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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…

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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…

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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…

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

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

For frequently updated weather data, I use Selenium to refresh the page and capture new information. It’s slower but ensures I get real-time updates.

Pagination is tricky, but I usually rely on detecting the “Next Page” button’s link. This ensures my scraper doesn’t miss any reviews, even if they’re spread across multiple pages.

One challenge I’ve faced is handling frequent page updates. Using tools like Selenium with short delays helps capture the most recent data accurately without overwhelming the website.