📱 Generate article-based posts for LinkedIn, Twitter (X), and Reddit with OpenAI

⚡ 98 views · 📱 Social Media & Email Marketing

💡 Pro Tip — If you’re pulling LinkedIn data through HTTP requests or dealing with API restrictions, there’s a community node called ScraperNode that handles this natively. It has dedicated scrapers for profiles, companies, jobs, and people search — you just pass a URL and get structured data back.

Description

Overview

AI-powered workflow that transforms any article URL into platform-optimized social media posts for LinkedIn, Twitter (X), and Reddit. Uses Mozilla Readability for content extraction, multi-agent AI with RAG from viral LinkedIn post database, and interactive review forms for content refinement before auto-publishing.

Key Capabilities:

• Extracts article content: title, author, text, images, metadata
• Generates LinkedIn posts using 3-agent system with viral pattern matching
• Creates Twitter threads under 280 characters with article links
• Auto-posts to Reddit with AI-selected flairs
• Interactive review/regeneration workflow with feedback loops
• Auto-publishes with images or links to all platforms

How It Works

Stage 1: Article Content Extraction

1. Form Submission: User enters article URL (with basic auth protection)
2. URL Validation: Checks if valid URL format
3. Article Scraping: HTTP request fetches HTML content
4. Readability Parsing: Mozilla Readability extracts:
   • Clean article text (removes ads, navigation, etc.)
   • Title, author, excerpt
   • Word count, site name
   • Featured image (from og:image, twitter:image, or first img tag)
5. Error Handling: Returns user-friendly error if scraping fails

Stage 2: LinkedIn Post Generation (3-Agent System)

Agent 1: LinkedIn Post Strategist

• Input: Extracted article content (title, text, author, excerpt)
• RAG Process: Queries Supabase vector database for similar viral LinkedIn posts
• Analysis: Identifies patterns, hooks, formatting, engagement triggers
• Output: Strategic insights and viral content patterns

Agent 2: LinkedIn Post Generator

• Input: Article content + strategist insights
• Process: Creates post using viral patterns from database
• Rule: Must include article URL in post
• Output: Draft LinkedIn post

Agent 3: LinkedIn Post Formatter

• Input: Generated post
• Process:
  • Removes extraneous content
  • Applies Sans Serif Bold Unicode for emphasis (𝗯𝗼𝗹𝗱 𝘁𝗲𝘅𝘁)
  • Removes markdown/em dashes
  • Ensures clean formatting
• Output: Polished, ready-to-post LinkedIn content

Review Loop:

1. User sees formatted post in web form
2. Options: “Regenerate” or “Continue”
3. If regenerate: Provide feedback → Agent creates new version
4. Second review form with same options
5. After 2 iterations or approval, proceeds to image selection

Stage 3: Image Handling for LinkedIn

1. Image Preview: Shows extracted article image
2. User Choice:
   • “Yes” → Downloads image, posts with text + image
   • “Continue without Image” → Posts with text + article link preview
3. Auto-Publish: Posts to LinkedIn with selected format

Stage 4: Twitter (X) Post Generation

Parallel process (runs alongside LinkedIn):

1. Twitter Agent:
   • Creates tweet under 280 characters (including spaces)
   • Must include article URL
   • Uses GPT-4.1 or GPT-5 models
2. Tweet Review Form: User reviews generated tweet
3. Regeneration Loop (if requested):
   • User provides feedback
   • Re-generate Tweet Agent creates new version
   • Second review form
4. Auto-Tweet: Posts with article image attachment

Stage 5: Reddit Post Automation

Parallel process (runs alongside LinkedIn/Twitter):

1. Subreddit Selection: User picks from dropdown (r/n8n, r/mcp, r/technews)
2. Flair Retrieval: Fetches available flairs for selected subreddit via Reddit API
3. AI Flair Selection:
   • GPT-4o-mini analyzes article title + available flairs
   • Selects most appropriate flair
4. Auto-Post: Submits link post to Reddit with title and selected flair

How To Use

Prerequisites

API Credentials Required

1. OpenAI API: GPT-4.1, GPT-5, GPT-5-mini, GPT-4o-mini access
2. Supabase: Vector database with linkedin_post table (from previous workflow)
3. LinkedIn OAuth2: Developer app with posting permissions
4. Twitter OAuth2: Developer account with tweet permissions
5. Reddit OAuth2: App credentials with submit permissions
6. Basic Auth: For form password protection

Setup Steps

1. Configure Form Access

• Open “On Article Submission” node
• Set up basic auth credentials for form protection
• Get form URL from webhook settings

2. Link Vector Database

• Ensure Supabase vector store has viral LinkedIn posts (use previous workflow to populate)
• Verify “LinkedIn Post Vector Store” credentials
• Check “Embedding” node has OpenAI API key

3. Set Up Social Media APIs

LinkedIn:

• Configure “Text + Image” and “Text + Link” nodes
• Update person parameter with your LinkedIn profile ID
• Add OAuth2 credentials

Twitter:

• Configure “Tweet” and “Re-generated Tweet” nodes
• Add Twitter OAuth2 credentials

Reddit:

• Update subreddit list in “Reddit Form” dropdown (customize to your subreddits)
• Configure “Get Flair”, “Reddit Post” nodes with OAuth2
• Update subreddit name in “Reddit Post” query parameters

4. Configure AI Models

• Verify all OpenAI credentials in language model nodes
• Models used: GPT-4.1, GPT-5, GPT-5-mini (adjust based on your access)

🔗 Nodes Used

HTTP Request, X (Formerly Twitter), LinkedIn, AI Agent, Embeddings OpenAI, OpenAI Chat Model

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup