A focused data extraction tool that collects structured product information and pricing from the JLab Audio online catalog. It helps teams track audio equipment data at scale, turning raw storefront pages into clean, usable datasets for analysis and decision-making.

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JLab Audio Scraper gathers detailed product data from JLab Audio’s e-commerce listings and converts it into structured formats ready for real-world use. It solves the problem of manually tracking product changes, pricing updates, and catalog growth across audio equipment lines. This project is built for developers, analysts, and product teams who need reliable product intelligence without manual effort.

• Collects consistent product data across the full JLab Audio catalog
• Structures raw storefront information into clean, machine-readable output
• Supports repeated runs for ongoing price and product monitoring
• Fits easily into analytics, reporting, and internal tooling workflows

[
  {
    "product_name": "JBuds Air True Wireless Earbuds",
    "product_url": "https://www.jlabaudio.com/products/jbuds-air",
    "price": 49.99,
    "sku": "IEUEBJBUDSAIRRBLK4",
    "category": "Earbuds",
    "availability": "In Stock",
    "description": "True wireless earbuds with long battery life and custom EQ.",
    "images": [
      "https://cdn.jlabaudio.com/images/jbuds-air-front.jpg"
    ]
  }
]

JLab Audio Scraper/
├── src/
│   ├── main.py
│   ├── fetcher/
│   │   └── product_fetcher.py
│   ├── parsers/
│   │   └── product_parser.py
│   ├── exporters/
│   │   └── json_exporter.py
│   └── config/
│       └── settings.example.json
├── data/
│   ├── sample_output.json
│   └── inputs.sample.txt
├── requirements.txt
└── README.md

• E-commerce analysts use it to monitor product pricing, so they can spot trends and competitive gaps.
• Product managers use it to track catalog changes, so they can plan launches and updates accurately.
• Market researchers use it to study audio equipment offerings, so they can evaluate positioning and demand.
• Developers use it to feed internal tools, so they can automate reports and dashboards.

Does this scraper support full catalog extraction? Yes, it is designed to scan and extract data across the entire JLab Audio product catalog, not just individual items.

What formats can the data be exported in? The scraper outputs structured data that can be easily converted to JSON or other common data formats for analysis.

Can it be run repeatedly for price tracking? Absolutely. The tool is well-suited for recurring runs to monitor price changes and product availability over time.

Is customization possible? Yes. Configuration files allow you to control which fields are extracted and how the output is structured.

Primary Metric: Processes full product listings with an average throughput of hundreds of products per minute, depending on catalog size.

Reliability Metric: Maintains a high success rate across repeated runs with consistent field extraction.

Efficiency Metric: Optimized request handling keeps resource usage low during large catalog scans.

Quality Metric: Delivers highly complete product records with accurate pricing and metadata across runs.

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