Scrape Nordstrom Products Data – Nordstrom Product Data Extraction Services

Extract Nordstrom product data like ratings, descriptions, specifications, pricing, and product details with iWeb Data Scraping. Download extracted data into multiple formats such as JSON, CSV, and Excel.


About Nordstrom

Nordstrom is a retail business in America that deals explicitly in all product ranges. The company deals in products like shoes, clothes, jewelry, cosmetics, handbags, and fragrances. There are around 40 stores in each state of the USA, serving about 90 countries. As of 2018, Nordstrom has 194 trademarks. As of 2020, its annual revenue is approximately $10.4 Billion.

Scrape Nordstrom Data

Scraping Nordstrom products gives you details on a list of several retail stores. The scraped information is accurate and valuable, allowing users to scrape Nordstrom product data from us. Our scraping details include product purchases, consumers, purchasing behavior, the amount spent, the number of items, etc.


Data Fields

At iWeb Data Scraping, we scrape the following data fields from Nordstrom

  • Store ID
  • Number of Fields
  • Store Name
  • Store Address
  • Street
  • Store City
  • Product Provider
  • Product Ratings
  • Product Availability
  • SKU Number
  • Actual Discount
  • Product Description

Use Cases


Scrape Product Data from Nordstrom

Getting images and product descriptions from multiple manufacturers could be a challenging task. Get complete and accurate insights on product details, descriptions, pricing, and images from Nordstrom with iWeb Data Scraping. We ensure to scrape data that are upload-ready.


Automates Competitor’s Monitoring Process

Easily prepare your strategies by continuously monitoring your competitors. With our exceptional service, you easily check product accessibility, promotions, special offers, and deals provided by competitors on similar products you are providing.


Scrape Product Data through Listing

We can scrape data from particular listing pages, including “best seller”, or via keyword search. We help you scrape unlimited product data by category, subcategory, only refurbished, highest reviews, brands, etc.


Scrape Product Questions & Answers

We help you get assistance across multiple business verticals, including the recruitment industry, retail, maximum ratings, and reviews. Identify strengths and weaknesses of products, features, deliveries, etc., with our scraping services. Analyze customers’ questions and competitors’ answers on a particular product.



We use rotated proxy IP addresses to avoid getting blocked.


Our scraping solution can capture massive data.


Upto date to cope with changes in the market whenever needed


Secured algorithms and set up to avoid data loss


5x faster than conventional data scrapers

Translation Capabilities

Our data scrapers can capture data from any language and give output in an asked language like English.



We have developed a long-term connection between our business team and potential customers.


Our business team consulted potential customers by exchanging expert advice and required information.


Our team analyzes and identifies the business needs of potential customers.


Once potential customers confirm the demand with our team, we start executing the process after getting the basic needs for the project.


After compiling the data, our team smoothly hands it over to the customer.

Exceed Expectation

We Build long-term bonding with our clients by serving them and exceeding their expectations.

Why Choose iWeb Data Scraping?

Unlimited Data Serving

Our company has no threshold for serving a particular number of requests or extracting specific data fields.

Fully Tailored

We extract the data as per the client's requirement at all stages.

No More Blockages

We use proxy IP addresses and random delays between two requests with the capability to solve the captcha in real-time.

Master in Domain

We are proud to serve more than 300+ clients within two years with our expert team.

Assured Quality

We are fully devoted to working on Quality and consistency to deliver the best.

Frequently Asked Questions

Web scraping is possible in multiple languages like PHP, .Net, HTML, Java, CSS, and Python. We generally use python as a core language, but we also use other languages as per customer demand.

We don't deal with adult sites, financial sites which include personal data of the audience like credit card and bank details, and platforms having high levels of sensitive data for security reasons.

Yes, definitely. You can hire us as your dedicated web data scraper team if your requirements are in bulk with regular scraping frequency. That team will handle complete end-to-end operations involved in data extraction, like code development, monitoring, quality assurance, maintenance, data delivery, and many more.

If you can provide us with the account registered on the targeted website to extract the data shown behind your login, we can scrape the data as usual. However, there are restrictions.

It is not required; we do the data extraction entirely on our cloud servers. You must provide us with the websites and data fields you want to scrape.

Yes, our scrapers are scalable enough to handle large quantities of data with decided frequency.

We usually submit the data in usable formats like CSV, Excel, XML, and JSON files.

We use rotational proxy IP addresses so that IP addresses don't send scrape requests again.

Yes, we respect maintaining privacy and security with our clients. So we do sign a Non-Disclosure Agreement.

Yes, we have a dedicated team to support our customers with technical issues when they operate on their end.

Let’s Talk About Product

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