This n8n workflow automates the process of gathering user reviews from external review sites like Trustpilot, analyzing and structuring the feedback, and creating actionable Jira tickets for product development teams. The workflow begins with a manual trigger and URL input, allowing users to specify the review page. It then uses Bright Data MCP and AI agents to scrape reviews, extract key details (title, username, review text, date), and optionally analyze reviews with OpenAI’s GPT-4 model for categorization or summarization. Each review is subsequently split into individual items and forwarded to Jira to generate dedicated feature request tickets, streamlining feedback collection and prioritization within your workflow. Ideal for product teams seeking to efficiently leverage online reviews for task management and product improvement.

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, jira, manualTrigger, n8n-nodes-mcp.mcpClientTool, set, stickyNote