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Organizing metadata by category, such as electronics or clothing, helps me manage and analyze large datasets across different product types.

Tracking price per square foot on Zillow reveals real estate inflation trends, particularly valuable for investment analysis.

I focus on top-traded coins, like Bitcoin and Ethereum, which reduces the volume of data while maintaining insight into the market’s pulse.

Rotating IPs and user-agent headers in requests reduces detection risk when frequently accessing 1688.com’s popular products.

I implement conditional checks within my scraper to handle optional fields that may appear on some stores but not others.

For large-scale tracking, I store price data in a database and compare it periodically to identify trends or price drops.

For infinite scrolling pages, I use Selenium’s execute_script method to automate scrolling and ensure all content is loaded before scraping begins