• By setting up regular scrapes, I monitor how prices fluctuate across popular destinations, like Tokyo or Kyoto, based on seasonal demand.

• For dynamic content, headless browsing with WebDriver in Rust captures Skyscanner’s full page, particularly for real-time prices.

Organize data by category, capturing product attributes like color and size for structured and clean output.

• Monitoring keywords like “last-minute deal” or “promo” helps capture discounts on popular travel routes or hotels.

During major sales events, like Shopee’s 11.11 sale, I capture real-time data on top-selling electronics to see which items receive the most attention.

• I focus on specific categories, like electronics and beauty, where trends often emerge first, to capture early data on popular products.

Monitoring property types, like single-family homes versus condos, reveals differences in market demand based on property type.

• For JavaScript-heavy reviews, I use Selenium in Rust to render pages fully and access dynamically loaded reviews.

• Organizing listings by product condition, such as “new” or “like new,” allows me to focus on high-demand second-hand categories.