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Scrape blog articles into AI-generated LinkedIn posts with GPT-4o & human review

gotoHumangotoHuman
1854 views
2/3/2026
Vision AIAI VisionWebhookImage AnalysisGoogle Gemini
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wflowpreview.JPG Auto-detect news from n8n and turn into a human-approved LinkedIn post. gotoHuman is used to keep a human in the loop. There you can manually edit the AI draft of the post or request to regenerate it.

How it works

  1. The workflow is triggered each day to fetch the latest version of https://blog.n8n.io.
  2. It then fetches each article, checks if it was published in the last 24 hours and uses an LLM to summarize it.
  3. An LLM then drafts a related LinkedIn post which is sent to gotoHuman for approval. In gotoHuman, the reviewer can manually edit it or ask to regenerate it with the option to even edit the prompt (Retries loop back to the AI Draft LinkedIn Post node) gthpreview.JPG gthchat.JPG
  4. Approved Posts are automatically published to LinkedIn

How to set up

  1. Most importantly, install the gotoHuman node before importing this template! (Just add the node to a blank canvas before importing)
  2. Set up your credentials for gotoHuman, OpenAI, and LinkedIn
  3. In gotoHuman, select and create the pre-built review template "Blog scraper agent" or import the ID: sMxevC9tSAgdfWsr6XIW
  4. Select this template in the gotoHuman node

Requirements

You need accounts for

  • gotoHuman (human supervision)
  • OpenAI (summary, draft)
  • LinkedIn

How to customize

  • Change the blog URL to monitor. Adapt to its' HTML structure
  • Provide the AI Draft LinkedIn Post with examples of previous posts so it picks up your writing style (consider adding gotoHuman's dataset of approved examples)
  • Use the workflow to target other publications, like your newsletter, blog or other socials

Scrape Blog Articles, Generate LinkedIn Posts with GPT-4o, and Enable Human Review

This n8n workflow automates the process of extracting content from a blog, generating engaging LinkedIn posts using an AI model (GPT-4o), and providing a mechanism for human review before publishing. It's designed to streamline content promotion and ensure quality control.

What it does

This workflow performs the following steps:

  1. Triggers on Schedule: The workflow starts on a predefined schedule (e.g., daily, weekly).
  2. Scrapes Blog Articles: It uses an HTTP Request node to fetch the content of a blog page.
  3. Extracts Article Links: The HTML content is parsed to extract individual blog article links.
  4. Loops Through Articles: For each extracted article link, the workflow proceeds to process it.
  5. Filters for New Articles: It checks if the article has been processed before (though the specific logic for this filtering is not fully detailed in the provided JSON, an If node is present, suggesting a condition check).
  6. Fetches Individual Article Content: For new articles, it makes another HTTP Request to get the full content of the article.
  7. Extracts Relevant Article Data: The HTML content of the individual article is parsed to extract key information (e.g., title, main content).
  8. Generates LinkedIn Post with AI: It uses an OpenAI Chat Model (GPT-4o) via a Basic LLM Chain to generate a LinkedIn post based on the article's content.
  9. Prepares for Human Review: An "Edit Fields (Set)" node likely formats the generated post and article data for easy review.
  10. Conditional Publishing/Review: A "Switch" node is present, suggesting different paths based on a condition, possibly for immediate publishing or routing to a review queue.
  11. Publishes to LinkedIn (Conditional): If the conditions are met (e.g., approved or auto-publish), the generated post is published to LinkedIn.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running n8n instance.
  • OpenAI API Key: For the "OpenAI Chat Model" node to generate AI content.
  • LinkedIn Account: Configured as a credential in n8n for publishing posts.
  • Blog URL: The URL of the blog you wish to scrape.

Setup/Usage

  1. Import the Workflow: Download the provided JSON and import it into your n8n instance.
  2. Configure Credentials:
    • Add your OpenAI API Key credential to the "OpenAI Chat Model" node.
    • Add your LinkedIn credential to the "LinkedIn" node.
  3. Update Blog URL: In the initial "HTTP Request" node (ID 19), update the URL to point to the blog page you want to scrape.
  4. Adjust HTML Parsing: You may need to adjust the selectors in the "HTML" nodes (ID 842) to correctly extract article links and content based on the structure of your target blog.
  5. Refine AI Prompt: Customize the prompt in the "Basic LLM Chain" node (ID 1123) to guide the AI in generating LinkedIn posts that align with your desired tone and style.
  6. Configure Review/Publishing Logic:
    • Review the "If" node (ID 20) and "Switch" node (ID 112) to define your logic for filtering new articles and handling human review vs. auto-publishing.
    • You might need to add nodes for human review (e.g., sending to Slack, email, or a Google Sheet) based on your specific needs.
  7. Set Schedule: Configure the "Schedule Trigger" node (ID 839) to run the workflow at your desired interval.
  8. Activate the Workflow: Once configured, activate the workflow to start automating your content promotion.

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