Extract Amazon product data with Scrape.do, GPT-4 & Google Sheets

Amazon Product Scraper with Scrape.do & AI Enrichment

> This workflow is a fully automated Amazon product data extraction engine. It reads product URLs from a Google Sheet, uses Scrape.do to reliably fetch each product page’s HTML without getting blocked, and then applies an AI-powered extraction process to capture key product details such as name, price, rating, review count, and description. All structured results are neatly stored back into a Google Sheet for easy access and analysis.

This template is designed for consistency and scalability—ideal for marketers, analysts, and e-commerce professionals who need clean product data at scale.

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🚀 What does this workflow do?

Reads Input URLs: Pulls a list of Amazon product URLs from a Google Sheet. Scrapes HTML Reliably: Uses Scrape.do to bypass Amazon’s anti-bot measures, ensuring the page HTML is always retrieved successfully. Cleans & Pre-processes HTML: Strips scripts, styles, and unnecessary markup, isolating only relevant sections like title, price, ratings, and feature bullets. AI-Powered Data Extraction: A LangChain/OpenRouter GPT-4 node verifies and enriches key fields—product name, price, rating, reviews, and description. Stores Structured Results: Appends all extracted and verified product data to a results tab in Google Sheets. Batch & Loop Control: Handles multiple URLs efficiently with Split In Batches to process as many products as you need.

🎯 Who is this for?

E-commerce Sellers & Dropshippers: Track competitor prices, ratings, and key product features automatically. Marketing & SEO Teams: Collect product descriptions and reviews to optimize campaigns and content. Analysts & Data Teams: Build accurate product databases without manual copy-paste work.