This n8n workflow automates the process of monitoring and analyzing customer satisfaction through review scraping, NPS calculation, and reporting, tailored for businesses seeking continuous feedback insights. It triggers weekly to fetch reviews from a specified URL (like Trustpilot), uses AI and Bright Data to scrape data effectively, calculates and categorizes the reviews into Promoters, Passives, and Detractors, and then logs the resulting Net Promoter Score (NPS) and other metrics into a Google Sheet. This automation enables businesses to track customer sentiment over time, identify trends, and make data-driven decisions without manual intervention. The workflow is highly flexible, allowing easy updates to target URLs and prompts, and provides leadership with real-time dashboards for customer satisfaction insights.

Node Count	11 – 20 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.outputParserAutofixing, @n8n/n8n-nodes-langchain.outputParserStructured, code, googleSheets, n8n-nodes-mcp.mcpClientTool, scheduleTrigger, set, stickyNote