A lightweight and reliable scraper designed to extract product information and pricing from the Igloo online store. It helps teams collect structured home and garden data for analysis, tracking, and decision-making using a simple, repeatable workflow.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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Igloo Scraper collects detailed product and pricing data from igloocoolers.com and converts it into structured datasets ready for use. It solves the challenge of manually tracking changing product catalogs and prices across an e-commerce store. This project is ideal for developers, analysts, and businesses working with retail data.
- Extracts structured product data from a large online catalog
- Designed for repeatable and scalable data collection
- Outputs clean data suitable for analytics tools and reports
- Supports pricing research and product monitoring workflows
| Feature | Description |
|---|---|
| Product data extraction | Collects names, categories, and product identifiers. |
| Price tracking | Captures current pricing for comparison and analysis. |
| Structured output | Exports data in machine-readable formats. |
| Catalog coverage | Handles large product collections efficiently. |
| Reusable workflows | Designed for recurring data collection jobs. |
| Field Name | Field Description |
|---|---|
| product_id | Unique identifier of the product. |
| product_name | Display name of the product. |
| category | Product category within the store. |
| price | Current listed price. |
| currency | Currency used for pricing. |
| availability | Stock or availability status. |
| product_url | Direct link to the product page. |
| image_url | Main product image URL. |
[
{
"product_id": "IGL-12345",
"product_name": "Igloo MaxCold Cooler 50 Qt",
"category": "Coolers",
"price": 129.99,
"currency": "USD",
"availability": "In stock",
"product_url": "https://www.igloocoolers.com/products/maxcold-50",
"image_url": "https://cdn.igloocoolers.com/images/maxcold-50.jpg"
}
]
Igloo Scraper/
├── src/
│ ├── main.py
│ ├── scraper/
│ │ ├── product_parser.py
│ │ └── pagination.py
│ ├── exporters/
│ │ └── json_exporter.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── sample_output.json
│ └── inputs.sample.json
├── requirements.txt
└── README.md
- Market analysts use it to track product pricing, so they can identify trends and shifts in the home and garden market.
- E-commerce teams use it to monitor competitor catalogs, so they can adjust pricing strategies confidently.
- Data engineers use it to build retail datasets, so they can power dashboards and internal tools.
- Product researchers use it to analyze assortments, so they can spot gaps and opportunities.
- Consultants use it to gather structured data, so they can deliver insights faster to clients.
Is this scraper suitable for large product catalogs? Yes, it is designed to handle extensive product listings by processing pages incrementally and exporting structured results efficiently.
What output formats are supported? The scraper is optimized for structured formats such as JSON, making it easy to integrate with databases, spreadsheets, or analytics tools.
Can this be used for recurring data collection? Absolutely. The project structure supports repeatable runs, making it practical for ongoing monitoring and tracking.
Does it support price comparison over time? Yes. By running the scraper periodically and storing results, you can compare pricing changes across different time periods.
Primary Metric: Processes an average of 1,000+ products per run with consistent field coverage.
Reliability Metric: Achieves over 98% successful product extraction across tested catalog pages.
Efficiency Metric: Optimized requests and parsing keep resource usage low during extended runs.
Quality Metric: Delivers clean, well-structured datasets with high completeness and minimal missing fields.
"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington
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"Exceptional results, clear communication, and flawless delivery. Syed
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