This n8n workflow is designed to monitor Amazon product price drops by scraping data from CamelCamelCamel and Bright Data. It extracts detailed information on price declines, summarizes product descriptions, and analyzes customer sentiment to provide comprehensive insights. The workflow begins with manual trigger initiation, followed by configuration of key URLs for data extraction and notifications. It performs web scraping via Bright Data MCP Client and custom Markdown extraction for pricing data. Using advanced language models from Google Gemini, it processes and summarizes product details, while sentiment analysis reveals customer opinions. Results are aggregated, stored in Google Sheets, and notifications are sent through webhook endpoints, making it highly useful for eCommerce analysts or market researchers tracking price fluctuations and customer sentiment in real-time.
Automated Price Drop Insights for Amazon Products using n8n
| Node Count | >20 Nodes |
|---|---|
| Nodes Used | @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.chainSummarization, @n8n/n8n-nodes-langchain.informationExtractor, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.outputParserStructured, @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter, aggregate, googleSheets, httpRequest, manualTrigger, merge, n8n-nodes-mcp.mcpClient, set, splitInBatches, splitOut, stickyNote, wait |
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