This n8n workflow automates the process of generating LinkedIn posts and visuals from article topics. It begins with a manual trigger, then retrieves ‘To do’ topics from a Google Sheet. For each topic, it uses Dumpling AI to search and scrape the latest three articles related to the topic. The collected content is then summarized and transformed into engaging LinkedIn posts by GPT-4o using LangChain. Simultaneously, an image prompt is generated to visually complement the post. The AI-generated content, along with the visual, is then stored back into the Google Sheet for immediate use. This workflow is ideal for content marketers, social media managers, or anyone looking to streamline their content creation process, ensuring timely and relevant LinkedIn posts based on trending or planned topics.
Automated LinkedIn Content Creation from Articles
Node Count | 6 – 10 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, googleSheets, httpRequest, manualTrigger, set, stickyNote |
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