Nordstrom, Inc. is a leading fashion retailer offering compelling clothing, shoes and accessories for men, women and kids. Since 1901, Nordstrom has been committed to providing their customers with the best possible service—and to improving it every day.

Our Nordstrom Crawler extracts product listings data at near real-time frequency to help customers like brand owners and research analyst monitor products or brands they care about. Nordstrom is a complicated site to work with, there might be people extacting the Nordstrom data with toolls like selenium/puppeteer/playwright or any other web driver related automation tools. But scraping with those kind of tools is really a bad idea and is extremely unfriendly to the target site, this is why:

1.Selenium/Puppeteer/playwright opens up a real browser(either headless or non-headless) to load the webpage, once page load could mean 10 -100 web requests generated behing the scene. However, out of those 10-100 requests, only 1 or 2 of them returns the data you really need. The rest traffic is either images or js rendering code or 3rd party api calls. 2.With our approach, we harvest the data 10-100 times more efficient than using selnium/puppeteer/playwright, and also the web traffic generated is quite minimal.

3.Selenium/Puppeteer/playwright are big computing resource eaters!! It can easily eatup your cpu and memory and threfore significantly compromising the performance of your crawlers.

By tracking tens of thousands of skus on Nordstrom.com, customers can get a clear picture of what brands are listed on the fasion sites and what are the best sellers on the platform. The chart below shows a visual comparison of the sku count listed by different product brands.