Automate Blog to Social Media Post Repurposing with n8n

Why This Automation Matters

As a Social Media Manager, you know that consistent, high-quality content is the backbone of successful social media strategy. However, creating unique posts for every platform is time-consuming and often leads to burnout. This n8n automation solves that challenge by:

Maximizing Content ROI: Transform one blog post into multiple social media assets
Maintaining Platform-Specific Optimization: Automatically adapt content length, tone, and format for each platform
Ensuring Consistent Posting: Schedule content across all platforms simultaneously
Saving 5+ Hours Weekly: Eliminate manual content repurposing tasks
Improving Engagement: Use AI to optimize messaging for each platform’s audience

This workflow monitors your blog’s RSS feed, extracts key insights, generates platform-specific content using AI, and schedules posts across Twitter, LinkedIn, and Facebook automatically.

What You Need Before Starting

Required Tools & Accounts

n8n Cloud or Self-hosted Instance: Active n8n installation
OpenAI API Key: For AI-powered content generation
RSS Feed: Your blog’s RSS feed URL
Social Media Platform APIs:
- Twitter API v2 credentials
- LinkedIn API credentials
- Facebook Graph API credentials
Scheduling Tool (Optional): Buffer, Hootsuite, or similar for advanced scheduling

Prerequisites

Basic understanding of n8n workflows
Admin access to your social media accounts
Blog with active RSS feed
Content strategy guidelines for each platform

Estimated Setup Time

45-60 minutes

Complete Node-by-Node Build Instructions

Step 1: Set Up the RSS Feed Trigger

Add RSS Feed Read Node
- Search for “RSS Feed Read” in the node panel
- Drag it to your workflow canvas
- Configure the node:
  - URL: Enter your blog’s RSS feed URL
  - Trigger Rules: Set to “Poll every 1 hour”
  - Property to Return: Select “All Items”

Step 2: Filter New Blog Posts

Add IF Node
- Connect it to the RSS Feed Read node
- Configure conditions:
  - Condition Type: Date/Time
  - Value 1: {{ $json.pubDate }}
  - Operation: “After”
  - Value 2: {{ DateTime.now().minus({hours: 2}).toISO() }}

Step 3: Extract Blog Content

Add HTTP Request Node
- Connect to the IF node’s “true” branch
- Configure:
  - Method: GET
  - URL: {{ $json.link }}
  - Headers: Add “User-Agent”: “Mozilla/5.0…”
Add HTML Extract Node
- Connect to HTTP Request node
- Configure:
  - Extraction Type: “CSS Selector”
  - CSS Selector: “article, .content, .post-content” (adjust for your blog)
  - Return: “Text”

Step 4: Generate Platform-Specific Content with AI

Add OpenAI Node (Twitter Content)

Connect to HTML Extract node

Configure:

Resource: “Text”
Operation: “Complete”
Model: “gpt-3.5-turbo”
Prompt:

Based on this blog post, create an engaging Twitter thread (3-5 tweets):

Blog Title: {{ $node["RSS Feed Read"].json["title"] }}
Blog Content: {{ $json.extractedText }}

Requirements:
- First tweet should be a hook with the main insight
- Include relevant hashtags
- Keep each tweet under 280 characters
- Include emojis where appropriate
- End with a call-to-action to read the full blog

Format as numbered tweets.

Add OpenAI Node (LinkedIn Content)

Duplicate the previous OpenAI node

Modify the prompt:

Transform this blog post into a professional LinkedIn post:

Blog Title: {{ $node["RSS Feed Read"].json["title"] }}
Blog Content: {{ $json.extractedText }}

Requirements:
- Professional tone, engaging hook
- 1300-3000 characters
- Include 3-5 relevant hashtags
- Add industry insights
- Include call-to-action to read full article
- Structure with line breaks for readability

Add OpenAI Node (Facebook Content)

Duplicate and modify for Facebook:

Create an engaging Facebook post from this blog content:

Blog Title: {{ $node["RSS Feed Read"].json["title"] }}
Blog Content: {{ $json.extractedText }}

Requirements:
- Conversational, engaging tone
- 500-1000 characters
- Include question to drive engagement
- Add 2-3 relevant hashtags
- Include call-to-action
- Use emojis appropriately

Step 5: Format and Structure Content

Add Function Node (Content Formatter)

Connect all OpenAI nodes to this node
Add this JavaScript code:

const twitterContent = $input.all().find(item => item.json.choices[0].message.content.includes('1.')).json.choices[0].message.content;
const linkedinContent = $input.all().find(item => item.json.choices[0].message.content.includes('#')).json.choices[0].message.content;
const facebookContent = $input.all().find(item => !item.json.choices[0].message.content.includes('1.') && !item.json.choices[0].message.content.includes('Requirements:')).json.choices[0].message.content;

return [
  {
    json: {
      platform: 'twitter',
      content: twitterContent,
      blogTitle: $node["RSS Feed Read"].json["title"],
      blogUrl: $node["RSS Feed Read"].json["link"],
      publishTime: new Date().toISOString()
    }
  },
  {
    json: {
      platform: 'linkedin',
      content: linkedinContent,
      blogTitle: $node["RSS Feed Read"].json["title"],
      blogUrl: $node["RSS Feed Read"].json["link"],
      publishTime: new Date().toISOString()
    }
  },
  {
    json: {
      platform: 'facebook',
      content: facebookContent,
      blogTitle: $node["RSS Feed Read"].json["title"],
      blogUrl: $node["RSS Feed Read"].json["link"],
      publishTime: new Date().toISOString()
    }
  }
];

Step 6: Split and Route to Platforms

Add Item Lists Node
- Connect to Function node
- This will split the array into individual items
Add IF Node (Platform Router)
- Connect to Item Lists node
- Create three branches:
  - Twitter: {{ $json.platform === "twitter" }}
  - LinkedIn: {{ $json.platform === "linkedin" }}
  - Facebook: {{ $json.platform === "facebook" }}

Add Twitter Node
- Connect to Twitter branch of IF node
- Configure:
  - Operation: “Create Tweet”
  - Text: {{ $json.content }}
Add LinkedIn Node
- Connect to LinkedIn branch
- Configure:
  - Operation: “Create Post”
  - Text: {{ $json.content }}
  - Visibility: “PUBLIC”
Add Facebook Node
- Connect to Facebook branch
- Configure:
  - Operation: “Create Post”
  - Message: {{ $json.content }}

Step 8: Add Monitoring and Notifications

Add Slack Node (Success Notification)

Connect all social platform nodes