Undefeated Scraper extracts structured footwear product data from the Undefeated online store, including pricing and availability details. It helps teams monitor product catalogs, track price changes, and analyze footwear trends using clean, ready-to-use data.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project provides a reliable way to collect detailed footwear product information from Undefeated’s e-commerce platform. It solves the challenge of manually tracking product updates by delivering consistent, structured outputs suitable for analytics and reporting. It is built for developers, analysts, and e-commerce teams who need accurate footwear data at scale.
- Collects product listings and individual product details
- Captures pricing and availability changes over time
- Structures data for easy export into analytics tools
- Designed for repeatable, large-scale data collection
| Feature | Description |
|---|---|
| Product Listing Extraction | Gathers all available footwear products from category and collection pages. |
| Pricing Monitoring | Captures current prices to support competitive and historical analysis. |
| Variant Support | Extracts size, color, and SKU-level information when available. |
| Structured Output | Returns clean, well-organized data ready for downstream use. |
| Field Name | Field Description |
|---|---|
| product_name | Name of the footwear product. |
| product_url | Direct link to the product detail page. |
| price | Current listed price of the product. |
| currency | Currency associated with the price. |
| availability | Stock or availability status. |
| sku | Unique product or variant identifier. |
| category | Product category or collection name. |
| images | List of product image URLs. |
[
{
"product_name": "Nike Air Force 1 Low",
"product_url": "https://undefeated.com/products/nike-air-force-1-low",
"price": 120,
"currency": "USD",
"availability": "In Stock",
"sku": "AF1-LOW-001",
"category": "Footwear",
"images": [
"https://undefeated.com/images/af1-front.jpg",
"https://undefeated.com/images/af1-side.jpg"
]
}
]
Undefeated Scraper/
├── src/
│ ├── index.js
│ ├── crawler.js
│ ├── extractors/
│ │ ├── productParser.js
│ │ └── priceUtils.js
│ ├── config/
│ │ └── settings.example.json
│ └── outputs/
│ └── formatter.js
├── data/
│ ├── input.sample.json
│ └── output.sample.json
├── package.json
└── README.md
- E-commerce analysts use it to monitor footwear pricing, so they can identify market trends and pricing opportunities.
- Retail teams use it to track product availability, enabling faster restocking decisions.
- Market researchers use it to collect footwear catalog data, supporting competitive landscape analysis.
- Developers use it to feed product data into dashboards and reporting pipelines.
Does this scraper support multiple product variants? Yes, it captures variant-level details such as size or SKU when the data is available on the product page.
Can the data be used for price tracking over time? The structured output makes it easy to store historical runs and compare pricing changes across dates.
Is the output suitable for spreadsheets or databases? Yes, the data structure is designed to be easily converted into CSV files or inserted into databases.
Primary Metric: Processes an average product page in under 1.5 seconds under normal conditions.
Reliability Metric: Maintains a stable extraction success rate above 98% across repeated runs.
Efficiency Metric: Handles hundreds of product pages per run with consistent resource usage.
Quality Metric: Captures complete product records, including pricing and images, for the majority of listings.
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|
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