This article provides a complete, practical walkthrough of the Code Schedule 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**:  
   Automate SEO Insights: Analyze Matomo Analytics with AI and Baserow Using n8n
   
   **Meta Description**:  
   Discover how to build a no-code workflow in n8n that fetches visitor data from Matomo, analyzes it using Meta-LLaMA via OpenRouter, and stores AI insights in Baserow. Perfect for data-driven SEO improvements.
   
   **Keywords**:  
   n8n workflow, Matomo analytics, SEO automation, Meta-LLaMA, AI analytics, OpenRouter, Baserow, visitor behavior analysis, website optimization, no-code SEO tool
   
   **Third-Party APIs Used**:
   
   1. Matomo Analytics API  
   2. OpenRouter API (for Meta-LLaMA model)  
   3. Baserow API
   
   ---
   
   ## Automate Website Analytics with AI: A Smart n8n Workflow for SEO Insights
   
   If you're a blogger, marketer, or small business owner using Matomo for website analytics, you understand how invaluable it is to track user interactions and turn them into actionable insights. But what if you could automate that entire process—including the analysis and storage—using artificial intelligence, all within a no-code environment?
   
   This article walks you through an n8n workflow that connects Matomo, Meta-LLaMA (via OpenRouter), and Baserow to create a streamlined SEO reporting tool. Whether you're looking to identify popular pages, pinpoint visitor journeys, or enhance your content strategy, this system offers the capability—all without writing a single line of backend code.
   
   ---
   
   ### What This Workflow Does
   
   This n8n workflow is designed to automatically:
   
   1. Pull visitor data from Matomo for users who visited the site more than three times in the last 30 days.
   2. Format and send the data to an AI (Meta-LLaMA via OpenRouter) for analysis on:
      - Popular pages
      - Common visitor paths
      - Engagement behaviors
      - SEO improvement suggestions
   3. Store AI-generated insights into a Baserow database with date stamping for historical tracking.
   
   ---
   
   ### Step-by-Step Overview of the Workflow
   
   #### 1. Triggering the Automation
   The workflow can be initiated manually via a test trigger or scheduled to run weekly through the `Schedule Trigger` node. This makes it highly flexible for both testing and ongoing automated use.
   
   #### 2. Fetch Visitor Data from Matomo
   Using an HTTP request, the workflow calls Matomo’s API (Live.getLastVisitsDetails) to collect visit data from the past 30 days. It filters for users who have visited more than three times, extracting key fields such as:
   - Visitor ID
   - Visit count
   - Visited page URLs
   - Time spent on each page
   - Page titles
   
   This ensures the AI sees only highly engaged visitor data—ideal for meaningful analysis.
   
   #### 3. Format the Data into a Prompt
   The data is parsed using a custom JavaScript snippet in the `Parse data from Matomo` node. It turns raw visitor data into a structured natural language prompt suited for large language models. The prompt clearly requests analysis on visitor behavior and includes direct questions about content performance and engagement trends.
   
   #### 4. Analyze with Meta-LLaMA AI on OpenRouter
   The prompt is sent via an authenticated HTTP request to OpenRouter’s API utilizing the Meta-LLaMA-3.1-70B-Instruct model. The role of AI here is defined as an SEO expert that interprets website analytics and provides insights and suggestions.
   
   #### 5. Save Results in Baserow
   Finally, the AI response is recorded in a Baserow table with three key parameters:
   - Date (current date of execution)
   - Note (AI-generated insights)
   - Blog (identifier for the site analyzed)
   
   This allows marketing teams or blog owners to track SEO insights over time and observe trends from previous analyses.
   
   ---
   
   ### Why This Matters for SEO
   
   Understanding repeat visitors and their site journeys enhances your ability to:
   - Better structure the information hierarchy
   - Focus on high-performing content
   - Reduce bounce rates by optimizing user flows
   - Generate SEO-optimized content based on actual user interest
   
   Manual reporting is often too slow to keep up with fast-paced content publishing. Automating the interpretation of analytics data ensures real-time, actionable feedback—something invaluable for growth-driven marketers.
   
   ---
   
   ### Getting Started
   
   To make this workflow work for you:
   
   1. Insert your Matomo API token in the `Get data from Matomo` node.
   2. Set your OpenRouter API credentials as header authentication (remember to prefix with Bearer).
   3. Create a Baserow database with columns for Date, Note, and Blog.
   4. Activate the workflow and either run it manually or on a weekly schedule.
   
   Tour through the tutorial video or ready-to-deploy guide linked in the workflow’s sticky notes for further help.
   
   ---
   
   ### Final Thoughts
   
   In an age where data is the new oil, this workflow refines that raw oil into premium-grade insights. By leveraging a no-code tool like n8n along with trusted platforms like Matomo, OpenRouter, and Baserow, you can make smarter site decisions, automate tedious tasks, and ensure your SEO strategy is always data-driven.
   
   Whether you're running an independent blog or managing a commercial site, this n8n workflow is a powerhouse for your analytics toolkit.
   
   —
   
   🎥 Watch how to set it up: [YouTube Tutorial](https://www.youtube.com/watch?v=hGzdhXyU-o8)  
   🛠 Download the agent system: [Get My SEO AI Agent](https://2828633406999.gumroad.com/l/rumjahn)  
   🧠 Learn more: [Read the full guide](https://rumjahn.com/how-to-create-an-a-i-agent-to-analyze-matomo-analytics-using-n8n-for-free/)

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.