• Organizing reviews by rating level provides insights into customer sentiment, allowing me to identify high-quality products.

Rotating proxies and varying user-agent headers reduce detection risks, as Taobao has strict anti-scraping mechanisms.

Using the Requests library, I check for JSON data in network responses, as Xiaohongshu often provides structured data for products.

• By scheduling scrapes, I capture daily price fluctuations, which is useful for tracking seasonal and promotional discounts.

For JavaScript-heavy pages, Selenium with Java enables full page rendering, capturing dynamic elements like prices and stock status.

For text-heavy reviews, NLP tools like VADER or TextBlob allow me to analyze sentiment and categorize feedback.

• Maintaining records of previously scraped data helps me identify changes in products, pricing, and inventory over time.