This n8n workflow automates the process of analyzing LinkedIn posts from competitors or industry leaders to gather actionable insights. It starts with a manual trigger where users input a LinkedIn post URL. The workflow then scrapes detailed post data using Bright Data, including content, engagement, and comments. An AI-powered model (Google Gemini) analyzes this data, summarizing the post, identifying its purpose, rating engagement levels, inferring target audiences, and providing marketing lessons. The insights are automatically structured and stored in a Google Sheet, creating a real-time competitive intelligence database. This workflow is ideal for marketing teams, social media strategists, or agencies seeking a scalable way to monitor and learn from LinkedIn content.
LinkedIn Post Analysis & Competitor Insights Workflow
Node Count | 11 – 20 Nodes |
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Nodes Used | @brightdata/n8n-nodes-brightdata.brightData, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.outputParserAutofixing, @n8n/n8n-nodes-langchain.outputParserStructured, googleSheets, manualTrigger, set, stickyNote |
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