• Rotating headers and IPs helps avoid detection, as Dangdang monitors for unusual traffic, especially in high-demand sections.

Yahoo Finance’s JSON structure in network requests allows for direct access to detailed data, such as market cap or volume, without parsing HTML.

• Using the site’s API, if available, allows for more efficient monitoring of product additions without excessive page requests.

Storing data in a local SQLite or MySQL database allows for easy querying and analysis, especially when tracking product trends.

• By capturing timestamps, I can track Suning’s frequent sales and discount cycles, helping identify trends in pricing.

• By rotating IP addresses and user-agent headers, I avoid detection, especially when scraping high-demand product categories.

I store auction data in a local SQLite database, making it easy to query and analyze bid histories over time.