ShopWSS.com Scraper

This project extracts structured product data from ShopWSS.com, covering shoes, clothing, and accessories in one consistent format. It helps teams collect rich retail catalog data without relying on limited or unavailable public APIs. Built for speed and scale, it turns complex storefront pages into clean, usable datasets.

     

Created by Bitbash, built to showcase our approach to Scraping and Automation!
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Introduction

The ShopWSS.com Scraper is designed to collect detailed product information from a large online footwear and apparel retailer. It solves the problem of manually gathering or maintaining product catalogs by automating data extraction at scale. This tool is ideal for developers, data teams, and ecommerce analysts who need reliable product-level data.

Why this scraper exists

• ShopWSS does not offer a public, free product API
• Product listings span collections, search results, and detail pages
• Manual catalog tracking is time-consuming and error-prone
• Structured data is required for analytics, syncing, or research

Features

Feature	Description
Collection crawling	Extracts all products from category and collection pages.
Search-based extraction	Retrieves products using keyword-driven search results.
Full product details	Captures descriptions, images, variants, options, and availability.
Variant-level data	Includes size, color, pricing, stock, and SKU per variant.
Pagination control	Scrape specific page ranges or limit total items collected.
Extensible output	Supports custom mapping and transformation of extracted data.

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What Data This Scraper Extracts

Field Name	Field Description
id	Unique product identifier.
url	Direct link to the product page.
title	Product title or name.
description	Plain-text product description.
descriptionHTML	Rich HTML description content.
vendor	Brand or manufacturer name.
availableForSale	Indicates if the product can be purchased.
collections	Categories and collections the product belongs to.
tags	Product tags and labels.
variants	Variant-level pricing, stock, SKU, size, and color data.
images	Product image URLs with dimensions.
options	Available option types such as size and color.
createdAt	Product creation timestamp.
updatedAt	Last update timestamp.

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Example Output

[
  {
    "type": "product",
    "url": "https://www.shopwss.com/products/a03061c",
    "slug": "a03061c",
    "vendor": "CONVERSE",
    "availableForSale": true,
    "quantity": 182,
    "tags": ["Classic", "CONVERSE", "on-sale", "Womens"],
    "variants": [
      {
        "sku": "11155400021",
        "price": "69.98",
        "availableQuantity": 39,
        "options": {
          "Size": "06.0",
          "Color": "Squirrel Friend/Black/White"
        }
      }
    ],
    "images": [
      "https://cdn.shopify.com/s/files/1/0069/3442/9751/products/A03061C_1.jpg"
    ]
  }
]

---

Directory Structure Tree

ShopWSS.com Scraper/
├── src/
│   ├── index.js
│   ├── crawler/
│   │   ├── productCrawler.js
│   │   ├── collectionCrawler.js
│   │   └── searchCrawler.js
│   ├── parsers/
│   │   ├── productParser.js
│   │   └── variantParser.js
│   ├── utils/
│   │   ├── pagination.js
│   │   └── helpers.js
│   └── config/
│       └── settings.example.json
├── data/
│   ├── sample-input.json
│   └── sample-output.json
├── package.json
├── package-lock.json
└── README.md

---

Use Cases

• Ecommerce analysts use it to monitor product availability and pricing, so they can track trends and stock changes.
• Developers use it to sync external catalogs into internal systems, so data stays consistent across platforms.
• Market researchers use it to analyze brand presence and assortment, so they can make informed decisions.
• Retail aggregators use it to build comparison tools, so users can evaluate products across stores.
• Data teams use it to generate datasets for reporting and modeling, so insights are based on real inventory data.

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FAQs

What types of pages are supported? The scraper supports collection pages, keyword search results, and individual product detail pages. Each page type is handled with dedicated logic for accuracy.

Can I limit how much data is collected? Yes. You can restrict scraping by page range or maximum item count, which is useful for testing or targeted extraction.

Does it handle product variants correctly? Each variant is captured individually, including size, color, price, stock availability, and SKU, ensuring variant-level precision.

Is proxy usage required? Yes. Using a proxy is recommended to maintain stability and avoid request blocking during large-scale runs.

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Performance Benchmarks and Results

Primary Metric: Processes roughly 100 product listings in about 2 minutes under normal conditions.

Reliability Metric: Maintains a high completion rate when run with stable proxy routing and valid inputs.

Efficiency Metric: Optimized request flow minimizes redundant page loads, keeping resource usage low.

Quality Metric: Extracted records consistently include complete product, variant, and image data with minimal missing fields.

"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington Marketer ★★★★★

"Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on." Eliza SEO Affiliate Expert ★★★★★

"Exceptional results, clear communication, and flawless delivery. Bitbash nailed it." Syed Digital Strategist ★★★★★