This n8n workflow automates the process of monitoring the official n8n blog for new articles, generating summaries, and creating engaging LinkedIn posts with human oversight. It starts with a scheduled trigger that fetches the latest blog entries, extracts essential details like titles, links, tags, and publication dates, and checks if the articles are within the last 24 hours. Using an LLM (GPT-4), it then summarizes each article to highlight key points. The workflow drafts an initial LinkedIn post tailored for each article, which is then sent to a human reviewer via the gotoHuman platform. The reviewer can approve, reject, or request edits to the draft. Approved posts are published automatically on LinkedIn, streamlining content sharing while ensuring quality and relevance. This setup is ideal for content marketing teams or tech companies looking to maintain an active social media presence with minimal manual effort, especially when managing multiple articles and requiring human validation.
Automated Blog Monitoring and LinkedIn Posting Workflow
Node Count | >20 Nodes |
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Nodes Used | @gotohuman/n8n-nodes-gotohuman.gotoHuman, @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatOpenAi, html, httpRequest, if, linkedIn, scheduleTrigger, set, splitInBatches, splitOut, stickyNote, switch |
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