Automated LinkedIn Posting with Dynamic Content and Tagging

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This n8n workflow automates the process of creating and sharing engaging LinkedIn posts with dynamic content generation, automated image creation, and strategic tagging. The workflow begins with a manual trigger, allowing users to initiate the process as needed. It then generates customized post content through OpenAI’s language model, providing tailored, high-quality text for LinkedIn.

Next, the workflow creates a relevant image based on the generated content using OpenAI’s image generation capabilities, adding visual appeal to the post. To enhance discoverability and relevance, a random tag is selected from a predefined list of industry-related keywords, ensuring each post is uniquely categorized.

The generated content, image prompt, and selected tag are combined to craft a compelling LinkedIn post, which is automatically published via the LinkedIn node, sharing the message publicly. Following the post, a Telegram message is sent to notify the user that the post has been successfully published, including a link to the LinkedIn update, the assigned tag, and the timestamp.

This workflow is ideal for social media managers, content creators, or marketing teams seeking to streamline their LinkedIn presence with minimal manual effort, ensuring consistent, engaging, and visually appealing posts that target relevant audiences automatically.

Node Count

6 – 10 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.openAi, code, linkedIn, manualTrigger, set, telegram

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