products.json or WooCommerce /wp-json/wc/store/v1/products API endpoints to fetch structured product JSON
• Parse JSON to extract product fields and calculate discount percentages
• Collect store owner emails and social links from contact pages or JSON metadata
• Export data to CSV/Excel or integrate with dashboards
• Schedule periodic runs for continuous monitoring

Evidence

Almost all Shopify storefronts expose a paginated JSON feed at /products.json?limit=250&page=1 containing every product, variant price, compare‑at price, SKU, vendor, and availability flag.

Source

Modern WooCommerce stores expose the Store API at /wp-json/wc/store/v1/products?per_page=100, with fallback to ld+json Product schema and OpenGraph price tags.

Source