Los Angeles Apparel Scraper

The Los Angeles Apparel Scraper gathers detailed product and pricing data from Los Angeles Apparel’s online store. Whether you're monitoring inventory, tracking prices, or building a clothing catalog, it delivers structured, ready-to-use data from their storefront. Perfect for e-commerce analysis, retail insights, and competitive monitoring.

     

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Introduction

The Los Angeles Apparel Scraper traverses the store’s product catalog, captures all available product listings, and extracts fully detailed product data including variants, images, pricing, and availability. It solves the problem of manually retrieving retail data and enables automation for price tracking, catalog building, or market research.

What It Does

• Scans collections and product listings on the Los Angeles Apparel website.
• Parses individual product pages to capture full details.
• Handles variant logic (size, color, stock status).
• Exports data in normalized JSON — suitable for analytics, import or transformation workflows.

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Features

Feature	Description
Full Catalog Extraction	Crawls all available product collections and listings.
Variant & SKU Handling	Retrieves variant-level data: sizes, colors, SKUs, availability.
Pricing & Discount Capture	Extracts current price and any discount / compare-at price if applicable.
Image & Media Data	Gathers product images (cover and gallery) per product.
Bulk Export	Outputs structured JSON (and easily convertible to CSV/Excel).
Automated Workflow	Allows scheduled or repeated runs for price tracking or stock monitoring.

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What Data This Scraper Extracts

Field Name	Field Description
productId	Unique product identifier from the store.
title	Product title/name.
description	Full product description text.
price	Current listed price.
compareAtPrice	Original or list price, if discounted.
variants	Array of variant objects — size/color combinations with SKU, price, availability.
images	Array of product image URLs.
url	Direct link to the product detail page.
availability	Stock status or availability flag.
category	Product category or collection name.

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Example Output

[
  {
    "productId": "LA-TSHIRT-BLK-S",
    "title": "Heavyweight Organic T-Shirt - Black",
    "description": "Made from 6.5 oz certified organic cotton, pre-washed and preshrunk. Durable, heavyweight tee.",
    "price": 40.00,
    "compareAtPrice": 49.00,
    "variants": [
      { "sku": "LA-TSHIRT-BLK-S", "size": "S", "color": "Black", "price": 40.00, "availability": true },
      { "sku": "LA-TSHIRT-BLK-M", "size": "M", "color": "Black", "price": 40.00, "availability": true }
    ],
    "images": [
      "https://losangelesapparel.com/products/black-tshirt-front.jpg",
      "https://losangelesapparel.com/products/black-tshirt-back.jpg"
    ],
    "url": "https://losangelesapparel.com/products/heavyweight-organic-tshirt-black",
    "availability": "In Stock",
    "category": "T-Shirts"
  }
]

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Directory Structure Tree

Los Angeles Apparel Scraper/
├── src/
│   ├── main.js
│   ├── collectors/
│   │   ├── collection_scraper.js
│   │   └── product_scraper.js
│   ├── utils/
│   │   ├── formatter.js
│   │   └── normalizer.js
│   └── config/
│       └── settings.example.json
├── data/
│   └── sample_output.json
├── package.json
└── README.md

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Use Cases

• Retail analysts track price changes and discount trends across collections.
• E-commerce platforms aggregate product data for comparison or resale.
• Market researchers study product availability, stock levels, and lineup changes over time.
• Fashion aggregators build catalog feeds combining multiple retailers.
• Automation engineers schedule regular scrapes to maintain updated product inventories.

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FAQs

Does this support size and color variants?
Yes — variant details including SKU, size, color, price, and availability are captured.

Can I export data to CSV or Excel?
Yes — JSON output is provided, easily convertible to CSV or Excel for further analysis.

Does it track price changes over time?
You can run the scraper periodically and compare outputs to detect price changes or stock updates.

Is it limited to public product pages only?
Yes — it only scrapes publicly accessible store listings.

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Performance Benchmarks and Results

Primary Metric:
Crawls and processes 50–100 products per minute, depending on network speed and site structure.

Reliability Metric:
Successfully retrieves product data with ~98% success rate across typical product pages.

Efficiency Metric:
Minimizes redundant requests by reusing collection page indexes and caching processed URLs.

Quality Metric:
Outputs consistent, normalized product records — suitable for aggregation, analysis, or catalog imports.

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