How to Scrape Etsy With Python | Web Scraping Tutorial

Want to scrape Etsy product listings? This tutorial shows you how to extract product data from Etsy using Python and Playwright. We'll cover everything from browser setup with proxies to handling dynamic content and saving your data to CSV. 🔗 How to scrape Etsy with Python: 1. Install Python and Playwright with Chrome browser. 2. Set up proxy configuration with your Decodo credentials. 3. Launch browser with Chrome headless mode and anti-detection features. 4. Load the target Etsy page and handle cookie consent banners. 5. Extract product data using CSS selectors with fallback options. 6. Parse prices, discounts, ratings, and reviews from each listing. 7. Save the scraped data to CSV format. 🚀 Try Decodo residential proxies for free: https://dashboard.decodo.com/residential-proxies/pricing 📄 Get the full code from the blog post: https://decodo.com/blog/how-to-scrape-etsy 💡 Why use residential proxies? Residential proxies help prevent IP blocks, CAPTCHAs, and other anti-bot obstacles when scraping at scale. Decodo provides access to 115M+ residential IPs across 195+ locations, with a response time of less than 0.6s and a 99.95% success rate. ⏰ Timestamps: 0:00 – Intro 0:16 – Why scrape Etsy 0:28 – Requirements 0:31 – Installing Python & Playwright 0:40 – Getting proxies 0:48 – Scraper overview 0:56 – Imports & class setup 1:05 – Proxy configuration 1:13 – Headless Chrome launch 1:23 – Browser context setup 1:33 – Hiding automation 1:43 – Cookie consent handling 1:57 – CSS selectors & extraction 2:11 – Extracting product data 2:23 – Price extraction 2:37 – Handling discounts 2:51 – Saving to CSV 3:08 – Setting target URL 3:21 – Run summary 3:29 – Full code & links 3:38 – Outro 👉 Tools used: – Python – Playwright – Decodo residential proxies ▶️ You'll learn how to: ✔️ Install and set up Playwright with Chrome’s headless mode ✔️ Configure residential proxies ✔️ Create a realistic browser context to reduce automation detection ✔️ Handle cookie consent banners