Data Extraction Capabilities
ShopScraping is a tool for collecting and managing e-commerce data.
Whether you need to monitor competitors, structure your catalog, or migrate data, the platform provides a streamlined way to collect and use this information.
Standard Data Fields
For each product, ShopScraping extracts a consistent set of core attributes to ensure compatibility across different platforms and use cases. If this information is available on the product page, it will be extracted.
Default fields include:
Product name
Product URL
Price (current)
Currency
Availability / stock status
Product description
Product specification
Product identifiers: SKU, EAN, GTIN
Brand / manufacturer
Category / breadcrumb structure
Main product image URL
Additional image URLs
Rating data
These fields form a standardized dataset suitable for analytics, catalog management, and migration tasks.
Extended and Custom Data Fields
In addition to standard fields, ShopScraping supports extraction of custom and advanced attributes, depending on the structure of the target website.
Examples include:
Product variants (size, color, configuration)
Promotions and labels (e.g., “Sale”, “New”)
Attributes and filters (material, dimensions, etc.)
Shipping details (if publicly displayed)
Metadata (tags, internal categories)
Custom field extraction can be configured per project to match your specific data model.
Upon request, we can provide a sample dataset for review and approval before full extraction begins.
Image Extraction and Storage
ShopScraping supports extraction and management of product images.
Capabilities include:
Extraction of all available product images
Support for multiple image formats and resolutions
Preservation of image order (main image + gallery)
Storage options:
Save image URLs only
Download and store images locally
Export images alongside datasets
This allows seamless use of visual content for catalog building, migration, or analysis.
Category & Brand Level Scraping
Category and Brand Level Scraping is a data extraction method that collects comprehensive product information from selected sections of an e-commerce website — such as specific categories or brands. Unlike full-site scraping, this approach enables targeted data collection while still extracting detailed information from individual product pages.
During the process, the scraper navigates through category or brand listings and automatically accesses each product page to retrieve complete and structured datasets. This ensures high data accuracy and depth while maintaining efficiency and focus.
This approach allows businesses to monitor pricing and promotions, compare brands across retailers, build or update product catalogs, and identify market trends — without scraping the entire website.
Category-Level Scraping
Category-level scraping extracts data from pages that group products by type or classification (e.g., Laptops, Running Shoes, or Smartphones). After identifying products within a selected category, the scraper visits each product page to collect detailed information.
Brand-Level Scraping
Brand-level scraping focuses on products associated with a specific manufacturer or brand. The system collects product listings within the selected brand and retrieves full product details from individual product pages.
Key Advantage
Category and brand scraping provides the flexibility to extract data from specific sections of a website instead of scraping the entire domain. This results in reduced processing overhead and highly relevant datasets.
Data Collection Boundaries
ShopScraping collects only publicly available information from e-commerce websites.
We do not extract:
Personal data
Contact details (emails, phone numbers, etc.)
Private or restricted content