I schedule scrapes during sales events, such as Lazada’s “Birthday Sale” or Shopee’s “12.12,” capturing data spikes during peak shopping periods.

• Organizing product data by category allows me to focus on specific segments, like home goods or smartphones, for more targeted analysis.

• Rotating proxies and user-agent strings minimizes the risk of detection, especially when accessing Alibaba’s high-traffic product pages.

• Parsing JSON responses in network requests often reveals structured product details, making it faster to gather specs and prices.

Storing reviews in MySQL enables trend analysis, tracking changes in customer satisfaction over time, especially on popular items.

I organize products by category, focusing on high-demand sections like electronics and fashion, which helps manage the volume of data.

Scheduling scrapes allows me to track price changes over time, particularly during Xiaohongshu’s seasonal promotions.

• Storing data with timestamps enables historical price analysis, helping identify the best times to buy popular items on Pinduoduo.