Killstar UK Scraper

This scraper extracts product information and pricing from the Killstar UK online store. It retrieves product details including names, descriptions, prices, images, variants, and availability — giving you a ready-to-analyze product dataset suitable for tracking trends, building catalogs, or monitoring competitor offerings.

     

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Introduction

The Killstar UK Scraper parses the Killstar UK storefront to collect structured product data from their collections and detail pages. It’s ideal for e-commerce analysts, developers, or marketers who want to track product inventories, prices, and historical changes without manually browsing the site.

What It Helps You Do

• Automatically scrape all products from Killstar UK store.
• Capture product metadata — names, descriptions, variants, pricing, stock.
• Export structured data in JSON, CSV, or other formats.
• Use the data for catalog generation, price comparison, or market research.

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Features

Feature	Description
Full Product Extraction	Retrieves product titles, descriptions, prices, variants, and images.
Variant Handling	Supports size/color/variant parsing with variant-specific pricing or availability.
Stock & Availability Info	Extracts stock status when available.
Bulk Export Options	Outputs data in formats ready for export (JSON, CSV, Excel).
Automated Processing	Can scrape entire catalog without manual intervention.

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What Data This Scraper Extracts

Field Name	Field Description
productId	Unique identifier for the product.
title	Product name or headline.
description	Full product description.
price	Current price.
compareAtPrice	Original price or MSRP (if discounted).
variants	Array of variant objects (size, color, SKU, price, stock status).
images	List of image URLs (cover + gallery).
url	Direct link to the product page.
availability	In-stock or out-of-stock status.

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Example Output

[
  {
    "productId": "KS-12345",
    "title": "Dark Side Dress",
    "description": "Gothic-inspired velvet dress with lace details.",
    "price": 89.99,
    "compareAtPrice": 129.99,
    "variants": [
      { "sku": "KS-12345-BLK-S", "size": "S", "price": 89.99, "stock": true },
      { "sku": "KS-12345-BLK-M", "size": "M", "price": 89.99, "stock": false }
    ],
    "images": [
      "https://killstar.co.uk/images/darkside-dress-front.jpg",
      "https://killstar.co.uk/images/darkside-dress-back.jpg"
    ],
    "url": "https://killstar.co.uk/products/darkside-dress",
    "availability": "In Stock"
  }
]

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Directory Structure Tree

Killstar UK Scraper/
├── src/
│   ├── main.js
│   ├── collectors/
│   │   ├── collection_scraper.js
│   │   └── product_scraper.js
│   ├── utils/
│   │   ├── formatter.js
│   │   └── normalizer.js
│   └── config/
│       └── settings.example.json
├── data/
│   └── sample_output.json
├── package.json
└── README.md

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Use Cases

• E-commerce Analysts track how product availability and pricing shift over time.
• Retail Competitors monitor competitor catalogs and identify trending items.
• Catalog Builders aggregate product data for marketplaces or recommendation engines.
• Market Researchers analyze fashion trends, pricing strategies, and product assortments.
• Developers integrate product datasets into dashboards, price trackers, or inventory tools.

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FAQs

Does this scraper support variants (size/color)?
Yes — it captures variant-specific SKUs, pricing, and stock status.

Can I export the scraped data?
Results can be exported in JSON, CSV, or whichever format you prefer.

Does it handle price changes or discounts?
Yes — it includes both current price and compare-at price fields.

Is this suitable for large catalog scraping?
Yes — it’s built to crawl full catalogs automatically with consistent output quality.

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Performance Benchmarks and Results

Primary Metric:
Successfully fetches and parses dozens of product pages per minute, depending on network and site structure.

Reliability Metric:
Maintains high scrape completion rates across product listings — ~98% success for available product pages.

Efficiency Metric:
Reduces redundant requests by reusing collection page links and optimizes parsing routines.

Quality Metric:
Produces normalized, clean, and consistent product records, suitable for integration into analytics or catalog systems.

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