Generate LinkedIn posts from Wikipedia with GPT-4 summaries and Ideogram images

Wikipedia to LinkedIn AI Content Poster with Image via Bright Data 📋 Overview Workflow Description: Automatically scrapes Wikipedia articles, generates AI-powered LinkedIn summaries with custom images, and posts professional content to LinkedIn using Bright Data extraction and intelligent content optimization. --- 🚀 How It Works The workflow follows these simple steps: 1. Article Input: User submits a Wikipedia article name through a simple form interface 2. Data Extraction: Bright Data scrapes the Wikipedia article content including title and full text 3. AI Summarization: Advanced AI models (OpenAI GPT-4 or Claude) create professional LinkedIn-optimized summaries under 2000 characters 4. Image Generation: Ideogram AI creates relevant visual content based on the article summary 5. LinkedIn Publishing: Automatically posts the summary with generated image to your LinkedIn profile 6. URL Generation: Provides a shareable LinkedIn post URL for easy access and sharing --- ⚡ Setup Requirements Estimated Setup Time: 10-15 minutes Prerequisites - n8n instance (self-hosted or cloud) - Bright Data account with Wikipedia dataset access - OpenAI API account (for GPT-4 access) - Anthropic API account (for Claude access - optional) - Ideogram AI account (for image generation) - LinkedIn account with API access --- 🔧 Configuration Steps Step 1: Import Workflow 1. Copy the provided JSON workflow file 2. In n8n: Navigate to Workflows → + Add workflow → Import from JSON 3. Paste the JSON content and click Import 4. Save the workflow with a descriptive name Step 2: Configure API Credentials 🌐 Bright Data Setup - Go to Credentials → + Add credential → Bright Data API - Enter your Bright Data API token - Replace BRIGHTDATAAPIKEY in all HTTP request nodes - Test the connection to ensure access 🤖 OpenAI Setup - Configure OpenAI credentials in n8n - Ensure GPT-4 model access - Link credentials to the "OpenAI Chat Model" node - Test API connectivity 🎨 Ideogram AI Setup - Obtain Ideogram AI API key - Replace IDEOGRAMAPIKEY in the "Image Generate" node - Configure image generation parameters - Test image generation functionality 💼 LinkedIn Setup - Set up LinkedIn OAuth2 credentials in n8n - Replace LINKEDINPROFILEID with your profile ID - Configure posting permissions - Test posting functionality Step 3: Configure Workflow Parameters Update Node Settings: - Form Trigger: Customize the form title and field labels as needed - AI Agent: Adjust the system message for different content styles - Image Generate: Modify image resolution and rendering speed settings - LinkedIn Post: Configure additional fields like hashtags or mentions Step 4: Test the Workflow Testing Recommendations: - Start with a simple Wikipedia article (e.g., "Artificial Intelligence") - Monitor each node execution for errors - Verify the generated summary quality - Check image generation and LinkedIn posting - Confirm the final LinkedIn URL generation --- 🎯 Usage Instructions Running the Workflow 1. Access the Form: Use the generated webhook URL to access the submission form 2. Enter Article Name: Type the exact Wikipedia article title you want to process 3. Submit Request: Click submit to start the automated process 4. Monitor Progress: Check the n8n execution log for real-time progress 5. View Results: The workflow will return a LinkedIn post URL upon completion Expected Output 📝 Content Summary - Professional LinkedIn-optimized text - Under 2000 characters - Engaging and informative tone - Bullet points for readability 🖼️ Generated Image - High-quality AI-generated visual - 1280x704 resolution - Relevant to article content - Professional appearance 🔗 LinkedIn Post - Published to your LinkedIn profile - Includes both text and image - Shareable public URL - Professional formatting --- 🛠️ Customization Options Content Personalization - AI Prompts: Modify the system message in the AI Agent node to change writing style - Character Limits: Adjust summary length requirements - Ton