[Agrafena Oscar]

One improvement for the scraper is implementing error handling for network issues and missing elements. Network errors such as timeouts or unexpected responses can cause the program to crash without proper error handling. For example, wrapping the HTTP request and parsing logic in try-catch blocks ensures the script can continue even if an error occurs. Additionally, some products may not have prices or ratings, so adding conditional checks for null or empty fields ensures the program does not break during parsing. Logging errors and skipped items can help refine and debug the scraper over time.

[Agrafena Oscar]

One improvement to the scraper is handling pagination to collect data from all available pages. Target.com typically displays a limited number of products per page, so navigating through all pages ensures a comprehensive dataset. The “Next” button can be identified and its link extracted to load subsequent pages programmatically. Adding a delay between requests reduces the chances of being flagged as a bot. This approach allows you to gather a complete list of products without overwhelming the server.