Monitor LinkedIn competitor engagement & analysis with Bright Data & AI
UnknownWhat this workflow does
This AI workflow has 12 nodes and runs manually, when you click “Execute workflow”. Along the way it connects Google Sheets, OpenAI Chat Model and Mcp (community).
How it runs
Trigger: Manually, when you click “Execute workflow”.
- 🔗 Set LinkedIn Company URL (Edit Fields (Set)): sets 1 field: URL
- 🤖 Agent: Fetch LinkedIn Posts (via MCP Tool) (AI Agent): runs an AI agent, with model: OpenAI Chat Model; 1 tool (🌐 Bright Data MCP Client); output parser: Auto-fixing Output Parser
- 📈 Analyze Engagement Metrics (Code): runs custom JavaScript code
- 📥 Save Averages to Google Sheets (Google Sheets): append
- 🧾 Format Post Content (Code): runs custom JavaScript code
- 📥 Save Posts to Google Sheets (Google Sheets): append
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 Client).
Nodes used (9)
- Manual Trigger
n8n-nodes-base.manualTrigger - Edit Fields (Set)
n8n-nodes-base.set - AI Agent
@n8n/n8n-nodes-langchain.agent - Mcp Client Tool
n8n-nodes-mcp.mcpClientTool - Code
n8n-nodes-base.code - Google Sheets
n8n-nodes-base.googleSheets - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Auto-fixing Output Parser
@n8n/n8n-nodes-langchain.outputParserAutofixing - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured
From the author
This workflow automatically monitors competitor social media engagement on LinkedIn to track their content performance and posting strategies. It saves you time by eliminating the need to manually check competitor social media accounts and provides detailed…