Pricing

$25.00/month + usage

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Nordstrom Product Bulk Scraper Pro

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Developed by

datawizards

Nordstrom Product Bulk Scraper Pro: Easily scrape Nordstrom product listings by keyword. Extract details like name, brand, price, ratings, and stock. Ideal for e-commerce analysis and trend tracking. Use Apify Proxy with Residential group for reliable JSON results. Perfect for market research.

0.0 (0)

Pricing

$25.00/month + usage

Total users

Monthly users

Runs succeeded

>99%

Last modified

25 days ago

Automation

Lead generation

E-commerce

You can access the Nordstrom Product Bulk Scraper Pro programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

$echo '{
<  "queries": [
<    "bikini"
<  ],
<  "itemLimit": 10,
<  "proxyConfiguration": {
<    "useApifyProxy": true
<  }
<}' |
<apify call hello.datawizard-owner/nordstrom-product-bulk-scraper-pro --silent --output-dataset

Nordstrom Product Bulk Scraper Pro API through CLI

The Apify CLI is the official tool that allows you to use Nordstrom Product Bulk Scraper Pro locally, providing convenience functions and automatic retries on errors.

Install the Apify CLI

$npm i -g apify-cli
$apify login

Other API clients include:

Nordstrom Product Bulk Scraper Pro API in Python

Nordstrom Product Bulk Scraper Pro API in JavaScript

Nordstrom Product Bulk Scraper Pro OpenAPI definition

Nordstrom Product Bulk Scraper Pro API

Nordstrom Scraper

runtime/nordstrom-scraper

Nordstrom Scraper is an Apify Actor that scrapes product data from Nordstrom’s search results pages. It extracts key product details such as title, brand, image URL, current price, and previous price.

Runtime

5.0

Nordstrom Scraper

trudax/actor-nordstrom-scraper

Nordstrom web scraper to crawl product information including price and sale price, color, and images. Extract all data in a dataset in multiple formats.

Gustavo Rudiger

217

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