# Nordstrom Scraper (`trudax/actor-nordstrom-scraper`) Actor

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

- **URL**: https://apify.com/trudax/actor-nordstrom-scraper.md
- **Developed by:** [Trudax](https://apify.com/trudax) (community)
- **Categories:** E-commerce
- **Stats:** 280 total users, 4 monthly users, 100.0% runs succeeded, 4 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 product result storeds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

### What does Nordstrom Scraper do?

Nordstrom Scraper enables you to extract product data from the [Nordstrom](https://shop.nordstrom.com/) retail website. Scrape and download all product data, including price, description, size, color, and more.

It is built on [Apify SDK](https://sdk.apify.com/) and you can run it on the [Apify platform](https://my.apify.com/).

### How much will it cost to scrape Nordstrom?

Apify gives you $5 free usage credits every month on the Apify **Free plan**. You can get **600 results** per month from Nordstrom Scraper for that, so those 600 results will be completely free!

But if you need to get more data, you should get an Apify subscription. We recommend our $49 monthly **Personal plan** for **6,000 results** every month.

Or get even more results with the **Team plan** for $499 and get **60,000 results** per month!

### 3 tips for using Nordstrom Scraper

- **Tip 1**
  Keep in mind that it is much more efficient to run one longer scrape (at least one minute) than more shorter ones because of the startup time.

- **Tip 2**
  You can use the **extend output function** to update the result output of this actor. This function gets a Cheerio handle `$` as an argument so you can choose what data from the page you want to scrape. The output from this will function will merge with the result output.

The return value of this function has to be an object.

You can return fields to achive 3 different things:

- Add a new field - Return object with a field that is not in the result output
- Change a field - Return an existing field with a new value
- Remove a field - Return an existing field with a value `undefined`

### Need to find product pairs between Nordstrom and another online shop?

Try our [AI Product Matcher](https://apify.com/equidem/ai-product-matcher). This AI model was created to compare items from different web stores, identifying exact matches and comparing real-time data obtained via web scraping. With the AI Product Matcher, you can use scraped product data to monitor product matches across the industry, implement dynamic pricing for your website, replace or complement manual mapping, and obtain realistic estimates against your competition for upcoming promo campaigns.

Most importantly, it is relatively easy to get started with (just follow [this Product Matcher guide](https://blog.apify.com/product-matching-ai-pricing-intelligence-web-scraping/)), and it can check 1,000 pairs of products for just $10.

# Actor input Schema

## `startUrls` (type: `array`):

If you already have URL(s) of page(s) you wish to scrape, you can set them here. <br /><br /><strong>This field is optional, but this field or 'Search' must be provided (or both)</strong>

## `search` (type: `string`):

Here you can provide a search query which will be used to search Nordstrom's products. <br /><br /><strong>This field is optional, but this field or 'Start Nordstrom page URLs' must be provided (or both)</strong>

## `country` (type: `string`):

The selected country will be used to set the currency and shipping country.

## `maxItems` (type: `integer`):

How many search results (eq. products) should be processed

## `getDescription` (type: `boolean`):

If enabled, the product description and sizes will be included in the output (this requires navigating to each product page, which is slower).

## `debugMode` (type: `boolean`):

Display debug messages

## Actor input object example

```json
{
  "search": "Jeans",
  "country": "United States",
  "maxItems": 2,
  "getDescription": false,
  "debugMode": false
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "search": "Jeans",
    "country": "United States",
    "maxItems": 2
};

// Run the Actor and wait for it to finish
const run = await client.actor("trudax/actor-nordstrom-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "search": "Jeans",
    "country": "United States",
    "maxItems": 2,
}

# Run the Actor and wait for it to finish
run = client.actor("trudax/actor-nordstrom-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "search": "Jeans",
  "country": "United States",
  "maxItems": 2
}' |
apify call trudax/actor-nordstrom-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=trudax/actor-nordstrom-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/6aR43uctzkv89eGJy/builds/3ZXw8ZDeg3FCX2HlO/openapi.json