Error handling is essential for maintaining the reliability of the scraper when working with Immowelt.de. Missing elements, such as property prices or names, should not cause the scraper to fail. Adding conditional checks ensures smooth operation and provides logs for skipped entries, which can be reviewed later. Regular updates to the script…

Read more

Error handling is important for ensuring that the scraper remains functional despite updates to LeBonCoin’s layout. Missing elements, such as ad prices or locations, should not cause the scraper to fail. Adding conditional checks ensures smooth operation and provides logs for skipped entries, which can be reviewed later. Regular updates to the…

Read more

Error handling ensures that the scraper runs smoothly even when Zoopla updates its website layout. Missing elements like property prices or descriptions can cause the scraper to fail without proper checks. Adding conditional statements to handle null values ensures continuous operation and provides valuable logs for refinement. Regular updates…

Read more

Error handling ensures that the scraper remains functional even when Idealo updates its layout. Missing elements such as product prices or names can cause issues, but adding conditional checks ensures smooth operation. Logging skipped entries provides valuable insights into potential improvements for the scraper. Regular updates to the script…

Read more

Another important feature to add is detecting duplicate reviews. Often, users might post similar reviews for multiple products or the same review on multiple pages. Adding a mechanism to identify and eliminate duplicate entries ensures the data remains clean and relevant. Including metadata like review dates can also help in analyzing trends…

Read more