This n8n workflow automates the process of scraping, analyzing, and storing customer reviews from Trustpilot for any specified company. It begins with a manual trigger where the user inputs a Trustpilot URL. The workflow then employs an AI agent integrated with Bright Data’s MCP tool to scrape the latest five reviews from the company’s Trustpilot page. These reviews are subsequently analyzed by an AI model to extract key insights, sentiment, and main issues. The reviews are then split into individual objects and stored systematically in Google Sheets for easy review management and reporting. This workflow is highly useful for businesses seeking to monitor customer feedback, understand sentiments, and identify recurring issues without manual effort.
Automated Trustpilot Review Scraper and Analyzer
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.outputParserAutofixing, @n8n/n8n-nodes-langchain.outputParserStructured, code, googleSheets, manualTrigger, n8n-nodes-mcp.mcpClientTool, set, stickyNote |
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