Generate LinkedIn posts from Wikipedia with GPT-4 summaries and Ideogram images
Ready for 3.0What this workflow does
This AI workflow has 15 nodes and runs when someone submits an n8n form (“Wikipedia Search”). Along the way it connects OpenAI Chat Model, LinkedIn and Anthropic Chat Model. It also calls api.brightdata.com and api.ideogram.ai over HTTP.
How it runs
Trigger: When someone submits an n8n form (“Wikipedia Search”).
- HTTP Request: calls api.brightdata.com (POST)
- Wait for status (HTTP Request): calls an HTTP API
- Check Final Status (If): checks a condition and branches into true / false
- Wikipedia Scrap Post (HTTP Request): calls an HTTP API
- Wait: waits 1 minutes
- AI Agent: runs an AI agent, with model: OpenAI Chat Model; output parser: Auto-fixing Output Parser
- Image Generate (HTTP Request): calls api.ideogram.ai (POST)
- HTTP Request: calls an HTTP API
- Create a post (LinkedIn): uses LinkedIn
- LinkedIn URL (Code): runs custom JavaScript code
Services it uses
HTTP calls to: api.brightdata.com, api.ideogram.ai
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (11)
- HTTP Request
n8n-nodes-base.httpRequest - If
n8n-nodes-base.if - AI Agent
@n8n/n8n-nodes-langchain.agent - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Auto-fixing Output Parser
@n8n/n8n-nodes-langchain.outputParserAutofixing - LinkedIn
n8n-nodes-base.linkedIn - Anthropic Chat Model
@n8n/n8n-nodes-langchain.lmChatAnthropic - Code
n8n-nodes-base.code - Wait
n8n-nodes-base.wait - n8n Form Trigger
n8n-nodes-base.formTrigger
From the author
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…