I led the development of an automated product-crawling tool that enables Cubework Marketplace sellers to effortlessly source high-performing products from Amazon and import them directly into their Cubework seller accounts.

How the Tool Works

• The system crawls Amazon for top-selling products based on Best Seller Rank (BSR), allowing users to discover high-demand items across multiple categories.
  
  
• It automatically scrapes product data, including:
  
  
  • Product title
  • Description & bullet points
  • Pricing
  • Main & additional product images
  • BSR and ranking indicators
    
    
• Users can then instantly import these products into their Cubework Marketplace store, reducing the time and effort required for product research, listing, and catalog creation.
  
  

Role-Based User Flow and Seller Benefits

• Built specifically for Cubework Marketplace sellers to streamline their product acquisition workflow.
• Allows sellers to quickly relist or replicate winning Amazon products on Cubework—eliminating manual copying, data entry, and image downloading.
• Helps sellers expand their catalog, test new product ideas, and speed up time-to-market.
  
  

My Contributions

• Defined system requirements and user flows.
• Collaborated with engineers on the crawling logic, data mapping, and import APIs.
• Designed UI/UX for searching, filtering by BSR, previewing products, and one-click importing.
• Ensured compliance with marketplace listing standards and optimized product-matching accuracy.
• Conducted QA testing to validate scraping accuracy and import flow reliability.
  
  

Business Impact

• Significantly reduced product listing time for sellers.
• Increased marketplace inventory volume and seller engagement.
• Provided sellers with a competitive, automated product-research advantage.