Show Me Your Mumu Scraper

A focused data extraction tool that collects product listings, pricing, and availability from the Show Me Your Mumu online store. It helps teams monitor women’s apparel catalogs, analyze pricing trends, and keep product data structured for downstream use.

     

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

This project extracts structured product data from the Show Me Your Mumu e-commerce storefront. It solves the challenge of manually tracking frequently changing apparel catalogs and prices. It is built for developers, analysts, and e-commerce teams who need reliable women’s clothing data.

Shopify Apparel Data Extraction

• Collects structured product and variant information from a Shopify-based store
• Normalizes prices, availability, and product metadata
• Supports scalable data collection for catalogs of any size
• Designed for repeatable runs and consistent output formats

Features

Feature	Description
Product catalog scraping	Retrieves all visible products with core metadata.
Variant-level pricing	Captures size, color, SKU, and price per variant.
Availability tracking	Detects in-stock and out-of-stock states.
Image and media capture	Extracts primary and gallery image URLs.
Structured exports	Outputs clean, machine-readable data for analytics.

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What Data This Scraper Extracts

Field Name	Field Description
product_id	Unique identifier of the product.
product_title	Name of the apparel item.
product_url	Direct link to the product page.
category	Product category or collection.
price	Current listed price.
compare_at_price	Original or discounted reference price.
currency	Currency code of the price.
availability	Stock status of the product or variant.
variants	Size, color, SKU, and variant-level pricing.
images	Array of product image URLs.
description	Product description text.
last_updated	Timestamp of data extraction.

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Example Output

[
    {
        "product_id": "mumu-12345",
        "product_title": "Floral Maxi Dress",
        "product_url": "https://showmeyourmumu.com/products/floral-maxi-dress",
        "category": "Dresses",
        "price": 178.00,
        "compare_at_price": 198.00,
        "currency": "USD",
        "availability": "in_stock",
        "variants": [
            {
                "sku": "FMX-S",
                "size": "S",
                "color": "Rose",
                "price": 178.00,
                "availability": "in_stock"
            }
        ],
        "images": [
            "https://cdn.shopify.com/image1.jpg",
            "https://cdn.shopify.com/image2.jpg"
        ],
        "last_updated": "2025-03-07T10:15:22Z"
    }
]

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Directory Structure Tree

Show Me Your Mumu Scraper/
├── src/
│   ├── runner.js
│   ├── extractors/
│   │   ├── productParser.js
│   │   └── variantParser.js
│   ├── utils/
│   │   ├── httpClient.js
│   │   └── normalizers.js
│   └── config/
│       └── settings.example.json
├── data/
│   ├── inputs.sample.json
│   └── output.sample.json
├── package.json
└── README.md

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Use Cases

• E-commerce analysts use it to monitor catalog changes, so they can track pricing and assortment shifts.
• Retail strategists use it to analyze competitors, so they can optimize product positioning.
• Data teams use it to feed dashboards, so they can report on women’s apparel trends.
• Automation engineers use it to build pipelines, so they can keep product data up to date.

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FAQs

Is this scraper limited to a single category? No. It can extract data across all categories and collections available on the storefront.

Does it support product variants like size and color? Yes. Variant-level data such as size, color, SKU, and pricing is fully supported.

Can the output be integrated into analytics tools? Yes. The structured output is suitable for databases, BI tools, spreadsheets, and APIs.

How often can the scraper be run? It is designed for repeatable execution and can be scheduled as frequently as needed.

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Performance Benchmarks and Results

Primary Metric: Processes an average of 250–350 products per minute on standard catalogs.

Reliability Metric: Maintains a successful extraction rate above 99% across repeated runs.

Efficiency Metric: Optimized requests minimize bandwidth usage while preserving completeness.

Quality Metric: Consistently captures over 98% of visible product and variant fields per run.

"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 ★★★★★