How I Built a Google Shopping Scraper with Python & Playwright
The article discusses the creation of a Google Shopping scraper using Python and Playwright. The scraper is designed to compare prices across various sellers quickly and efficiently. It extracts key product information and saves the output in JSON and CSV formats.
- ▪The scraper searches Google Shopping for any product and extracts relevant details.
- ▪It works across multiple sellers including Flipkart, Amazon, and Croma.
- ▪The output is automatically saved in both JSON and CSV formats.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3960049) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Partha Singh Posted on May 30 How I Built a Google Shopping Scraper with Python & Playwright #python #playwright #webscraping #showdev Why I Built This I wanted to compare prices across Google Shopping without clicking through 100 tabs manually. So I built a scraper that does it in seconds.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).