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Error handling ensures the scraper works reliably even if Robinhood updates its website layout. Missing elements, such as prices or changes, could cause the script to fail without proper checks. Adding conditions for null values or implementing try-catch blocks prevents runtime errors. Logging skipped stocks helps identify issues and refine…

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Lazy-loaded images can be tricky. I use Selenium to scroll through the page and trigger the loading of all images before starting the scraping process.

For sites that embed data in JSON, I extract it directly by monitoring network traffic. This method is faster and avoids the complexity of parsing HTML.

RSS feeds are an underrated source of structured blog data. When available, I use them as they’re more reliable and faster than parsing HTML.

For JavaScript-heavy sites, Puppeteer is my tool of choice. It can load live updates and extract the required scores without breaking.

I prefer using Selenium for property websites with dynamic filters. It allows me to interact with dropdowns and sliders to customize the data I’m extracting.

For dynamically loaded job listings, I use Puppeteer to simulate scrolling and load additional content. It’s slower but ensures complete data extraction.

Adding error handling ensures that the scraper remains reliable even if some elements on Turo’s site are missing or incorrectly formatted. For example, not all car listings may display prices or locations, and the scraper should skip these without crashing. Logging skipped entries helps in identifying patterns and refining the scraper over time.…

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