• I categorize reviews by cuisine type or location, which makes it easier to analyze consumer preferences in each region.

• For price analysis, I store historical property data, allowing me to see how home values change over time in different neighborhoods.

Puppeteer’s wait functions help capture all page elements, including images and dynamically loaded reviews, for comprehensive data.

• Use Python’s Pandas to store travel package details like price, dates, and ratings, allowing for analysis of trends over time.

• For large review sections, schedule periodic scrapes to track sentiment changes over time, particularly for top-selling electronics.

• Setting up a scheduled scraper lets me track price drops on high-demand items, particularly in categories like electronics or fashion.

Rakuten often provides structured data via JSON embedded in HTML. I parse this directly to capture detailed product info without complex HTML scraping.