Automated Web Scraper for Product Data Collection

This n8n workflow automates the process of scraping product information from web pages and systematically storing the data into a Google Sheet. It begins with a trigger, which activates the workflow manually or on a schedule. The workflow then retrieves URLs from a specified Google Sheet, performs web scraping using Bright Data’s API, cleans the HTML content to extract meaningful information, and leverages GPT-4 to parse the product data into a structured format. Finally, the extracted data, including product name, description, rating, reviews, and price, is appended to a results Google Sheet for easy analysis.

This workflow is ideal for eCommerce monitoring, competitor analysis, or aggregating product data from multiple sources. Businesses can utilize this setup to automate their data collection pipeline, saving time and ensuring consistent data quality.