Vanquish Fitness Scraper

A focused web scraping tool designed to collect product details and pricing from the Vanquish Fitness online store. It helps teams turn raw e-commerce pages into structured, usable data for analysis, tracking, and decision-making.

     

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Introduction

The Vanquish Fitness Scraper extracts structured product and pricing data from the Vanquish Fitness storefront. It solves the problem of manually tracking apparel listings, price changes, and catalog updates across a fast-moving e-commerce site. This project is built for developers, analysts, and growth teams who need reliable athletic apparel data at scale.

E-commerce Product Intelligence

• Targets Shopify-based product pages with consistent data extraction
• Converts unstructured product pages into clean, machine-readable data
• Supports repeatable data collection for ongoing monitoring
• Designed to integrate easily with analytics tools and workflows

Features

Feature	Description
Product catalog scraping	Collects complete product listings from the store.
Price tracking	Extracts current prices to support monitoring and comparison.
Structured output	Delivers clean, structured data ready for analysis.
Scalable execution	Designed to handle frequent and repeat runs efficiently.
Shopify compatibility	Works smoothly with Shopify-based store structures.

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What Data This Scraper Extracts

Field Name	Field Description
product_name	The name of the athletic apparel item.
product_url	Direct URL to the product page.
price	Current listed price of the product.
currency	Currency in which the price is displayed.
availability	Stock availability status.
category	Product category or collection.
images	URLs of product images.
description	Text description of the product.

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Example Output

[
  {
    "product_name": "Vanquish Core Training Tee",
    "product_url": "https://vqfit.com/products/core-training-tee",
    "price": 45.00,
    "currency": "USD",
    "availability": "In stock",
    "category": "Men / Training Tops",
    "images": [
      "https://vqfit.com/images/core-tee-front.jpg",
      "https://vqfit.com/images/core-tee-back.jpg"
    ],
    "description": "Lightweight performance training t-shirt designed for intense workouts."
  }
]

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Directory Structure Tree

Vanquish Fitness Scraper/
├── src/
│   ├── runner.py
│   ├── extractors/
│   │   ├── product_parser.py
│   │   └── price_parser.py
│   ├── outputs/
│   │   └── exporter.py
│   └── config/
│       └── settings.example.json
├── data/
│   ├── inputs.sample.json
│   └── outputs.sample.json
├── requirements.txt
└── README.md

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Use Cases

• E-commerce analysts use it to monitor product pricing, so they can identify trends and competitive gaps.
• Retail researchers use it to collect catalog data, so they can perform market and assortment analysis.
• Growth teams use it to track new product launches, so they can react faster to market changes.
• Developers use it to feed structured data into dashboards, so reporting becomes automated and reliable.

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FAQs

Is this scraper limited to Vanquish Fitness only? Yes, it is tailored specifically for the Vanquish Fitness storefront structure to ensure accuracy and consistency.

Can the extracted data be used in other applications? Absolutely. The structured output is suitable for databases, spreadsheets, analytics tools, and custom software.

How often can the scraper be run? It is designed for repeatable execution and can be run as frequently as needed, depending on your infrastructure.

Does it handle product updates automatically? Each run reflects the current state of the store, capturing updates to prices, availability, and listings.

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Performance Benchmarks and Results

Primary Metric: Average extraction speed of several hundred product pages per minute under normal conditions.

Reliability Metric: Consistent success rate above 98% on stable storefront layouts.

Efficiency Metric: Low memory and CPU usage, allowing parallel runs without resource strain.

Quality Metric: High data completeness with accurate product fields across categories.

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