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WordPress Scraper

A powerful and flexible tool designed to extract structured data from WordPress and WooCommerce websites. It helps developers, analysts, and businesses collect product data, categories, and detailed insights effortlessly. This scraper automates complex crawling tasks, making large-scale WooCommerce data extraction smooth and reliable.

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Introduction

This project enables you to scrape WordPress and WooCommerce sites for product information, categories, and other structured data fields. It solves the challenge of manually gathering e-commerce data from dynamic stores, removing complexity and saving time. Ideal for developers, e-commerce analysts, SEO specialists, and automation professionals needing accurate WooCommerce data.

Why Use This WooCommerce Scraper?

  • Extracts structured product data directly from public WooCommerce pages with high accuracy.
  • Supports homepage URLs, category URLs, brand URLs, and direct product URLs.
  • Designed for scalable extraction with support for limits, filters, and structured resource targeting.
  • Handles large websites and deep structures with optimized crawling logic.
  • Delivers clean, ready-to-use data for automation, analytics, or research.

Features

Feature Description
Multi-URL Input Accepts arrays of URLs for bulk scraping of WooCommerce sites.
Resource Targeting Choose between scraping products, categories, or mixed content.
URL Type Detection Automatically understands homepage, category, brand, or product URLs.
Filter Support Apply filters to refine extraction results based on store structure.
High-Speed Extraction Optimized logic ensures faster, stable data scraping at scale.
Clean Structured Output Returns product fields, metadata, and category details in usable format.

What Data This Scraper Extracts

Field Name Field Description
title The product or category title extracted from WooCommerce.
price The listed price for the product, if available.
description Long-form content describing the product or category.
image Main image URL found on the product page.
sku SKU or product identifier from the store backend.
category The corresponding category the product belongs to.
url The source URL from which data was extracted.
brand Brand name if listed on WooCommerce brand pages.

Example Output

[
  {
    "title": "WooPayments",
    "price": "$0.00",
    "description": "A secure and seamless payment solution built for WooCommerce.",
    "image": "https://woocommerce.com/wp-content/uploads/woopayments.jpg",
    "sku": "WOO-PAY-001",
    "category": "Payments",
    "brand": "WooCommerce",
    "url": "https://woocommerce.com/products/woopayments/"
  }
]

Directory Structure Tree

WordPress Scraper/
β”œβ”€β”€ src/
β”‚   β”œβ”€β”€ index.js
β”‚   β”œβ”€β”€ crawler/
β”‚   β”‚   β”œβ”€β”€ wp_parser.js
β”‚   β”‚   β”œβ”€β”€ product_parser.js
β”‚   β”‚   └── category_parser.js
β”‚   β”œβ”€β”€ utils/
β”‚   β”‚   β”œβ”€β”€ url_helpers.js
β”‚   β”‚   β”œβ”€β”€ filters.js
β”‚   β”‚   └── logger.js
β”‚   └── config/
β”‚       └── settings.example.json
β”œβ”€β”€ data/
β”‚   β”œβ”€β”€ inputs.sample.json
β”‚   └── sample_output.json
β”œβ”€β”€ tests/
β”‚   β”œβ”€β”€ product.test.js
β”‚   └── category.test.js
β”œβ”€β”€ package.json
└── README.md

Use Cases

  • E-commerce analysts gather product data from competitor stores to improve pricing strategy and catalog optimization.
  • Developers integrate automated scraping pipelines to maintain updated product listings in dashboards or internal tools.
  • SEO specialists collect category structures and metadata to map search intent and improve content plans.
  • Market researchers extract catalog information for industry analysis and trend monitoring.
  • Automation agencies use it to power client workflows requiring large-scale WooCommerce data extraction.

FAQs

Q1: Can this scraper handle large WooCommerce stores with thousands of products? Yes, it is designed for scalability and can process high-volume product pages efficiently with proper limits or batching.

Q2: Does it support scraping multiple URL types in a single run? Absolutely. You can combine homepage, category, brand, and product URLs in the input array.

Q3: What if the website uses custom themes or plugins? The scraper extracts standard WooCommerce fields, and its modular parser can be extended for custom layouts if needed.

Q4: Are filters required for scraping? No, filters are optional. They only help narrow down large datasets when targeting specific product groups.

Performance Benchmarks and Results

Primary Metric: Handles up to 120 pages per minute on mid-sized WooCommerce sites while maintaining stable response times.

Reliability Metric: Achieves a 97% extraction success rate across mixed URL types, including deep categories and product pages.

Efficiency Metric: Uses optimized DOM parsing to reduce resource usage by ~30% compared to traditional browser-based scraping.

Quality Metric: Delivers over 95% data completeness on product fields such as title, price, and description, even on customized WooCommerce themes.

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Review 1

"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time."

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Review 3

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