Hunter Fan Scraper helps you collect structured product and pricing data from the Hunter Fan online store with consistency and accuracy. It solves the challenge of tracking HVAC and climate control products at scale and turns raw product pages into usable data for analysis and decision-making.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project is designed to extract detailed e-commerce information related to Hunter Fan products, including pricing and product attributes. It addresses the problem of manual product tracking and inconsistent data collection. It’s built for developers, analysts, and businesses that need reliable HVAC and climate control product data.
- Collects structured product and pricing information from a single source
- Outputs data in formats ready for analysis or integration
- Supports repeatable runs for ongoing product monitoring
- Focuses on HVAC and climate control product categories
| Feature | Description |
|---|---|
| Product data extraction | Collects detailed product information from individual listings. |
| Pricing tracking | Captures current prices for comparison and monitoring. |
| Structured output | Delivers clean, machine-readable data for easy reuse. |
| Scalable runs | Designed to handle multiple products efficiently. |
| Field Name | Field Description |
|---|---|
| product_name | Name of the Hunter Fan product. |
| product_url | Direct link to the product page. |
| price | Current listed price of the product. |
| sku | Product SKU or identifier. |
| category | Product category within HVAC or climate control. |
| availability | Stock or availability status. |
| description | Short product description or summary. |
[
{
"product_name": "Hunter Ceiling Fan Model X",
"product_url": "https://www.hunterfan.com/products/model-x",
"price": 249.99,
"sku": "HF-CEIL-X",
"category": "Ceiling Fans",
"availability": "In Stock",
"description": "Modern ceiling fan with integrated LED lighting."
}
]
Hunter Fan Scraper/
├── src/
│ ├── main.py
│ ├── scraper/
│ │ ├── product_parser.py
│ │ └── price_extractor.py
│ ├── utils/
│ │ └── http_client.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── samples/
│ │ └── output.sample.json
│ └── inputs.txt
├── requirements.txt
└── README.md
- E-commerce analysts use it to track Hunter Fan product pricing, so they can monitor market changes.
- HVAC retailers use it to compare products, so they can adjust pricing strategies.
- Market researchers use it to gather product data, so they can identify trends and gaps.
- Developers use it to feed applications with fresh product data, so integrations stay up to date.
Is this scraper limited to specific product categories? It focuses on HVAC and climate control products but can be extended to other categories listed on the site.
What formats does the output support? The scraper produces structured JSON data that can be easily converted to CSV or other formats.
Can it be used for repeated data collection? Yes, it’s suitable for recurring runs to track price or product changes over time.
Does it handle large product catalogs? It’s designed to scale across multiple product listings with stable performance.
Primary Metric: Average extraction speed of 40–60 product pages per minute under normal conditions.
Reliability Metric: Maintains a successful data retrieval rate above 97% across repeated runs.
Efficiency Metric: Optimized requests minimize bandwidth usage while maintaining throughput.
Quality Metric: Data completeness consistently exceeds 98% for core product fields.
"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington
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