• Use proxies and user-agent rotation to avoid IP blocking, especially when scraping high-demand categories like fashion or footwear.

• Traveloka’s flight tracking data includes information on seat availability, which is useful for analyzing travel demand trends.

Using location-based proxies, I can capture data from country-specific Shopee and Lazada sites, as popular gadgets vary by region.

• Rotating proxies for each country enables access to region-specific data, as trends vary widely between countries in Southeast Asia.

• Setting up proxy rotation enables frequent checks on top categories like tech gadgets and fashion without getting blocked.

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.