Scrape Entire Product Catalogues From Build.Com Using Unwrangle

When planning construction or renovation projects, finding accurate material costs is challenging. Build.com catalogues thousands of products, but manually retrieving product details, images, and prices is inefficient.

That is where Unwrangle helps.

With Unwrangle, you can scrape entire Build.com product catalogs automatically. This guide will show you exactly how to extract category listings, optimize procurement planning, and get structured data for analysis.

Why Scrape Product Data from Build.com?

Build with Ferguson is a major online marketplace for home improvement materials. Scraping this data provides accurate product insights for better procurement and budgeting.

However, manually searching through thousands of product listings is inefficient and impractical.

Automating data extraction helps procurement specialists and real estate analysts to make informed decisions. Here’s why:

• Accurate Price Estimation: Real-time pricing data allows for precise cost calculations, vendor comparisons, and better budget planning.

• Market Trend Insights: Analyzing historical and live pricing trends helps optimize procurement strategies.

• Variant Comparison: Gather details on product variations, such as color, material, and size, to select the most suitable options.

• Comprehensive Product Analysis: Scrape detailed product descriptions, specifications, and images to analyze per project requirements.

Step-by-Step Guide: Scraping Build.com with Unwrangle

Step 1: Get Category URLs from Build.com’s Sitemap

Build.com offers a sitemap listing all product categories, making it easy to find the correct URLs for scraping.

1. Visit Build.com’s Sitemap: Open Build.com Sitemap.

2. Locate Your Category: Find relevant sections like “Lighting,” “Plumbing,” or “Hardware.”

3. Identify the Main and Subcategories: For example, under Chandeliers, you’ll find subcategories
   like Shop All Chandeliers, Linear Chandeliers, and Crystal Chandeliers.

4. Copy the Relevant URL: In this blog, we will scrape all chandeliers. https://www.build.com/shop-all-chandeliers/c82044300

Step 2: Prerequisites

Before scraping, ensure you have the following:

• API Key: Sign up on Unwrangle to get your unique API key.
• Python Installed: Ensure Python 3.x is installed on your system.
• Requests Library: Install the requests library by running:
  pip install requests

Step 3: Scraping an Entire Category

The Python script below automates the scraping of an entire Build.com category. It paginates through all available products and saves the results in a JSON file.

Get Our Pre-Scraped Chandelier Data

We know scraping data can take time. For your convenience, we are providing the scraped chandelier dataset from Build.com, which we just scraped.

Preview of the Dataset:

Download the Chandelier Dataset

What’s Included in the Dataset

The dataset provides detailed information, including:

• Product Listings: Name, brand, model number, and direct product URL.
• Pricing Data: Current price, price range, and currency.
• Customer Insights: Average rating and total reviews.
• Variants: Available colors/finishes, model-specific URLs, and stock availability.
• Specifications: Bulb type, dimensions, number of bulbs, and sloped ceiling compatibility.
• Images: High-quality product images and thumbnails.
• Shipping Info: Free shipping availability and quick ship eligibility.
• Collection Details: Collection name and direct link.

3 Ways Businesses Can Use Scraped Build.com Data

Real-Time Price Tracking and Cost Optimization

Tracking live price updates and seasonal fluctuations helps procurement teams stay ahead of market changes. By continuously analyzing vendor pricing, businesses can negotiate bulk order discounts and secure better deals.

Inventory Planning and Stock Availability

Monitoring supplier stock levels in real time ensures materials are available when needed. Procurement teams can adjust purchase orders proactively to maintain optimal stock levels, reducing storage costs and preventing project delays.

Budget Forecasting for Large-Scale Projects

Historical pricing trends help procurement teams predict future costs and make informed purchasing decisions. Comparing similar products allows businesses to balance quality and affordability while minimizing budget overruns.

Start Scraping Build.com Today

With Unwrangle, extracting Build.com data is simple and efficient. You can automate structured data collection without manual efforts.

Build.com Product Search API | Build.com Product Data API | Build.com Category Search API

• Instantly retrieve product details like prices, images, and descriptions.
• Get structured JSON responses that are easy to integrate into your code.