Automate AI-Enhanced LinkedIn Posting from Notion

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This n8n workflow automates the process of creating engaging LinkedIn posts using data stored in a Notion database, enhanced by AI, and then automatically publishes the content. The workflow is scheduled to run at a specific time each day, fetching relevant posts based on the date, and processing them for optimal engagement.

The process begins with a scheduled trigger set to activate daily at a designated hour. It then queries a Notion database containing potential posts, filtering for entries with today’s date. Each selected post undergoes content retrieval, where all related content blocks and images are aggregated.

Next, the workflow leverages OpenAI’s language model to reformat and improve the post content, ensuring it is engaging and well-structured. It also fetches any images attached to the post, combining text and visuals into a cohesive format suitable for LinkedIn.

Finally, the enriched content and image are merged and posted directly to LinkedIn via the LinkedIn API. Once the post is successfully published, the workflow updates its status in Notion to “Done” to prevent duplicate postings.

This automation is ideal for social media managers or content creators who regularly schedule and publish posts, enabling them to automate content curation, enhancement, and distribution with minimal manual effort.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.openAi, aggregate, httpRequest, linkedIn, merge, notion, scheduleTrigger, stickyNote

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