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To make the scraper more robust, adding error handling ensures smooth operation even if some elements are missing. For example, if a property doesn’t display a price or amenities, the scraper should skip it without crashing. Conditional checks for missing data prevent runtime errors and maintain efficiency. Logging skipped properties can help…

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Adding robust error handling ensures that the scraper runs smoothly even if GoFundMe updates its page layout. For example, if elements like goals or raised amounts are missing, the scraper should log these cases without crashing. Using conditional checks for null values or try-catch blocks allows the script to continue working effectively.…

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For pagination, I use loops to follow “Next Page” links until no more pages are available. This ensures I capture all matches in the schedule.

For JavaScript-heavy sites, I prefer Puppeteer. It ensures all dynamic elements are fully loaded before scraping.

APIs are the best option if available. They’re faster and more reliable than parsing HTML, especially for collecting large datasets over time.

For lazy-loaded images, I rely on Selenium to scroll through the page and ensure all images are loaded before scraping.

Error handling is critical for ensuring the scraper works reliably even if Shutterfly updates its page structure. Missing elements, such as prices or descriptions, can cause the scraper to fail without proper checks. Adding conditional statements to skip entries with missing data ensures the script continues running smoothly. Logging…

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Error handling ensures the scraper remains functional even if Fiverr’s site structure changes. For example, if a freelancer doesn’t have a price or review count displayed, the scraper should skip that profile gracefully without crashing. Adding try-catch blocks or conditional checks for null values can help maintain the scraper’s…

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