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Summarize Umami data with AI (via Openrouter) and save it to Baserow

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Summarize Umami data with AI (via Openrouter) and save it to Baserow preview
Open on n8n.io

Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Who's this for? Anyone who wants to improve the SEO of their website Umami users who want insights on how to improve their site SEO managers who need to generate reports weekly ![Screenshot 2024110...

Best for

  • Market Research automation workflows
  • AI Summarization automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.manualtrigger, n8n-nodes-base.scheduletrigger, n8n-nodes-base.httprequest, n8n-nodes-base.stickynote, n8n-nodes-base.code, n8n-nodes-base.baserow

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Keith Rumjahn.

Original n8n.io source

1.1 Workflow description

Title
Summarize Umami data with AI (via Openrouter) and save it to Baserow
Workflow name
Summarize Umami data with AI (via Openrouter) and save it to Baserow

Who's this for?

  • Anyone who wants to improve the SEO of their website
  • Umami users who want insights on how to improve their site
  • SEO managers who need to generate reports weekly

Case study

Watch youtube tutorial here

Get my SEO A.I. agent system here

How it works

  • This workflow calls the Umami API to get data
  • Then it sends the data to A.I. for analysis
  • It saves the data and analysis to Baserow

How to use this

  • Input your Umami credentials
  • Input your website property ID
  • Input your Openrouter.ai credentials
  • Input your baserow credentials
  • You will need to create a baserow database with columns: Date, Summary, Top Pages, Blog (name of your blog).

Future development

  • Use this as a template. There's alot more Umami stats you can pull from the API.
  • Change the A.I. prompt to give even more detailed analysis.

Created by Rumjahn

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - When clicking ‘Test workflow’

Type / Role
n8n-nodes-base.manualTrigger - manualTrigger
Config choices
Version 1

Block 2 - Schedule Trigger

Type / Role
n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices
Version 1.2

Block 3 - Get view stats from Umami

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 4 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 5 - Sticky Note1

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 6 - Sticky Note2

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 7 - Sticky Note3

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 8 - Sticky Note4

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 9 - Sticky Note5

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 10 - Parse Umami data

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 11 - Send data to A.I.

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 12 - Get page data from Umami

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4

Block 13 - Parse Umami data1

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 14 - Get page view data from Umami

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4

Block 15 - Parse Umami

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 16 - Send data to A.I.1

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 17 - Save data to Baserow

Type / Role
n8n-nodes-base.baserow - baserow
Config choices
Version 1

3. Summary Table

Workflow Summarize Umami data with AI (via Openrouter) and save it to Baserow
Complexity advanced
Nodes 17
Categories Market Research, AI Summarization
Author Keith Rumjahn
Published 02 Nov 2024

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/2520/2520.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does Summarize Umami data with AI (via Openrouter) and save it to Baserow do?

Who's this for? Anyone who wants to improve the SEO of their website Umami users who want insights on how to improve their site SEO managers who need to generate reports weekly ![Screenshot 2024110...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Market Research, AI Summarization use case.