Using headers to simulate a popular Japanese browser reduces detection risk, making my requests appear more genuine.

I set up a loop to cycle through each variation and record details like price or availability, which often differ by variant.

• On Amazon, I compare ASINs across different pages to spot duplicate listings or variations of the same product.

Capturing market cap and circulating supply data from these sites allows me to calculate relative value across different coins.

• Using keywords, like “best sellers” or “trending,” I target only the top items in each category, reducing the number of pages needed to scrape.

• Adding a unique identifier for each store in my data helps organize and separate information from each source in my database.

• Organizing data by book genre or product category supports comparative analysis, particularly for Dangdang’s book marketplace.

I organize flights by route, time, and fare class, enabling detailed analysis of ANA’s pricing trends across travel seasons.