Mandaue Foam Philippines Scraper

A focused data extraction tool that collects product listings and pricing from the Mandaue Foam Philippines online store. It helps teams track bed and bath products, monitor prices, and analyze catalog changes using clean, structured data.

     

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Introduction

This project extracts product information from the Mandaue Foam Philippines website and converts it into structured datasets ready for analysis. It solves the problem of manually tracking product catalogs and prices across a large e-commerce store. The scraper is built for analysts, developers, and businesses that need reliable product data for research or monitoring.

Built for E-commerce Insights

• Collects structured product and pricing data from a Shopify-based store
• Supports repeatable runs for ongoing catalog monitoring
• Outputs data suitable for analytics tools, spreadsheets, and apps
• Designed to scale across multiple product categories
• Focused on bed and bath retail data

Features

Feature	Description
Product listing extraction	Captures product names, categories, and URLs accurately.
Price monitoring	Tracks current prices to support competitive analysis.
Category filtering	Focuses on bed and bath product segments.
Structured output	Delivers clean JSON-ready data for easy integration.
Repeatable runs	Enables consistent data collection over time.

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What Data This Scraper Extracts

Field Name	Field Description
product_id	Unique identifier for each product.
product_name	Name of the listed item.
category	Product category within the store.
price	Current listed price of the product.
currency	Currency used for pricing.
product_url	Direct link to the product page.
availability	Stock or availability status.
images	Associated product image URLs.

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Example Output

[
  {
    "product_id": "MF-10231",
    "product_name": "Premium Cotton Bath Towel",
    "category": "Bath",
    "price": 899,
    "currency": "PHP",
    "product_url": "https://www.mandauefoam.ph/products/premium-cotton-bath-towel",
    "availability": "In Stock",
    "images": [
      "https://www.mandauefoam.ph/images/towel-1.jpg"
    ]
  }
]

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Directory Structure Tree

Mandaue Foam Philippines Scraper/
├── src/
│   ├── main.py
│   ├── scraper/
│   │   ├── product_parser.py
│   │   ├── category_handler.py
│   │   └── shopify_client.py
│   ├── exporters/
│   │   └── json_exporter.py
│   └── config/
│       └── settings.example.json
├── data/
│   ├── sample_input.json
│   └── sample_output.json
├── requirements.txt
└── README.md

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Use Cases

• E-commerce analysts use it to track product prices, so they can spot pricing trends quickly.
• Retail researchers use it to study bed and bath catalogs, so they can understand market positioning.
• Developers use it to feed product data into dashboards, so they can automate reporting.
• Business owners use it to monitor competitors, so they can adjust pricing strategies.
• Data teams use it to build historical datasets, so they can analyze long-term changes.

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FAQs

Is this scraper limited to bed and bath products only? The default configuration focuses on bed and bath categories, but the structure can be extended to other product types if needed.

What format is the extracted data stored in? Data is exported in a structured JSON format that works well with analytics tools and custom applications.

Can it handle frequent catalog updates? Yes, it’s designed for repeatable runs, making it suitable for tracking changes over time.

Do I need advanced technical skills to run it? Basic familiarity with Python and configuration files is enough to get started.

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Performance Benchmarks and Results

Primary Metric: Average extraction speed of several hundred product records per minute, depending on category size.

Reliability Metric: Consistent success rates across repeated runs with stable output structure.

Efficiency Metric: Optimized requests minimize redundant data fetching and reduce runtime overhead.

Quality Metric: High data completeness with accurate product names, prices, and URLs across listings.

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