Automated LinkedIn Post Analysis and Style Enhancement

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This n8n workflow automates the process of collecting LinkedIn posts, analyzing their writing style, and generating tailored prompts for style enhancement. The workflow begins with a webhook trigger for new LinkedIn data, then fetches posts via an HTTP request. It waits for scraping to complete, verifies the status, and retrieves the data. Using language models, it analyzes the writing style of the posts and creates prompts for style modification. The final step saves the processed data to Airtable for analysis and record-keeping.

This workflow is ideal for social media managers, content marketers, or data analysts aiming to streamline content review, generate personalized content strategies, or improve LinkedIn engagement through automated style analysis and refinement.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatOpenRouter, aggregate, airtable, formTrigger, httpRequest, if, stickyNote, wait

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