[Heli Burhan]

A key improvement to the scraper would be to add pagination handling. Chewy’s product listings often span multiple pages, and scraping only the first page limits the completeness of the dataset. By identifying and programmatically following the “Next” button, the scraper can iterate through all pages in the category. Introducing random delays between requests reduces the risk of detection by anti-bot mechanisms. This ensures that your scraper captures all available product data across multiple pages effectively.

[Heli Burhan]

A good way to enhance the scraper is by adding support for pagination to gather data from multiple pages. Nordstrom often splits product listings across multiple pages, so automating the process of navigating through “Next” buttons is essential. By tracking and following pagination links, you can scrape a complete dataset for a category. Including random delays between requests ensures the scraper mimics human behavior and reduces the risk of detection. This method allows for a more comprehensive analysis of Nordstrom’s product catalog.