This article provides a complete, practical walkthrough of the Code Ghost Automation Triggered n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Intermediate setup in 15-45 minutes. One‑time purchase: €29.

What This Agent Does

This agent orchestrates a reliable automation between HTTP Request, Webhook, handling triggers, data enrichment, and delivery with guardrails for errors and rate limits.

It streamlines multi‑step processes that would otherwise require manual exports, spreadsheet cleanup, and repeated API requests. By centralizing logic in n8n, it reduces context switching, lowers error rates, and ensures consistent results across teams.

Typical outcomes include faster lead handoffs, automated notifications, accurate data synchronization, and better visibility via execution logs and optional Slack/Email alerts.

How It Works

The workflow uses standard n8n building blocks like Webhook or Schedule triggers, HTTP Request for API calls, and control nodes (IF, Merge, Set) to validate inputs, branch on conditions, and format outputs. Retries and timeouts improve resilience, while credentials keep secrets safe.

Third‑Party Integrations

• HTTP Request
• Webhook

Import and Use in n8n

1. Open n8n and create a new workflow or collection.
2. Choose Import from File or Paste JSON.
3. Paste the JSON below, then click Import.
4. Show n8n JSON

   Title:  
   From PDF to Polished Blog: Automating Content Creation with n8n and AI
   
   Meta Description:  
   Discover how an n8n workflow leverages AI to transform uploaded PDFs into SEO-optimized blog posts and auto-publish them to Ghost. Say goodbye to manual content creation.
   
   Keywords:  
   n8n automation, AI content generation, Ghost CMS, PDF to blog post, OpenAI GPT-4o, blog automation workflow, PDF extraction, publish to Ghost, automate blogging, content ops automation
   
   Third-Party APIs / Services Used:
   
   - OpenAI API (gpt-4o-mini) – for AI-driven post generation
   - Ghost Admin API – for automated publishing of blog drafts
   - LangChain – for handling structured output and formatting
   - n8n’s built-in Extract from File node – for PDF text extraction
   
   Article:
   
   📄 From PDF to Polished Blog: Automating Content Creation with n8n and AI 🔧
   
   In today’s digital landscape, content creation is a vital but time-consuming process. If you regularly work with reports, whitepapers, or any PDF-based content and want to repurpose it into blog posts, the typical manual workflow is tedious and inefficient.
   
   What if you could turn a static PDF into a structured, well-written, SEO-optimized blog post in minutes—without typing a single word?
   
   Enter the PDF2Blog workflow in n8n, a powerful automation that does exactly that.
   
   Let’s break down how this automated system works and why it’s a game changer for content creators, agencies, and businesses.
   
   🧩 What is the PDF2Blog Workflow?
   
   PDF2Blog is a custom n8n (an open-source automation tool) workflow that takes a PDF document, extracts its text, feeds it through OpenAI's GPT-4o language model, and formats the content into a structured blog post. The post is then published (in draft mode) to a Ghost CMS blog, ready for review or immediate publishing.
   
   The workflow consists of three primary stages:
   
   1. Upload PDF and Extract Text  
   2. Generate Structured Blog Post via AI  
   3. Publish to Ghost CMS  
   
   Let’s explore each stage in more detail.
   
   📤 Step 1: Upload and Extract – Turning PDFs Into Raw Text
   
   The workflow begins with a user-facing form created using n8n’s Form Trigger node. This form allows users to upload a .PDF file via web interface. It’s intuitive and only accepts valid PDF formats, ensuring clean input every time.
   
   Once uploaded, n8n’s built-in Extract from File node parses the PDF and extracts the textual content. This raw text forms the input for the AI model that will soon generate the blog post.
   
   🧠 Step 2: AI-Powered Content Creation with GPT-4o
   
   After text extraction, the workflow leverages LangChain’s integration with OpenAI’s GPT-4o-mini model. Using the Structured Agent node, the workflow prompts the language model with highly detailed instructions:
   
   - Create an SEO-friendly title under 10 words.
   - Generate blog sections including an introduction, 6–8 H2-structured chapters, and a conclusion.
   - Each section includes compelling content, quotes from source material, and appropriate HTML formatting like <p>, <h2>, and <blockquote> tags.
   
