This n8n workflow automates the extraction of keyboard product data from Amazon using AI-powered scraping. The process begins with a scheduled trigger to run at defined intervals. It then leverages the ScrapeGraphAI node to intelligently parse Amazon search results based on natural language instructions, extracting product titles, URLs, and categories. The scraped data is subsequently formatted and cleaned with a JavaScript code node to ensure consistency. Finally, the structured data is securely stored in a Google Sheets document, enabling ongoing analysis, tracking, and business intelligence. This workflow is ideal for eCommerce sellers and market researchers who want to automate product data collection and maintain up-to-date competitor or market insights.
Automated Amazon Keyboard Product Scraper with AI & Sheets
Node Count | 6 – 10 Nodes |
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Nodes Used | code, googleSheets, n8n-nodes-scrapegraphai.scrapegraphAi, scheduleTrigger, stickyNote |
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