E-commerce Product Variant Scraper

I developed a custom web scraping solution for extracting all product variants from the Product Detail Pages (PDP) of a major e-commerce website. The goal was to gather structured data on available sizes, colors, pricing, and stock availability for each product listed on the site.

Using Python along with libraries like BeautifulSoup, Selenium, and Pandas, I built a robust scraper that could handle dynamic content, JavaScript-rendered elements, and pagination. I also implemented logic to clean, format, and export the data into structured formats such as CSV and JSON for easy analysis and integration.

The solution helped the client save hours of manual work and allowed them to track competitor pricing and inventory trends efficiently. It was scalable, adaptable to other e-commerce platforms, and easy to maintain with minimal updates.