Automate AI-Powered Product Data Extraction to Google Sheets
Extract product data from hundreds of URLs in minutes with high accuracy, reducing manual data collection time by over 90% and accelerating market insights.
Manually collecting product data from websites is time-consuming, prone to errors, and difficult to scale, hindering competitive analysis and market research efforts. This workflow automates the entire process, leveraging AI to accurately extract structured product information from any URL and populate it directly into Google Sheets, enabling efficient, large-scale data acquisition.
Documentation
AI-Powered Product Data Scraper with Brightdata and Google Sheets
This n8n workflow offers a robust solution for automated product data extraction from web pages. It's designed for businesses, researchers, and analysts who need to collect structured information like product names, descriptions, ratings, reviews, and prices at scale, directly into Google Sheets.
Key Features
- Automated URL scraping using Brightdata's Web Unlocker for reliable data access.
- AI-powered (GPT-4 via OpenRouter) extraction of specific product attributes (name, description, rating, reviews, price).
- Intelligent HTML cleaning to optimize content for AI processing.
- Structured output parsing ensures consistent, machine-readable data.
- Seamless integration with Google Sheets for storing and managing extracted data.
How It Works
The workflow starts by fetching a list of product URLs from a specified Google Sheet. For each URL, Brightdata’s Web Unlocker is used to reliably scrape the page content, bypassing common anti-scraping measures. The raw HTML is then meticulously cleaned by a custom code node, removing unnecessary elements like scripts, styles, and non-essential tags to create a pristine input for the AI. A LangChain LLM (using GPT-4 via OpenRouter) then processes this cleaned HTML, extracting structured product details based on a predefined schema. Finally, the extracted name, description, rating, reviews, and price are appended as new rows to a results sheet in Google Sheets, providing a continuous, automated data pipeline.