Templates / Monitor LinkedIn competitor engagement & analysis with Bright Data & AI

Monitor LinkedIn competitor engagement & analysis with Bright Data & AI

Unknown

by Yaron Been ✓ · 1,177 views · created 2025-07-13 · Market Research, AI Summarization

Unknown. 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 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”.

  1. 🔗 Set LinkedIn Company URL (Edit Fields (Set)): sets 1 field: URL
  2. 🤖 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
  3. 📈 Analyze Engagement Metrics (Code): runs custom JavaScript code
  4. 📥 Save Averages to Google Sheets (Google Sheets): append
  5. 🧾 Format Post Content (Code): runs custom JavaScript code
  6. 📥 Save Posts to Google Sheets (Google Sheets): append

Services it uses

Google SheetsOpenAI Chat ModelMcp (community)

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)

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…

Excerpt from Yaron Been's description on n8n.io.

View the original on n8n.io → Check your own copy

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