The Idea\n\nI was bored with the static data that most tutorials give me. I wanted to pull real product info from a site that loads its catalog with JavaScript. So I built a small, but repeatable scraper.\n\n## What It Does\n\nIt opens a browser, scrolls until every item shows, grabs the HTML, and then parses it. The first pass only grabs the top five products in the first category, but you can drop the limits to crawl the whole site. The output lands in data.json, ready for analysis or a frontend.\n\n## Why It Matters\n\nE-commerce sites fight bots, but they also reveal a lot about pricing trends and inventory. Having an automated, configurable pipeline lets you keep the data fresh without hunting the DOM manually every time.\n\n## How I Built It\n\nI split the logic into four small scripts so each file has one clear responsibility. The main driver, navigator.py, stitches them together. Selenium handles the heavy lifting, while BeautifulSoup does the light parsing. WebDriver Manager keeps the driver up to date automatically.\n\n## Future Ideas\n\nAdd a scheduler, store results in a database, or feed the data into a machine learning model to detect price drops. The code is ready to grow.