   The resulting output is a clean JSON object with two fields: "title" and "content".
   
   To ensure error-free processing, a custom JavaScript node called Separate Title & Content filters and sanitizes the output, removing any misformatted headings and catching potential issues like missing data or empty sections.
   
   🧪 Step 3: Quality Control and Publish to Ghost
   
   Before publishing, a conditional (If) node double checks that both title and content fields are populated. If valid, the blog post is automatically passed along to the Ghost CMS using the Ghost Admin API. Posts are uploaded in draft mode so a human editor can review before going live.
   
   If the validation check fails, the system gracefully exits and logs error details for debugging, ensuring a smooth experience for editors.
   
   🏗️ Why This Workflow Matters
   
   This automation solves several pain points:
   
   - Cuts down content creation time from hours to minutes
   - Ensures SEO best practices with minimal effort
   - Enables rapid repurposing of lengthy documents
   - Maintains content quality via outline structure and HTML formatting
   
   For marketing teams and publishers working at scale, PDF2Blog acts as a dynamic bridge between static documents and web-ready content.
   
   🔌 Integrations That Make It Work
   
   The workflow is powered by several robust third-party APIs:
   
   - OpenAI GPT-4o-mini: Generates high-quality written content with structured formatting
   - Ghost CMS Admin API: Publishes posts directly into your blog’s backend
   - LangChain: Enables structured output parsing and AI-agent prompts
   - n8n Extract from File: Parses text from uploaded PDF documents
   
   💡 Final Thoughts
   
   With very little setup, you can empower your team to go from dense PDFs to ready-to-publish blog content—automatically and at scale. Whether you're a content marketer, technical writer, or business ops professional, this n8n workflow represents a huge opportunity to streamline operations and boost productivity.
   
   In a world where content is still king, automation like PDF2Blog hands you the crown.
   
   🛠️ Ready to Deploy?
   
   If you're already using n8n and Ghost, this automation is plug-and-play with minimal configuration. Just connect your OpenAI and Ghost accounts, and start uploading PDFs.
   
   No writers block required.

5. Set credentials for each API node (keys, OAuth) in Credentials.
6. Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
7. Enable the workflow to run on schedule, webhook, or triggers as configured.

Tips: keep secrets in credentials, add retries and timeouts on HTTP nodes, implement error notifications, and paginate large API fetches.

Validation: use IF/Code nodes to sanitize inputs and guard against empty payloads.

Why Automate This with AI Agents

AI‑assisted automations offload repetitive, error‑prone tasks to a predictable workflow. Instead of manual copy‑paste and ad‑hoc scripts, your team gets a governed pipeline with versioned state, auditability, and observable runs.

n8n’s node graph makes data flow transparent while AI‑powered enrichment (classification, extraction, summarization) boosts throughput and consistency. Teams reclaim time, reduce operational costs, and standardize best practices without sacrificing flexibility.

Compared to one‑off integrations, an AI agent is easier to extend: swap APIs, add filters, or bolt on notifications without rewriting everything. You get reliability, control, and a faster path from idea to production.

Best Practices

• Credentials: restrict scopes and rotate tokens regularly.
• Resilience: configure retries, timeouts, and backoff for API nodes.
• Data Quality: validate inputs; normalize fields early to reduce downstream branching.
• Performance: batch records and paginate for large datasets.
• Observability: add failure alerts (Email/Slack) and persistent logs for auditing.
• Security: avoid sensitive data in logs; use environment variables and n8n credentials.

FAQs

Can I swap integrations later? Yes. Replace or add nodes and re‑map fields without rebuilding the whole flow.

How do I monitor failures? Use Execution logs and add notifications on the Error Trigger path.

Does it scale? Use queues, batching, and sub‑workflows to split responsibilities and control load.

Is my data safe? Keep secrets in Credentials, restrict token scopes, and review access logs.