In this tutorial, we build a complete Amazon product scraper using Python and Playwright from scratch.
We start with creating the project folder on Mac Desktop, opening VS Code, installing Python and pip (if missing), creating a virtual environment, installing dependencies, scraping Amazon search results, opening individual product pages, extracting product information, and exporting everything into a CSV file.
What you'll learn:
✅ Install Python 3 and pip
✅ Create project folders in VS Code terminal
✅ Create and activate virtual environment
✅ Install Playwright and browser dependencies
✅ Scrape Amazon search result pages
✅ Collect product links automatically
✅ Visit each product page
✅ Extract title, description, price, images, ASIN and URL
✅ Export data into CSV
✅ Organize a real scraper project structure
Project Flow:
Desktop Folder
→ VS Code Setup
→ Install Dependencies
→ Search Page Scraping
→ Product Extraction
→ CSV Export
Tools Used:
Python
Playwright
BeautifulSoup
VS Code
CSV Export
This video is beginner-friendly and designed as the first episode in the Python Product Scraping series.
Subscribe for upcoming videos:
Pagination scraping
Infinite scrolling
Async scraping
Proxy rotation
Database storage
Production-ready scraper architecture
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