This scraper extracts detailed product information from NOBULL’s online store, turning their Shopify-powered catalog into clean, export-ready data. It’s ideal for analysts, e-commerce teams, researchers, and automation workflows that need accurate product, pricing, and variant data in the footwear category.

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The NOBULL Scraper acts like an API for nobullproject.com, collecting complete product listings and pricing information. It structures the data for easy export into spreadsheets, reports, dashboards, or pipelines. With its Shopify foundation, extraction is consistent, predictable, and fast.

• Helps you track pricing, discounts, inventory, and new product releases.
• Supports competitive research and footwear market analysis.
• Turns a Shopify storefront into structured datasets you can query and automate.
• Enables recurring monitoring without manual browsing.

[
  {
    "productId": "nb-849230",
    "title": "NOBULL Trainer",
    "description": "Durable, versatile footwear designed for training.",
    "price": 129,
    "compareAtPrice": null,
    "variants": [
      {
        "name": "Men's 10",
        "sku": "NB-849230-10",
        "price": 129,
        "availability": "In Stock"
      },
      {
        "name": "Men's 11",
        "sku": "NB-849230-11",
        "price": 129,
        "availability": "Out of Stock"
      }
    ],
    "images": [
      "https://nobullproject.com/products/nobull-trainer-1.jpg"
    ],
    "url": "https://nobullproject.com/products/nobull-trainer",
    "category": "Training Shoes",
    "availability": "Mixed"
  }
]

NOBULL Scraper/
├── src/
│   ├── main.js
│   ├── collectors/
│   │   ├── product_list_scraper.js
│   │   ├── product_detail_scraper.js
│   │   └── shopify_parser.js
│   ├── utils/
│   │   ├── formatter.js
│   │   └── normalizer.js
│   └── config/
│       └── settings.example.json
├── data/
│   ├── sample_input.json
│   └── sample_output.json
├── package.json
└── README.md

• E-commerce Analysts monitor pricing, discounts, and inventory shifts.
• Competitor Research Teams benchmark footwear offerings against other brands.
• Product Databases ingest structured product catalogs for marketplaces or aggregators.
• Marketing & Insights Teams track product launches and seasonal changes.
• Automation Engineers integrate recurring scraping into pricing or research pipelines.

Is the scraper limited to footwear?
It extracts any product on the site but is primarily targeted at footwear categories.

Can I export the results in multiple formats?
Yes—JSON, CSV, Excel, XML, and HTML are supported.

Does it extract variant-level data?
Yes, including SKUs, stock, price, and size/color attributes.

How often can I run it?
As frequently as needed; usage determines platform cost.

Primary Metric:
Able to process dozens of product pages per minute using structured Shopify endpoints.

Reliability Metric:
Maintains >98% extraction success across product and collection pages.

Efficiency Metric:
Minimizes redundant calls by leveraging collection handles and shared data objects.

Quality Metric:
Outputs normalized, high-fidelity product datasets ideal for analytics or automation tools.

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