# Nordstrom Product Bulk Scraper Pro (`hello.datawizards/nordstrom-product-bulk-scraper-pro`) Actor

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.

- **URL**: https://apify.com/hello.datawizards/nordstrom-product-bulk-scraper-pro.md
- **Developed by:** [datawizards](https://apify.com/hello.datawizards) (community)
- **Categories:** Automation, Lead generation, E-commerce
- **Stats:** 26 total users, 2 monthly users, 94.3% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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

### 🛍️ Nordstrom Product Bulk Scraper Pro

Scrape Nordstrom product listings effortlessly with **Nordstrom Product Bulk Scraper Pro**. Extract detailed product data like name, brand, price, ratings, and availability using keyword searches. Perfect for e-commerce analysis, trend tracking, and price comparison.

> ⚠️ **Note:** Use **Apify Proxy** with **Residential group** to ensure reliable scraping and avoid blocks. Running without a proxy may lead to incomplete data.

***

### 🚀 How This Nordstrom Scraper Works

- Rent the **Nordstrom Product Bulk Scraper Pro** for fast access to Nordstrom product data.
- Provide a list of search terms in the **`queries`** field (e.g., `["boots"]`) to target specific products.
- Set **`itemLimit`** to control the number of products retrieved per query.
- Enable **Apify Proxy** under `proxyConfiguration` with Residential group for uninterrupted scraping.
- Receive structured JSON results for analysis or automation.

***

### 🧾 Input Configuration

Sample input configuration:

```json
{
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  },
  "queries": ["boots"]
}
```

***

### 📦 Output Sample

The scraper returns an array of product data, including:

- Search query
- Product ID, name, and style group
- Brand and marketing attributes
- Price and currency
- Average rating and review count
- Colors and inventory details
- Store availability and image URLs

```json
[
  {
    "query": "boots",
    "product_id": 7478027,
    "style_group": "7673745",
    "path_alias": "astor-knee-high-moto-boot-women",
    "name": "Astor Knee High Moto Boot",
    "brand": "Steve Madden",
    "average_rating": 4.1,
    "review_count": 79,
    "colors": "BLACK (001), BROWN (200), BROWN SUED (209), TAUPE SUED (272)",
    "price": 95.98,
    "currency": "USD",
    "inventory_quantity": 136,
    "store_availability_count": 6,
    "front_image_url": "N/A",
    "marketing_attributes": "New Markdown"
  },
  {
    "query": "boots",
    "product_id": 7563475,
    "style_group": "10073763",
    "path_alias": "magnetized-knee-high-boot-women",
    "name": "Magnetized Knee High Boot",
    "brand": "AZALEA WANG",
    "average_rating": 4.7,
    "review_count": 3,
    "colors": "BLACK (001)",
    "price": 59.99,
    "currency": "USD",
    "inventory_quantity": 6,
    "store_availability_count": 0,
    "front_image_url": "N/A",
    "marketing_attributes": "N/A"
  },
  {
    "query": "boots",
    "product_id": 8096545,
    "style_group": "10587659",
    "path_alias": "zamora-knee-high-moto-boot-women",
    "name": "Zamora Knee High Moto Boot",
    "brand": "Candie's",
    "average_rating": 0,
    "review_count": 0,
    "colors": "BLACK (002), BROWN (201)",
    "price": 89.99,
    "currency": "USD",
    "inventory_quantity": 9,
    "store_availability_count": 0,
    "front_image_url": "N/A",
    "marketing_attributes": "New Markdown"
  }
]
```

***

### 📌 Use Cases

- E-commerce competitor analysis
- Fashion trend monitoring
- Price and inventory tracking
- Product review and rating analysis
- Retail market research

***

### 📞 Support

For custom configurations, simplified outputs, or to report issues, contact:

📧 **<hello.datawizard@gmail.com>**\
🔗 [Connect on LinkedIn](https://www.linkedin.com/in/data-wizards-aa8080342)

> 💡 **Tip:** Use subject **“Nordstrom Scraper Support Request”** for faster assistance.

# Actor input Schema

## `queries` (type: `array`):

One or more queries where the crawler will start.

## `itemLimit` (type: `integer`):

Specifies the maximum number of items to process.

## `proxyConfiguration` (type: `object`):

Specifies proxy servers that will be used by the scraper in order to hide its origin.

## Actor input object example

```json
{
  "queries": [
    "bikini"
  ],
  "itemLimit": 10,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# 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 = {
    "queries": [
        "bikini"
    ],
    "itemLimit": 10,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("hello.datawizards/nordstrom-product-bulk-scraper-pro").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 = {
    "queries": ["bikini"],
    "itemLimit": 10,
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("hello.datawizards/nordstrom-product-bulk-scraper-pro").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 '{
  "queries": [
    "bikini"
  ],
  "itemLimit": 10,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call hello.datawizards/nordstrom-product-bulk-scraper-pro --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/VLuclSBM0kNMueQQN/builds/9EuISAga2yBFH8J7j/openapi.json