Automated LinkedIn Posts from Blog Content

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This n8n workflow automates the process of generating engaging LinkedIn promotional messages from blog posts. It extracts recent articles from a WordPress blog, cleans the HTML content, and utilizes AI to craft professional social media posts. The generated content is then stored in Google Sheets for review or scheduling.

The workflow begins with a manual trigger, allowing users to start the process on demand. It then extracts the latest blog posts from WordPress using the Ghost API, pulling details such as title, URL, featured image, excerpt, and the HTML content.

Next, the HTML content is cleaned to remove tags and decode special characters, creating a readable version of the article content. This cleaned text, along with other post details, is sent to an AI agent powered by a language model like GPT-4, which generates a compelling LinkedIn post tailored for a professional audience.

The AI-generated posts are collected and stored in a Google Sheet, allowing for easy access, editing, and scheduling. The workflow features clear comments and setup instructions, making it suitable for content marketers or professionals seeking to automate their social media promotional efforts.

Overall, this workflow streamlines content promotion, saves time, and ensures consistent outreach through AI-powered social media posts, ideal for marketing teams or individual creators managing multiple blog articles.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, code, ghost, googleSheets, manualTrigger, merge, set, splitInBatches, stickyNote

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