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Publishing·n8n workflow

LinkedIn Post Auto-Scheduler

Blog post triggers LinkedIn variants: executive insight, practitioner tip, and thought leadership angles—auto-drafted and queued for team review.

Overview

What it does: When a new blog post publishes, this workflow automatically generates 3 LinkedIn-ready post variants tailored to different audience segments (executives, practitioners, thought leaders). Each variant is 150-200 characters with platform-native hashtags and clear CTAs. Posts are queued in Slack for final review before publishing. Business outcome: Transform one piece of content into three targeted LinkedIn posts. Increase LinkedIn reach by 3x with minimal editorial overhead. Maintain consistent brand voice across audience segments. Nodes & apps: n8n webhook trigger, OpenAI GPT-4o, Slack notifications, optional LinkedIn API integration Credentials needed: • OpenAI API key (for content generation) • Slack workspace access (for team review queue) • LinkedIn OAuth (optional, for direct posting) Setup steps: 1. Connect your CMS webhook to trigger on "blog post published" 2. Add OpenAI credentials in n8n 3. Connect Slack channel (#content) for review queue 4. Test with a sample blog post 5. Add LinkedIn integration if desired 6. Deploy and monitor Difficulty: Medium | Setup time: 10–15 min | Sources: MaTriXy/curated-n8n-workflows

What's included

Importable n8n workflow (JSON)
Real, wired nodes — trigger, logic, and actions
Setup notes: which credentials to connect
Free updates when the workflow changes
Commercial-use license — keep and customize
Email support if you get stuck

Quickstart

  1. 01

    Download the JSON

    With an active Library Pass, download the workflow file right from this page or your dashboard.

  2. 02

    Import into n8n

    Choose Import from File and select the downloaded JSON. The full agent graph appears, ready to configure.

  3. 03

    Plug in credentials

    Each integration node prompts for credentials on first run. The setup guide lists every credential the agent expects.

  4. 04

    Activate and test

    Run once with sample input, confirm the expected output, then flip the activate toggle.

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