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:
   Automating SEO Insights: An n8n Workflow to Analyze Umami Analytics With AI and Store in Baserow
   
   Meta Description:
   Discover how this no-code n8n workflow automatically pulls weekly analytics from Umami, sends it to OpenRouter AI for SEO insights, and stores the analysis in Baserow—all without manual intervention.
   
   Keywords:
   n8n workflow, Umami analytics, OpenRouter AI, SEO automation, Baserow, no-code data automation, weekly analytics, automate SEO reports, Llama 3 AI, Umami API, SEO with AI, data-driven content optimization
   
   —
   
   Article:
   
   In the ever-evolving digital space where content strategy and user engagement reign supreme, website owners and marketers are constantly searching for new ways to monitor performance and improve SEO. But manually interpreting web analytics, drawing actionable insights, and logging reports can be time-consuming—especially when done on a recurring basis.
   
   This is where no-code automation tools like n8n shine. By connecting your analytics platform, an AI assistant, and a database tool, you can unlock a fully automated SEO insights pipeline. In this article, we’ll walk through an n8n workflow that:
   
   - Fetches weekly analytics from Umami (a privacy-focused analytics platform),
   - Sends the data to an AI model for insights and recommendations,
   - Saves the results automatically to a Baserow database for historical tracking.
   
   Let’s explore how it all works.
   
   ‍
   
   📌 Overview: What This Workflow Does
   
   The "Umami Analytics Template" built in n8n delivers a seamless solution that includes:
   
   1. Automated data fetching from Umami every week.
   2. Two sets of analytics: summary stats and page-specific performance.
   3. Summarization and comparative analysis by OpenRouter AI using Meta’s LLaMA 3.1 70B Instruct model.
   4. Automatic writing of results including markdown tables and improvement suggestions to a Baserow database.
   
   This setup allows you to keep track of what’s working on your website, how it's evolving over time, and how to improve—all without lifting a finger after initial setup.
   
   ‍
   
   🔗 Workflow Components Explained
   
   1. ⏰ Trigger: Schedule or Manual Test
   
   The process starts with two triggers:
   - Manual trigger for workflow testing.
   - Scheduled trigger that runs weekly (configured to run every Thursday).
   
   2. 📊 Fetching Data from Umami
   
   The workflow sends HTTPS GET requests to the Umami API using authorized headers to fetch:
   - Summary stats for the past 7 days: pageviews, visitors, visits, bounces, and total time on site.
   - This week's and last week's page-specific performance using their respective time filters to track changes weekly.
   
   3. 🧠 Parsing and AI Analysis
   
   Once the data is received, it gets parsed and transformed into a simplified format using the built-in Code (JavaScript) node. This encoded JSON is passed into OpenRouter’s AI API endpoint (Meta LLaMA 3.1-70b instruct model) with this prompt logic:
   
   - First, summarize the general stats.
   - Then compare this week’s and last week’s page metrics.
   - Present both in markdown tables and provide five actionable SEO suggestions.
   
   4. 📥 Saving Results to Baserow
   
   Finally, all the intelligence received from the AI is stored neatly in a Baserow table. The table includes:
   - Date of the report
   - Summary of high-level stats
   - Page-by-page insights and AI suggestions
   - Blog name reference
   
   The setup ensures SEO teams and content managers can monitor organic traction and performance drivers in one centralized database over time.
   
   ‍
   
   🧰 Tools Involved & Setup Notes
   
   Here are some notable services and APIs integrated into this system:
   
   Third-Party APIs Used:
   1. Umami API – For retrieving web analytics data from your website.
   2. OpenRouter API – To access Meta’s LLaMA 3.1 70B Instruct model for natural language processing and SEO analysis.
   3. Baserow API – To store results as structured data records.
   
   Credentials required:
   - API keys and HTTP Authorization headers for both OpenRouter and Umami endpoints.
   - Registered connection to your Baserow workspace and database table.
   
   This workflow assumes:
   - You have an Umami instance linked with your site.
   - You've set up Baserow with relevant fields like Date, Summary, Top Pages, and Blog Name.
   - You’re authorized in OpenRouter and have an API key to use their AI completions endpoint.
   
   ‍
   
   📊 The Result: Weekly Automated SEO Insights
   
   With this workflow in place, you get timely visibility into how your website is performing—no manual exports, data cleaning, or interpretation required. The AI not only gives you a snapshot of current performance but also compares it against your previous week’s data to highlight trends and drop-offs.
   
   These insights, combined with markdown formatting for clean display and strategic recommendations, empower you to make data-backed content decisions faster and more effectively.
   
   ‍
   
   ✅ Why This Matters for Content Strategy
   
   SEO is both art and science. While tools like Umami can show you the raw numbers, the real value comes in interpretation. By bringing in AI to analyze trends in page performance and bounce behavior, this workflow becomes a true SEO assistant, steering your content team toward growth opportunities.
   
   More importantly, because it’s built using n8n’s no-code platform, anyone from solopreneurs to digital marketing teams can scale its logic and customize it as needed—without writing complex scripts.
   
   ‍
   
   📚 Learn More
   
   - Explore the official Umami API docs
   - Check out this in-depth case study on automating Umami insights
   - Get your own SEO A.I. Agent template from Gumroad
   
   Ready to reduce the time spent on analytics and increase the time spent implementing improvements? Then this n8n template might just be your next growth hack.
   
   —
   
   By combining the power of n8n for workflow automation, Umami for privacy-first web analytics, OpenRouter AI for natural-language/meta-analytics, and Baserow for structured data storage, this workflow delivers a smart, scalable SEO insights engine anyone can use.
   
   

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.