This n8n workflow automates the process of monitoring user activity and re-engaging inactive users through email. It runs daily, scraping user data from a specified dashboard URL using an AI-powered data scraper integrated with Bright Data’s MCP. The workflow then processes last login dates, calculating how many days have passed since each user last logged in. If a user hasn’t logged in for 30 days or more, an automated re-engagement email is sent via Gmail, encouraging them to return. This automation is ideal for SaaS platforms or online communities aiming to reduce churn and maintain an active user base. It combines scheduling, web scraping with AI, date processing, logical conditions, and email notifications into a seamless process for proactive user engagement.

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