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• I use proxies to access different regional versions of the sites, as prices and availability vary widely across countries in Asia.

By storing historical data, I can track which products, like smartphones or earbuds, are consistently popular across multiple months.

Monitoring product reviews and ratings helps me gauge consumer interest and see which items generate the most positive feedback.

• Capturing city- and neighborhood-level data allows me to compare trends across regions, such as price per square foot or listing volume.

For dynamically loaded elements like images, Selenium can render the full page, allowing me to capture all visual content.

Scheduling scrapes at different times of day captures price fluctuations, helping me track changes during active trading hours.

eBay’s HTML structure often includes variation data directly on the product page, which I access using CSS selectors to capture all options.