Windsor Fashions Scraper is a data extraction tool that collects structured product information from the Windsor Fashions online store. It helps businesses and analysts turn women's fashion listings into actionable data for research, tracking, and decision-making.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project extracts detailed product data from Windsor Fashions, focusing on women's clothing categories available on the official online store. It solves the problem of manually tracking product changes, pricing updates, and catalog structure across a fast-moving fashion inventory. It is built for e-commerce analysts, marketers, researchers, and developers who need clean, structured fashion data.
- Collects structured product listings from a large fashion catalog
- Standardizes data for analysis, reporting, and integrations
- Supports monitoring of product changes over time
- Designed for scalable fashion data workflows
- Optimized for structured outputs usable across tools
| Feature | Description |
|---|---|
| Product Catalog Extraction | Retrieves structured product listings from women's clothing categories. |
| Detailed Product Metadata | Captures titles, descriptions, images, variants, and availability. |
| Pricing & Variant Tracking | Extracts pricing and size/color variant information per product. |
| Structured Output Formats | Outputs clean, machine-readable data for analytics pipelines. |
| Scalable Crawling Logic | Handles large catalogs with consistent performance. |
| Field Name | Field Description |
|---|---|
| product_id | Unique identifier for each product listing. |
| product_name | Name/title of the clothing item. |
| product_url | Direct URL to the product page. |
| category | Product category or collection name. |
| price | Current listed price of the product. |
| currency | Currency used for the price value. |
| images | Array of product image URLs. |
| variants | Available sizes, colors, or styles. |
| availability | Stock status of the product. |
| description | Full textual product description. |
windsor-fashions-scraper (IMPORTANT :!! always keep this name as the name of the apify actor !!! Windsor Fashions Scraper )/
├── src/
│ ├── runner.py
│ ├── extractors/
│ │ ├── product_parser.py
│ │ └── variant_parser.py
│ ├── utils/
│ │ ├── http_client.py
│ │ └── normalizers.py
│ ├── outputs/
│ │ └── exporter.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── sample_input.json
│ └── sample_output.json
├── requirements.txt
└── README.md
- E-commerce analysts use it to monitor Windsor Fashions products so they can track catalog and pricing trends.
- Market researchers use it to analyze women's clothing assortments to identify gaps and opportunities.
- Brand managers use it to compare competing fashion products and positioning.
- Data teams use it to feed fashion datasets into dashboards and analytics tools.
- Retail strategists use it to support assortment planning and demand analysis.
Does this scraper support all Windsor Fashions categories? Yes, it is designed to extract products across multiple women's clothing categories available on the store.
Can the extracted data be used in spreadsheets or BI tools? Yes, the structured output is suitable for spreadsheets, databases, and analytics platforms.
How does it handle product variants like size and color? Variants are extracted per product and normalized into structured fields for easy analysis.
Is this suitable for ongoing catalog monitoring? Yes, it is built to support repeated runs for tracking changes over time.
Primary Metric: Processes several hundred product listings per minute under standard catalog conditions.
Reliability Metric: Maintains a high successful extraction rate across repeated catalog scans.
Efficiency Metric: Optimized requests and parsing logic reduce unnecessary resource usage.
Quality Metric: High data completeness with consistent capture of pricing, variants, and metadata.
"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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