Nike productInfo Scraper

Introduction

The Nike productInfo Scraper is a powerful tool designed to extract detailed product information from Nike's website. This Actor is ideal for businesses and researchers who need reliable and structured data on Nike products for market analysis, competitive intelligence, and more.

Features

• Comprehensive Data Extraction: Retrieves product titles, prices, descriptions, style codes, images, and colorways.
• High Data Quality: Ensures accurate and up-to-date information directly from Nike's official site.
• Efficient Performance: Optimized for fast and reliable data scraping.
• User-Friendly: Easy to configure and run with minimal setup.
• Versatile Output: Supports multiple formats for data export, including JSON, CSV, and Excel.
• Scalable: Handles multiple URLs simultaneously for large-scale data collection.
• Error Handling: Robust mechanisms to manage and report errors during scraping.

Input Parameters

Parameter	Type	Required	Description	Example
startUrls	array	Yes	URLs to start with.	["https://www.nike.com/t/fff-2026-27-match-away-mens-aero-fit-soccer-authentic-custom-jersey-by-you-fmPWPIJd/NN203939011-CUS"]

Example Usage

Example Input JSON

{
  "startUrls": [
    {
      "url": "https://www.nike.com/t/fff-2026-27-match-away-mens-aero-fit-soccer-authentic-custom-jersey-by-you-fmPWPIJd/NN203939011-CUS"
    }
  ]
}

Example Output JSON

[
  {
    "url": "https://www.nike.com/t/fff-2026-27-match-away-mens-aero-fit-soccer-authentic-custom-jersey-by-you-fmPWPIJd/NN203939011-CUS",
    "title": "FFF 2026/27 Match Away - Men's Nike Aero-FIT Soccer Authentic Custom Jersey By You",
    "price": "$210$210",
    "description": "A new era of breathability has just stepped onto the field. Introducing Nike Aero-FIT technology. It brings lightweight stretch to this authentic FFF jersey, giving you the same extraordinary airflow as the pros.",
    "color": "Igloo",
    "styleCode": "NN203939011-CUS",
    "images": [
      "https://static.nike.com/a/images/t_web_pdp_535_v2/f_auto,u_9ddf04c7-2a9a-4d76-add1-d15af8f0263d,c_scale,fl_relative,w_1.0,h_1.0,fl_layer_apply/59a2f235-b3d6-44ea-a090-139a6be69e37/NIK+SU26+M+MATCH+AUTH+JERSEY.png",
      "https://static.nike.com/a/images/t_web_pdp_936_v2/f_auto,u_9ddf04c7-2a9a-4d76-add1-d15af8f0263d,c_scale,fl_relative,w_1.0,h_1.0,fl_layer_apply/59a2f235-b3d6-44ea-a090-139a6be69e37/NIK+SU26+M+MATCH+AUTH+JERSEY.png"
    ],
    "colorways": [
      {
        "url": "https://www.nike.com/t/fff-2026-27-match-away-mens-aero-fit-soccer-authentic-jersey-fmPWPIJd/IB5200-394",
        "image": "https://static.nike.com/a/images/t_PDP_144_v1/f_auto,q_auto:eco/e3e7c303-fa6d-4ab4-85d5-9e1b1b00ff67/FFF+M+NK+DFADV+JSY+SS+MATCH+AW.png",
        "name": "Igloo/Monarch/Monarch"
      }
    ],
    "availability": "unavailable"
  }
]

Use Cases

• Market Research and Analysis: Gather comprehensive product data for market trends.
• Competitive Intelligence: Monitor competitor offerings and pricing strategies.
• Price Monitoring: Track price changes and promotions over time.
• Content Aggregation: Collect product details for content creation and curation.
• Academic Research: Analyze product data for academic studies and reports.
• Business Automation: Automate data collection for business intelligence systems.

Installation and Usage

1. Search for "Nike productInfo Scraper" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters.
4. Click "Start" to begin extraction.
5. Monitor progress in the log.
6. Export results in your preferred format (JSON, CSV, Excel).

Output Format

The output is a JSON array where each object contains:

• url: The product page URL.
• title: The product title.
• price: The product price.
• description: A brief description of the product.
• color: The primary color of the product.
• styleCode: The product's style code.
• images: An array of image URLs.
• colorways: An array of available color variations with URLs and images.
• availability: The availability status of the product.

Support

For custom/simplified outputs or bug reports, please contact:

• Email: support@getdataforme.com
• Subject line: "custom support"
• Contact form: https://getdataforme.com/contact/

We're here to help you get the most out of this Actor!