This article provides a complete, practical walkthrough of the Splitout 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:  
   Put Your WordPress Tags on Autopilot Using AI and n8n
   
   Meta Description:  
   Learn how to automatically generate and apply AI-powered tags to WordPress blog posts from an RSS feed using n8n and OpenAI. Automate content categorization without manual effort.
   
   Keywords:  
   WordPress automation, n8n workflow, auto-tagging, OpenAI, content tagging, blog automation, workflow automation, SEO tags, AI content management, WordPress AI tagging
   
   —
   
   Automating WordPress Tagging with AI: An n8n Workflow Deep Dive
   
   As content creators and marketers scale their digital presence, manual post-tagging on WordPress often becomes a repetitive and time-consuming task. Proper tagging is crucial for search engine optimization (SEO), content discoverability, and maintaining an organized site structure.
   
   Fortunately, automation tools like n8n combined with AI services such as OpenAI enable users to offload content categorization tasks with minimal human input. In this article, we’ll break down an intelligent n8n workflow that reads blog posts from an RSS feed, analyzes their contents using AI, generates meaningful tags, and dynamically updates a WordPress site — all without lifting a finger.
   
   Let’s explore how this elegant automation works and why it’s so powerful.
   
   🛠 Workflow Overview
   
   The workflow titled “Auto-Tag Blog Posts in WordPress with AI” connects multiple powerful nodes to achieve a smart blog-post-tagging mechanism. At a high level, it performs the following tasks:
   
   1. Reads new blog posts via RSS feed.
   2. Extracts article title and content.
   3. Sends the content to OpenAI to generate 3-5 contextually relevant tags.
   4. Compares these tags with existing WordPress taxonomy.
   5. Posts new tags to WordPress where necessary.
   6. Publishes a WordPress post with the generated tag IDs automatically linked.
   
   All of this occurs automatically: no spreadsheets, no dropdown lists, no WordPress backend navigation.
   
   🧠 How AI Suggests Tags
   
   At the heart of this workflow is the “Generate Tags for Article” node, which uses OpenAI’s GPT model to process article content and suggest relevant tags in Title Case. The AI is prompted with rules ensuring semantic accuracy and formatting consistency.
   
   To ensure the tags fit neatly into structured formats, the workflow includes an “Auto-Fixing Output Parser” and a “Structured Output Parser” to convert the AI’s suggestions into JSON — ideal for compatibility with WordPress’s API.
   
   ⚙ Matching and Creating Tags in WordPress
   
   Once the tags are generated, the workflow cross-references them with existing WordPress tags by sluggifying the names (converting “Machine Learning” to “machine-learning”) and making API calls to check for their existence.
   
   - If a tag is missing, the “POST WP Tags” node creates it dynamically via WordPress REST API.
   - If tags already exist, the workflow fetches their IDs using the “GET WP Tags” node and matches them accordingly.
   
   📰 RSS Feed as Trigger
   
   The workflow is triggered by a constantly polling “RSS Feed Trigger” node. This node fetches the latest blog entries from a given feed – perfect for syndicating your own blog or curating external content.
   
   Each article is passed through the loop to analyze, tag, and prepare for reposting or internal archiving.
   
   📝 Final WordPress Post Creation
   
   After gathering all relevant tag IDs and mapping them into a final structure, the “WordPress” node creates a new post titled "Demo tagging post: [Title]" with the original content prepended by an AI annotation and the new tags applied.
   
   This smoothens not just content organization, but also enables you to apply consistent tagging conventions across a content portfolio.
   
   🔄 Reusability and Flexibility
   
   This workflow is modular and agnostic to the type of content being processed. Here are a few customization ideas:
   
   - Rewrite or summarize the post using OpenAI before re-posting.
   - Extend it for categories and custom taxonomies.
   - Use it as a subworkflow triggered by multiple RSS sources.
   - Modify the tag format — e.g. convert to camelCase or keep in lowercase for slugs.
   
   🔍 What Problems Does This Solve?
   
   - Manual effort spent tagging posts.
   - Inconsistencies in how tags are generated or applied.
   - Missed SEO opportunities due to generic or missing tags.
   - Poor internal link structure from under-tagged content silos.
   
   With this automation in place, your WordPress site benefits from consistent tagging best practices even as publishing volume increases.
   
   🌐 Third-Party APIs Used
   
   - OpenAI API  
     Used to generate context-driven suggested tags for articles using GPT-based models.
     
   - WordPress REST API  
     Used to fetch existing tags, create new ones, and publish blog posts enriched with AI-generated tag metadata.
   
   📌 Final Thoughts
   
   This n8n workflow by maker Ludwig Gerdes is a game-changer for content operations. It automates a task traditionally plagued by inconsistency and tedium and gives users a plug-and-play template to scale their content management game.
   
   With just minor customization, you can evolve it into a full-featured content pipeline that curates, enriches, and publishes content automatically. Your WordPress tags — and SEO health — will thank you.
   
   To get started, simply clone this workflow and plug it into your n8n instance. It’s ready to run either independently or as a subworkflow in a larger automation ecosystem.
   
   —
   
   Ready to put WordPress tagging on autopilot? Let AI and automation do the heavy lifting, while you focus on growing your brand.

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.