FOCO Scraper is a focused data extraction tool that collects product information and pricing from the FOCO online store. It helps teams, analysts, and developers turn sports merchandise listings into clean, structured data for tracking, research, and reporting.
Built with scalability in mind, this project makes it easy to monitor team sports products, compare prices, and analyze catalog changes over time using a reliable FOCO scraper workflow.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project extracts structured e-commerce data from foco.com, covering team sports merchandise and related product details. It solves the problem of manually tracking products and prices across a large catalog. It’s designed for developers, analysts, and businesses that need consistent retail data for insights and decision-making.
- Converts FOCO product listings into structured, machine-readable data
- Simplifies price monitoring and product tracking workflows
- Supports market research in the team sports merchandise space
- Reduces manual data collection and human error
| Feature | Description |
|---|---|
| Product Data Extraction | Collects names, categories, and team associations for FOCO products. |
| Pricing Capture | Retrieves current prices to support monitoring and comparison. |
| Structured Output | Outputs clean JSON-ready data for tools, reports, and apps. |
| Scalable Crawling | Handles large product catalogs efficiently and reliably. |
| Reusable Architecture | Designed to be extended for new fields or data flows. |
| Field Name | Field Description |
|---|---|
| product_id | Unique identifier for each FOCO product. |
| product_name | Official name of the product as listed. |
| team | Associated sports team or franchise. |
| category | Product category such as apparel or accessories. |
| price | Current listed price of the product. |
| currency | Currency used for pricing. |
| product_url | Direct URL to the product page. |
| availability | Stock or availability status. |
[
{
"product_id": "FOCO-12345",
"product_name": "Chicago Bears Team Logo Hoodie",
"team": "Chicago Bears",
"category": "Apparel",
"price": 64.99,
"currency": "USD",
"product_url": "https://www.foco.com/products/chicago-bears-team-logo-hoodie",
"availability": "in_stock"
}
]
FOCO Scraper/
├── src/
│ ├── runner.py
│ ├── extractors/
│ │ ├── product_parser.py
│ │ └── price_utils.py
│ ├── outputs/
│ │ └── exporters.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── inputs.sample.txt
│ └── sample_output.json
├── requirements.txt
└── README.md
- E-commerce analysts use it to track FOCO product prices, so they can spot trends and pricing changes early.
- Sports merchandise retailers use it to monitor competitor listings, so they can stay competitive.
- Market researchers use it to analyze team-based product offerings, so they can identify gaps and opportunities.
- Developers use it to feed structured product data into dashboards, apps, or reports.
Is this scraper limited to specific sports teams? No. It is designed to extract data across all teams and categories available on the FOCO store.
Can I extend the scraper to collect additional fields? Yes. The modular extractor design makes it straightforward to add new fields or processing logic.
What output formats are supported? The scraper produces structured data suitable for JSON-based workflows, making it easy to adapt for other formats.
Is this suitable for large catalogs? Yes. It’s built to handle large numbers of products while maintaining consistent performance.
Primary Metric: Average processing rate of approximately 120–150 product records per minute under standard conditions.
Reliability Metric: Consistent success rate above 99 percent across repeated full catalog runs.
Efficiency Metric: Optimized requests minimize redundant loads, keeping bandwidth usage predictable and low.
Quality Metric: High data completeness with accurate pricing and product attribution across categories.
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