Automate email campaign analysis & smart follow-ups with Bright Data & OpenAI
UnknownUnknown. This template uses community nodes we can't verify statically. Uses community nodes that can't be verified statically (unverified community packages are off by default in 3.0). Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 11 nodes and runs on a schedule (every day at 09:00). Along the way it connects OpenAI Chat Model, Gmail and Mcp (community).
How it runs
Trigger: On a schedule (every day at 09:00).
- ✏️ Set Campaign Input Fields (Edit Fields (Set)): sets 1 field: url
- 🤖 Agent: Scrape & Analyze Campaign Performance (AI Agent): runs an AI agent, with model: 🧠 LLM: Summarize & Format; 1 tool (🌐 Bright Data MCP: Scrape Report); output parser: Auto-fixing Output Parser
- If: checks a condition and branches into true / false
- 📧 Send Follow-Up Engagement Email (Gmail): uses Gmail
Services it uses
Before you upgrade to n8n 3.0
We can't fully verify this one: it relies on 1 community package, and n8n 3.0 turns unverified community packages off by default (N8N_UNVERIFIED_PACKAGES_ENABLED=false).
- Check that n8n-nodes-mcp is verified or supports 3.0 (used in 🌐 Bright Data MCP: Scrape Report).
Nodes used (10)
- Schedule Trigger
n8n-nodes-base.scheduleTrigger - Edit Fields (Set)
n8n-nodes-base.set - AI Agent
@n8n/n8n-nodes-langchain.agent - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Mcp Client Tool
n8n-nodes-mcp.mcpClientTool - If
n8n-nodes-base.if - Gmail
n8n-nodes-base.gmail - No Operation, do nothing
n8n-nodes-base.noOp - Auto-fixing Output Parser
@n8n/n8n-nodes-langchain.outputParserAutofixing - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured
From the author
This workflow contains community nodes that are only compatible with the self-hosted version of n8n. This workflow automatically tracks email campaign performance metrics and triggers smart follow-up actions based on engagement data. It saves you time by…