This article provides a complete, practical walkthrough of the Postgres Code Automation Webhook 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:  
   Automating WordPress Blogging with GPT-4 and n8n: A No-Code AI Content Pipeline
   
   Meta Description:  
   Discover how to automate high-quality WordPress content creation using GPT-4, n8n, PostgreSQL, and WordPress Media API. Publish expert-level blog posts around the clock—without writing a single line of code.
   
   Keywords:  
   WordPress automation, n8n workflow, GPT-4 blog generation, AI blog writer, auto blogging, OpenAI GPT-4, PostgreSQL blog tracking, n8n WordPress integration, no-code content automation, WordPress REST API
   
   Third-party APIs Used:
   
   1. OpenAI Chat API (GPT-4 / GPT-4-mini)
   2. WordPress REST API (/wp-json/wp/v2)
   3. PostgreSQL (via n8n PostgreSQL node)
   4. Placehold.co API (for generating cover images)
   
   —
   
   Article:
   
   Automating WordPress Blogging with GPT-4 and n8n: A No-Code AI Content Pipeline
   
   Creating consistent, high-quality content is one of the biggest challenges facing bloggers, marketers, and niche site operators. Manual writing can be slow, expensive, and hard to scale. Fortunately, with no-code automation tools and modern AI, you can fully automate this process—from topic generation to article publishing—without sacrificing quality.
   
   In this article, we'll explore a sophisticated WordPress blog automation system built using n8n, GPT-4, PostgreSQL, and the WordPress REST API. This end-to-end workflow intelligently selects niche-relevant categories, writes unique expert-grade articles, generates cover images, and publishes the content—all on autopilot.
   
   Let’s break down how it works.
   
   📅 Automated Scheduling
   
   At the heart of the system is a Schedule Trigger node in n8n. This allows you to run the workflow automatically every few hours—keeping your blog fresh with new content even while you sleep.
   
   🧠 Intelligent Category Selection
   
   The workflow begins by fetching all available WordPress categories via the public REST API endpoint. It then filters out excluded categories (such as reviews or non-AI-friendly content) and selects the least-used category from a PostgreSQL tracking table. This ensures content diversity while avoiding repetition.
   
   This table is designed to keep track of when each category was last used. The upsert operation keeps the history up to date and enables the system to rotate topics intelligently.
   
   📝 Smart Headline Generation with GPT-4
   
   Once a category is selected, the workflow queries the database for the 10 latest article titles in that niche. This historical data is then passed into GPT-4-mini using n8n’s LangChain integration.
   
   The prompt instructs GPT to propose a new, highly relevant blog post title. The AI is guided to avoid duplications, focus on practical subtopics, and maintain a professional, insightful tone. Results are clean, concise, and ready-to-publish.
   
   ✍️ Full Article Writing in WordPress Format
   
   The final blog content is written by GPT-4 using a predefined article structure in native WordPress blocks:
   
   - WordPress paragraph blocks
   - H3 and H4 headings
   - Yoast SEO Table of Contents Block
   - Lists and CTA sections
   
   The AI carefully adheres to this block structure, ensuring compatibility with WordPress visual editors and enhancing SEO readiness.
   
   🎨 Cover Image Generation and Upload
   
   To make each article visually appealing, a placeholder cover image is automatically generated using the external API Placehold.co. It renders customized text based on the category and title.
   
   The image is then downloaded, attached to the post via the WordPress Media API (/media), and integrated as the featured image in the final post.
   
   📦 Merging Assets into a Final Post
   
   At this point, the workflow has all necessary components:
   
   - The category ID
   - The AI-generated title
   - The full HTML content
   - The uploaded image ID
   
   These are merged into a single JSON object that conforms to WordPress’s /posts API schema. The post is then published immediately, completing the content cycle.
   
   📈 Updating the Usage DB
   
   After publishing, the system updates the PostgreSQL table by logging the used category, title, and timestamp. This ensures accurate tracking and intelligent topic rotation for subsequent articles.
   
   🛠 Easy Setup Requirements
   
   To run this workflow, you’ll need:
   
   - A live WordPress site with REST API access
   - n8n installed (self-hosted or cloud)
   - A PostgreSQL database and user (minimal SQL setup provided)
   - API credentials for OpenAI and WordPress
   
   A Config node allows you to easily swap out your domain name, and sticky notes throughout the n8n workflow provide helpful documentation.
   
   🚀 Benefits of This Automation
   
   - Publishes high-quality content 24/7
   - Scales effortlessly across categories
   - Keeps content fresh and SEO-optimized
   - Requires no human intervention after setup
   - Easily extendable with tags, internal linking, or analytics
   
   💡 Who Is This For?
   
   This system is perfect for:
   
   - Niche site operators
   - Content marketers
   - SEO professionals
   - WordPress developers
   - Agencies managing multiple blogs
   
   Whether you’re managing one site or a portfolio of content properties, this workflow gives you massive leverage with minimal code.
   
   —
   
   Final Thoughts
   
   With the power of GPT-4 and tools like n8n, content automation has entered a new era. By combining AI generation, smart database tracking, and no-code workflow orchestration, you can build an intelligent blog engine that never sleeps.
   
   The workflow is modular, well-documented, and completely customizable. Ready to tap into AI-driven publishing? Set it up once—and let your domain do the talking.
   
   Let the machine write while you build.

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.