• Setting up a schedule with Tokio helps me capture daily price changes, revealing fluctuations based on booking time and demand.

• By using proxies for country-specific versions of each platform, I get localized insights into which products are in demand in each country.

Using Puppeteer’s wait functions ensures all page elements, like reviews and specifications, load fully before scraping.

Organizing data by industry or category allows for targeted analysis, especially on bulk items like electronics or machinery.

• Scraping FAQs directly from JSON or AJAX requests, if available, is often faster and more reliable than parsing HTML.

• Organizing data by product type, like phones or smart devices, helps manage Xiaomi’s diverse product catalog.

By rotating headers and IP addresses, I reduce detection risks, especially when scraping high-traffic items with frequent reviews.

By capturing timestamps, I can track price changes over time, revealing seasonal trends and sales patterns.

• Saving data with timestamps enables price trend analysis, which helps identify the best buying times for popular items.

Rotating proxies and user-agent headers in Watir reduce detection risks, as Pinduoduo monitors frequent access closely.