Shopify Store Scraper

Overview

This actor performs a one-time, comprehensive analysis of any Shopify store. It extracts the complete product catalog and generates business intelligence, including tech stack detection, pricing analysis, and estimated sales metrics. Output is one consolidated intelligence record per store.

Key Features

• Full Product Catalog: Scrapes all products, variants, pricing, and inventory status. Calculates price ranges (min/avg/max) and discount percentages.
• Tech Stack Detection: Identifies the store's theme and over 20 categories of installed Shopify apps via HTML pattern matching, including review platforms (Judge.me, Yotpo), email tools (Klaviyo), and payment systems (Afterpay).
• Business Metrics: Estimates total sales (based on review data), calculates average product rating, review coverage percentage, inventory health, and provides a store age estimation.
• Competitive Analysis: Analyzes pricing strategy, category distribution, discount rates, and provides SEO indicators like images per product.

How to Use

Provide an array of Shopify store URLs as input. The actor will scrape each one and return a detailed intelligence report.

Input

Configure the actor with a JSON object containing the store URLs.

{
  "storeUrls": [
    { "url": "https://example-shop.com" },
    { "url": "https://another-store.com" }
  ]
}

• storeUrls (required): Array of store URL objects.
• proxyConfiguration (optional): Use Apify proxies for larger stores.

Output

Each analyzed store generates a single JSON record containing approximately 40 fields of intelligence. The output includes:
* Store domain and metadata.
* Arrays of all products and detected apps.
* Calculated metrics: price ranges, sales estimates, review coverage, inventory health.
* Analysis: category breakdown, pricing strategy, tech stack summary.

The structure is designed for direct integration into competitor research, market analysis, or tech stack discovery workflows.