This n8n workflow automates the process of monitoring and analyzing LinkedIn company posts for competitive insights. Starting with a manual trigger and user-input LinkedIn company URL, it employs artificial intelligence and Bright Data’s MCP tool to scrape the latest five posts from the specified company’s LinkedIn page. The workflow then calculates engagement metrics such as total and average likes and comments, storing these summaries in Google Sheets for ongoing tracking. Additionally, it formats and archives detailed post content separately, facilitating in-depth content analysis. This automation is ideal for digital marketers, analysts, or social media managers seeking to streamline competitive analysis, performance tracking, or content strategy planning without writing code.
LinkedIn Competitor Engagement Monitoring Workflow
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.outputParserAutofixing, @n8n/n8n-nodes-langchain.outputParserStructured, code, googleSheets, manualTrigger, n8n-nodes-mcp.mcpClientTool, set, stickyNote |
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