[Katerina Renata]

To improve the scraper’s efficiency, implementing pagination allows for the collection of more campaign data. GoFundMe often lists a limited number of fundraisers per page, so scraping all available pages ensures a more complete dataset. By automating navigation through “Next” buttons, the scraper can capture additional campaigns. Introducing random delays between requests further reduces the likelihood of detection. This functionality ensures the scraper collects data comprehensively.

[Katerina Renata]

For changing layouts, I write modular scrapers with separate functions for parsing different sections. This makes it easier to update the scraper when the site structure changes.

[Katerina Renata]

One way to enhance the scraper is by implementing error handling for unexpected changes in the website structure. BestBuy may update its HTML layout, which could cause the scraper to break. By checking for null or undefined elements before attempting to extract data, you can avoid runtime errors. Logging skipped items and errors allows you to debug and adjust the scraper as needed. This ensures that the scraper remains reliable even if minor changes occur on the site.

[Katerina Renata]

Error handling ensures that the scraper remains functional even when some elements are missing or the website structure changes. For example, some car listings might not display prices or mileage, which could cause the script to fail without proper checks. Wrapping the parsing logic in conditional statements ensures the scraper skips missing elements and continues with the remaining data. Logging skipped listings helps identify patterns and refine the script over time. Regular updates to the scraper keep it reliable despite changes in Cars.com’s layout.

[Katerina Renata]

Error handling is a vital aspect of building a reliable scraper for PublicRecordsNow.com. Websites frequently update their structures, and if the scraper is hardcoded to specific tags, it may break when changes occur. To prevent crashes, the scraper should include conditional checks for null or missing elements. Logging errors and skipped records helps refine the scraper and makes it easier to identify issues. By handling these challenges proactively, the scraper remains robust and functional over time.

[Katerina Renata]

To enhance reliability, the scraper should include robust error handling for missing elements and network issues. Some products might not have ratings or prices displayed, which can cause the script to fail if not handled properly. Adding conditions to check for the presence of these elements before attempting to extract their data prevents such errors. Additionally, retry mechanisms for failed network requests ensure uninterrupted scraping even when temporary issues occur. Logging skipped items and errors helps refine the scraper and improve its robustness.

[Katerina Renata]

I always inspect the HTML structure first. It saves time by letting me target the exact elements containing the descriptions.

[Katerina Renata]

I’ve used Puppeteer for AJAX-heavy sites. It’s slower but reliable for capturing all dynamically loaded content.