Nike Scraper

An Apify actor that extracts product data from Nike's regional websites. It visits a specified country-specific Nike branch and scrapes all available product listings.

Overview

This tool scrapes Nike's e-commerce site for a given country, collecting detailed product information. A typical dataset takes about 30 minutes to compile and includes data points like pricing, categories, and product specifications.

Key Features

• Data Extraction: Scrapes product name, price, sale price, currency, description, URL, item number (articleNo), and image URL.
• Categorization: Organizes products by division (Men, Women, Kids, Unisex), category (Shoes, Clothing, Accessories), and numerous sport-specific subcategories (e.g., Running, Basketball, Training).
• Regional Support: Can target Nike branches in the United States, Mexico, France, Germany, Italy, Australia, Canada, Spain, United Kingdom, and China.
• Output Formats: Results can be downloaded as JSON, JSONL, XML, CSV, Excel, or HTML.
• Cost-Effective: On the Apify Free plan ($5 monthly credits), you can scrape up to 25,000 items at no cost.

How to Use

1. Sign up for a free account at https://console.apify.com/sign-up.
2. Open the Nike Scraper actor page.
3. Configure the input by selecting a target country (see Input section below).
4. Click "Start" and wait for the run to complete.
5. Download your dataset from the Storage tab in your preferred format.

Input

The actor requires a simple JSON input specifying the Nike country branch to scrape. You can only select one country per run.

{
  "inputCountry": "UNITED KINGDOM"
}

Output

The scraped data is saved as a dataset. Each item is a structured object containing the scraped fields. Below is an example of the output structure.

[
  {
    "company": "NIKE",
    "country": "UNITED KINGDOM",
    "productName": "Nike Sportswear Revolution Jacket",
    "articleNo": "DX2321-258",
    "division": "Women",
    "category": "Clothing",
    "subCategory": "Lifestyle",
    "listPrice": 114.95,
    "salePrice": 68.97,
    "currency": "GBP",
    "description": "The weather isn't always predictable...",
    "url": "https://nike.com/gb/t/sportswear-revolution-jacket..."
  }
]

Use Cases: The data is useful for market research, trend analysis in athleisure, monitoring rare sneakers for resale markets, building notification bots, or competitor price tracking.