Nike Product Scraper

What does it do?

Nike Product Scraper extracts product listings from Nike.com, the global leader in athletic footwear and apparel. It scrapes by category and gender, collecting detailed product information including shoe names, full and sale prices, style codes, colorways, star ratings, and category classifications. The scraper handles pagination automatically and supports filtering by gender and product category to target exactly the inventory data you need.

Why use this scraper?

Nike.com is the primary sales channel for one of the most valuable consumer brands in the world. This scraper enables sneaker market research, price tracking for resale arbitrage, sale and discount monitoring, product catalog analysis, and competitive footwear intelligence. Whether you are tracking Air Jordan release pricing, monitoring Nike sales events for the best deals, analyzing product line breadth across categories, or building a sneaker price database for resale platforms, this tool provides structured data at scale.

How to use

1. Navigate to the Nike Product Scraper on Apify.
2. Select your desired product categories in the input configuration.
3. Choose the gender filter for products (men, women, unisex, or kids).
4. Set the maximum number of results per category.
5. Click "Start" to begin scraping.

Use the Apify API for automated workflows, scheduled runs, and integration with your sneaker tracking or ecommerce analytics tools.

Input configuration

Parameter	Type	Description
categories	Array	Nike categories to scrape (default: running, basketball, lifestyle)
gender	String	Gender filter - men, women, unisex, or kids (default: men)
maxResults	Integer	Maximum products per category (default: 100)
proxyConfig	Object	Proxy settings for the scraper

Output data

The scraper outputs a dataset with the following fields:

{
  "name": "Nike Air Zoom Pegasus 41",
  "subtitle": "Men's Road Running Shoes",
  "price": "$140.00",
  "salePrice": "$111.97",
  "styleCode": "FD2722-001",
  "colorway": "Black/White/Anthracite",
  "rating": 4.5,
  "onSale": true,
  "category": "running",
  "gender": "men",
  "url": "https://www.nike.com/t/air-zoom-pegasus-41-road-running-shoes/FD2722",
  "scrapedAt": "2026-02-19T10:00:00.000Z"
}

Cost of usage

This scraper uses Cheerio for fast, lightweight HTML parsing. Approximate cost is $0.75 per 1,000 products scraped with Apify proxy. Actual costs depend on the number of categories and pagination depth. The lightweight Cheerio-based architecture ensures fast execution and minimal compute resource consumption.

Tips

• Use specific categories like "running" or "basketball" for targeted product data collection.
• Track sale prices over time to identify seasonal discount patterns and clearance events.
• Use style codes to track specific shoe models across colorways and releases.
• Schedule runs before and during major Nike sales events for price monitoring.
• Compare Nike direct pricing with third-party retailer prices for arbitrage research.
• Filter by gender to build focused datasets for specific market segments.
• Export data to spreadsheets for sneaker market analysis and trend identification.

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Built with Crawlee and Apify SDK. See more scrapers by consummate_mandala on Apify Store.