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Send Matomo analytics data to A.I. to analyze then save results in Baserow

Keith RumjahnKeith Rumjahn
1193 views
2/3/2026
File ManagementGoogle DriveAutomationEmailAttachment
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Who's this for?

  • If you own a website and need to analyze your Matomo analytics data so you can increse the number of frequent visitors
  • If you need to create an SEO report on what are the common trends amongst your most frequent visitors
  • If you want to grow your site based on suggestions from data

Matomo is an analytics tool that can give you details of each individual visitor. Much more powerful than Google analytics.

Watch youtube tutorial here

Get my SEO A.I. agent system here

Screenshot 20241121 at 4.17.51 PM.png

Here's the A.I. output: Screenshot 20241121 at 4.26.07 PM.png

Keywords showing the most improvement:
Openrouter N8N.

Keywords needing attention:
Ai Generated Reference Letter

Obsidian Second Brain

Suggested actions for improvement: 
1. Optimize for "best Docker Synology" despite stable ranking, an improvement to top 10 is an achievable goal.

2. Since "2nd brain app for developer"  is of interest to a developer. Consider writing a blog post on how the app addresses the specific pain points of developers.

Use case

Instead of hiring an SEO expert, I run this report weekly. It looks at the data for the past week and looks for visitors with more than 3 visits and recommends ideas to convert more visitors into frequent visitors.

How it works

  1. The workflow gathers matomo analytics for the past 7 days.
  2. We then parse the data
  3. The data is sent to Openrouter and using a FREE LLM, it analyses the data.
  4. It stores the results in baserow

How to use this

  • Input your Matomo analytics credentials
  • Input your Matomo site ID
  • Input your Openrouter.ai credentials
  • Input your baserow credentials
  • You will need to create a baserow database with columns: Dates, Notes, Blog.

Created by Rumjahn

n8n Workflow: Fetch Matomo Analytics, Analyze with AI, and Save to Baserow

This n8n workflow automates the process of retrieving analytics data from Matomo, processing it with custom logic (potentially involving AI analysis), and then storing the results in a Baserow database. It simplifies the pipeline for gaining insights from your Matomo data and centralizing it for further use.

What it does

This workflow performs the following steps:

  1. Manual Trigger / Scheduled Execution: The workflow can be initiated manually by clicking 'Execute workflow' or automatically at scheduled intervals.
  2. Fetch Matomo Analytics Data: It makes an HTTP request to a Matomo API endpoint to retrieve analytics data.
  3. Process Data with Custom Code: The fetched data is then passed to a Code node, allowing for custom JavaScript logic to be applied. This step is designed for data transformation, filtering, or sending the data to an AI service for analysis (as hinted by the directory name).
  4. Save Results to Baserow: Finally, the processed data is stored in a Baserow table, enabling structured storage and further analysis or reporting.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running n8n instance to import and execute the workflow.
  • Matomo Instance: Access to a Matomo instance with the necessary API tokens to fetch analytics data.
  • Baserow Account: A Baserow account with an API token and a pre-configured database and table to store the results.
  • Custom Code Logic: Depending on your specific needs, you might need to write custom JavaScript code within the "Code" node for data processing or AI integration.

Setup/Usage

  1. Import the Workflow:

    • Download the provided JSON file for this workflow.
    • In your n8n instance, go to "Workflows" and click "New".
    • Click the three-dot menu (...) and select "Import from JSON".
    • Paste the JSON content or upload the file.

  2. Configure Credentials:

    • HTTP Request (Matomo): Edit the "HTTP Request" node. You will need to configure the URL for your Matomo API endpoint and any required authentication (e.g., API token in headers or query parameters).
    • Baserow: Edit the "Baserow" node. You will need to set up a Baserow credential with your API token and specify the database ID, table ID, and any other relevant fields for data insertion.

  3. Customize the Code Node:

    • Open the "Code" node. This is where you will implement your custom logic.
    • If you intend to send data to an AI for analysis, you would add the necessary API calls (e.g., to OpenAI, Google AI, etc.) within this node, process the AI's response, and format the output for Baserow.
    • Ensure the output of the Code node is structured in a way that the Baserow node can correctly interpret and save.

  4. Configure Trigger:

    • Manual Trigger: Simply click "Execute Workflow" to run it once.
    • Schedule Trigger: If you want the workflow to run automatically, configure the "Schedule Trigger" node with your desired interval (e.g., daily, hourly).

  5. Activate the Workflow: Once configured, activate the workflow to enable it to run.

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