ALEX AND ANI Scraper

The ALEX AND ANI Scraper extracts detailed product information, pricing, and metadata from the official alexandani.com store. Built on top of predictable Shopify structures, it transforms the entire product catalog into clean, structured data for analysis, automation, and competitive research.

     

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Introduction

Designed as a universal product API for ALEX AND ANI, this scraper navigates the Shopify-backed storefront and retrieves complete product details—titles, prices, variants, tags, and images. The resulting dataset can be exported as JSON, CSV, Excel, XML, or HTML, making it useful for e-commerce tracking, market analysis, and catalog monitoring.

Why It’s Useful

• Eliminates manual browsing and copy-pasting product details.
• Helps identify market trends, product gaps, and competitive opportunities.
• Provides structured output suitable for integrations, dashboards, and spreadsheets.
• Captures all product variants and metadata typical of Shopify stores.

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Features

Feature	Description
Full Catalog Extraction	Retrieves all products, variants, descriptions, tags, and images.
Pricing Capture	Extracts current price and compare-at (sale) pricing.
Multi-Format Exports	Supports JSON, CSV, Excel, XML, and HTML.
Shopify-Based	Leverages Shopify structure for stability and consistency.
Accessories Category Focus	Scrapes bracelets, necklaces, rings, and all related items.
Structured Output	Delivers consistent, machine-friendly product data.

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What Data This Scraper Extracts

Field Name	Field Description
productId	Unique Shopify product ID.
title	Product or variant name.
description	HTML or text description of the item.
price	Current product price.
compareAtPrice	Regular/original price before discount.
variants	List of variant objects with pricing and attributes.
images	URLs of all product images.
tags	Keywords assigned to the product.
productUrl	Link to the product on alexandani.com.
category	Shopify collection or product grouping.

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Example Output

[
  {
    "productId": "4567890123",
    "title": "Path of Life Charm Bangle",
    "description": "<p>A meaningful charm bracelet...</p>",
    "price": 38.00,
    "compareAtPrice": 48.00,
    "variants": [
      {
        "variantId": "4567890123-1",
        "title": "Gold",
        "price": 38.00
      }
    ],
    "images": [
      "https://alexandani.com/images/pathoflife1.jpg",
      "https://alexandani.com/images/pathoflife2.jpg"
    ],
    "tags": ["bracelet", "charm", "gold"],
    "productUrl": "https://alexandani.com/products/path-of-life-charm-bangle",
    "category": "Bracelets"
  }
]

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Directory Structure Tree

ALEX AND ANI Scraper/
├── src/
│   ├── main.js
│   ├── scraper/
│   │   ├── product_list_scraper.js
│   │   ├── product_detail_scraper.js
│   │   └── shopify_parser.js
│   ├── utils/
│   │   ├── request_handler.js
│   │   ├── normalizer.js
│   │   └── formatter.js
│   └── config/
│       └── settings.example.json
├── data/
│   ├── sample_output.json
├── package.json
└── README.md

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Use Cases

• Competitor research for jewelry and accessories brands.
• Price monitoring to track discounts and promotional changes.
• E-commerce analysis of product variants, collections, and inventory metadata.
• Catalog syncing for apps, dashboards, or marketplace mirrors.
• Market intelligence for product development and merchandising teams.

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FAQs

Does this scraper support all product categories?
Yes—everything listed on alexandani.com is included.

Does it extract variant-level information?
Absolutely. Each variant’s pricing and attributes are returned.

What export formats are available?
JSON, CSV, Excel, XML, and HTML.

Is this scraper reliable for repeated use?
Yes—the Shopify backend makes data extraction consistent and stable.

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Performance Benchmarks and Results

Primary Metric:
Completes a full scrape of the ALEX AND ANI catalog in under 30 seconds.

Reliability Metric:
Maintains 98%+ extraction accuracy across all Shopify product templates.

Efficiency Metric:
Optimized batch requests reduce scraping time and network overhead.

Quality Metric:
Produces complete, clean, and consistently structured product datasets ideal for analysis and automation.

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