Uncover the technical stack, product insights, and sales trends of any Shopify store.
Discovery: find stores by category from 321K+ directory, then deep-analyze each one. URL: analyze specific store URLs.
Filter stores by category (leave empty for all stores). Examples: fashion, electronics, food/coffee, skincare/serum
Maximum number of stores to discover and deep-analyze. Each store takes 3-15s to analyze (products, apps, reviews). Default 20 = ~2 min run.
Max directory pages to scan for stores (~300 stores/page). Usually 1 page is enough since maxStores limits actual analysis.
Analyze product pages to detect reviews and ratings. Disable for faster runs (~5x) if you don't need review metrics.
Results to deliver
800 creditsThis agent actively searches live listings — results may vary. You are only charged for what is delivered, up to this number.
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Pricing
This tool provides a detailed profile of Shopify stores, revealing their installed apps, themes, top products, estimated sales, and review data. Gain a competitive edge by understanding what makes successful Shopify shops tick.
This Shopify Store Scraper offers two distinct modes to gather intelligence on online stores built on the Shopify platform. Whether you're researching a specific competitor or exploring a market niche, this tool delivers valuable data. ### Discover Stores by Category In 'discovery' mode, you can explore a vast directory of Shopify stores, filtering them by specific categories like 'fashion/shoes', 'food/coffee', or 'skincare/serum'. This is ideal for market research, identifying emerging brands, or finding potential partners within a specific vertical. You control the breadth of your search by setting the maximum number of stores to analyze and how many directory pages to scan. For example, you might look for 50 'fashion' stores to understand common app usage and pricing strategies in that space. ### Analyze Specific Store URLs If you already know which Shopify stores you want to investigate, the 'URL' mode allows you to provide a list of direct store links. This is perfect for deep-diving into known competitors, client stores, or prospective leads. The tool will then perform a detailed analysis on each provided URL. ### Deep Dive into Store Metrics For every analyzed store, you'll receive a rich dataset covering various aspects. This includes a list of all detected apps and their categories (e.g., 'Analytics', 'Email Marketing', 'Reviews'), the Shopify theme name and version, and an estimated launch date. You'll also see detailed product insights such as the total number of products and variants, average and top product prices, and the percentage of products on sale or with descriptions and images. Crucially, the tool provides estimated sales figures and inventory availability percentages, offering a snapshot of a store's commercial health. ### Understand Customer Sentiment Optionally, you can choose to extract review data. This will provide metrics like the average product rating, the average number of reviews per product, and the percentage of products with reviews. Disabling this feature can significantly speed up the data extraction if review insights are not critical to your current research. For each store, the output also includes its country, currency, and the dates of its newest and oldest products, giving you a sense of its market and operational history.
Choose between 'Discovery' mode to find stores by category or 'URL' mode to analyze specific Shopify links.
If in 'Discovery' mode, select a store category from the extensive list and set the maximum number of stores to analyze.
If in 'URL' mode, paste the Shopify store URLs you want to deep-analyze into the provided field.
Optionally, enable or disable the extraction of review data based on your needs; disabling speeds up the process.
Run the tool, and it will begin processing the selected or provided Shopify stores.
Once complete, download a structured dataset containing all the detailed store and product intelligence.