How do I scrape JD.com’s product prices and availability with Node.js?

[Meztli Karel]

Axios or Fetch allows direct access to JSON responses, especially if network requests reveal structured product data.

[Hildoara Merida]

• Rotating IPs helps avoid detection, particularly when scraping popular product categories like appliances or electronics.

[Iris Prudence]

By saving price data with timestamps, I track price trends, which is useful for monitoring flash sales and seasonal discounts on JD.com.

[Heide Bhumi]

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

[Gauti Kausalya]

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

[Paula Mirjam]

• Node.js’s asynchronous capabilities help manage multiple requests concurrently, reducing overall scraping time.

[Maria Unity]

• Exporting data to MongoDB enables fast data retrieval for analyzing high-demand products on JD.com’s various sections.