[Jasna Ada]

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 help maintain its effectiveness despite website changes. These practices improve the scraper’s usability and robustness over time.

[Jasna Ada]

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 script keep it functional despite changes to the website’s structure. These measures improve the scraper’s adaptability and reliability over time.

[Jasna Ada]

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 to the script help maintain its functionality despite changes to the site. These practices improve the scraper’s reliability and usability over time.

[Jasna Ada]

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 help maintain its effectiveness despite changes to Idealo’s website. These practices improve the scraper’s reliability and usability over time.

[Jasna Ada]

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 over time. These enhancements make the scraper more robust and versatile for in-depth analysis.