LIVELY Scraper is a focused tool for collecting structured product and pricing data from the LIVELY online store. It helps teams track undergarment listings, monitor price changes, and turn raw storefront data into usable insights for analysis and reporting.

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LIVELY Scraper extracts detailed product information from the LIVELY e-commerce platform and outputs it in a clean, structured format. It solves the problem of manually tracking products and prices across a growing catalog. This project is built for developers, analysts, and e-commerce teams who need reliable data for research, monitoring, or internal tools.

• Collects product and pricing data from a Shopify-based storefront
• Outputs structured datasets ready for spreadsheets, dashboards, or APIs
• Supports repeated runs for ongoing tracking and comparison
• Designed for undergarments and apparel catalogs with variants

[
  {
    "product_id": "lv-10234",
    "product_name": "Seamless Bralette",
    "category": "Undergarments",
    "price": 35.00,
    "currency": "USD",
    "availability": "in_stock",
    "variant": "Black / Medium",
    "product_url": "https://wearlively.com/products/seamless-bralette",
    "images": [
      "https://cdn.wearlively.com/images/bralette-front.jpg"
    ],
    "description": "Soft, wireless bralette designed for everyday comfort."
  }
]

LIVELY Scraper/
├── src/
│   ├── main.py
│   ├── scraper/
│   │   ├── product_parser.py
│   │   └── price_parser.py
│   ├── utils/
│   │   └── helpers.py
│   └── config/
│       └── settings.example.json
├── data/
│   ├── sample_input.json
│   └── sample_output.json
├── requirements.txt
└── README.md

• E-commerce analysts use it to track product pricing, so they can spot trends and changes over time.
• Market researchers use it to collect structured apparel data, so they can compare competitors efficiently.
• Developers use it to feed product data into internal tools, so they can automate reporting workflows.
• Retail teams use it to monitor availability, so they can react quickly to stock changes.

Is this scraper limited to undergarments only? The scraper is optimized for LIVELY’s undergarment catalog but can handle other apparel products available on the same storefront structure.

What output formats are supported? The data is produced in structured formats such as JSON, making it easy to convert into CSV, spreadsheets, or database imports.

Can it be run repeatedly for monitoring? Yes, it is designed for repeated execution, allowing you to compare historical data and track changes over time.

Does it support product variants? Yes, variants like size and color are captured as part of the extracted dataset.

Primary Metric: Processes an average product listing in under one second, including variants.

Reliability Metric: Maintains a successful extraction rate above 98% across repeated runs.

Efficiency Metric: Handles hundreds of products per run with minimal memory usage.

Quality Metric: Consistently captures complete product records with high field accuracy.

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