This repository contains Python-based scrapers for extracting product data from Houzz. The scrapers utilize requests for making HTTP requests and BeautifulSoup for parsing HTML content. The extracted data includes product listings and detailed product information, making it valuable for market analysis, competitor research, and e-commerce insights.

➡ Read the full blog here to learn more.

The houzz_listings_scraper.py extracts product details from search results, including:

• Title
• Price
• Rating
• Image URL
• Product Page Link

This scraper automatically paginates through multiple pages to ensure a comprehensive extraction of product listings.

The houzz_product_scraper.py extracts detailed product information from individual product pages, including:

• Title
• Price
• Description
• Image URLs
• Product Page Link

This scraper provides in-depth product insights by gathering additional details available only on individual product pages.

Ensure Python is installed on your system. Check the version using:

python --version

Install the required dependencies:

pip install requests beautifulsoup4

• requests – Handles HTTP requests.
• BeautifulSoup – Parses HTML to extract structured data.

Extract product listings and save the data as JSON:

python houzz_listings_scraper.py

Use product page URLs from the listings to extract detailed information:

python houzz_product_scraper.py

The extracted data will be saved in JSON files.

• Extract additional details like customer reviews and specifications.
• Add support for exporting data to CSV.
• Implement better error handling and retries.
• Optimize pagination handling for large-scale scraping.