A robust data extraction tool designed to collect product information and pricing from the Skinnydip London online store. It helps businesses and analysts turn raw storefront data into actionable insights for smarter decisions in the mobile and wireless accessories market.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
If you are looking for skinnydip-london-scraper you've just found your team — Let’s Chat. 👆👆
This project extracts structured product and pricing data from Skinnydip London’s e-commerce catalog. It solves the challenge of manually tracking products, prices, and availability across a fast-changing store. It’s built for developers, analysts, and e-commerce teams who need reliable, reusable product data.
- Collects up-to-date product listings from a single source of truth
- Normalizes product attributes into structured datasets
- Supports repeatable runs for trend and price analysis
- Designed for scalability as product catalogs grow
| Feature | Description |
|---|---|
| Product Extraction | Retrieves detailed product information from category and product pages. |
| Price Monitoring | Captures current prices to support tracking and comparison. |
| Structured Output | Delivers clean, structured data ready for analysis or integration. |
| Scalable Crawling | Handles small to large catalogs efficiently. |
| Repeatable Runs | Enables consistent data refresh for ongoing monitoring. |
| Field Name | Field Description |
|---|---|
| product_id | Unique identifier for the product. |
| name | Product title as listed in the store. |
| price | Current listed price of the product. |
| currency | Currency used for pricing. |
| category | Product category or collection. |
| availability | Stock or availability status. |
| product_url | Direct URL to the product page. |
| image_urls | List of product image links. |
| description | Product description text. |
[
{
"product_id": "SD-10231",
"name": "Wireless Phone Case",
"price": 18.99,
"currency": "GBP",
"category": "Mobile Accessories",
"availability": "In Stock",
"product_url": "https://skinnnydiplondon.com/products/wireless-phone-case",
"image_urls": [
"https://skinnnydiplondon.com/images/phone-case-1.jpg"
],
"description": "Stylish protective case designed for everyday use."
}
]
Skinnydip London Scraper/
├── src/
│ ├── main.py
│ ├── crawler.py
│ ├── parsers/
│ │ ├── product_parser.py
│ │ └── category_parser.py
│ ├── utils/
│ │ └── helpers.py
│ └── config/
│ └── settings.json
├── data/
│ ├── input_urls.txt
│ └── sample_output.json
├── requirements.txt
└── README.md
- E-commerce analysts use it to monitor product prices, so they can identify trends and pricing opportunities.
- Market researchers use it to gather catalog data, so they can analyze category performance.
- Developers use it to feed product data into dashboards, so teams get real-time visibility.
- Retail strategists use it to compare offerings, so they can refine competitive positioning.
Can this handle large product catalogs? Yes, the scraper is structured to scale efficiently with growing numbers of products and categories.
Is the data suitable for analytics tools? The output is structured and clean, making it easy to import into spreadsheets, databases, or BI tools.
Can it be run repeatedly for updates? Absolutely. It’s designed for repeat runs to support ongoing monitoring and analysis.
Primary Metric: Average extraction speed of several hundred products per minute under normal conditions.
Reliability Metric: Consistent success rate across repeated runs with stable parsing accuracy.
Efficiency Metric: Optimized requests minimize unnecessary processing and resource usage.
Quality Metric: High data completeness with consistent field coverage across products.
"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington
|
"Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on." Eliza
|
"Exceptional results, clear communication, and flawless delivery. Syed
|