This article provides a complete, practical walkthrough of the Googleanalytics 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:
   Automating Weekly SEO Analysis Using n8n, Google Analytics, OpenRouter AI & Baserow
   
   Meta Description:
   Discover how to automate your weekly SEO performance reporting using n8n, Google Analytics 4, OpenRouter AI, and Baserow. Learn how this no-code workflow analyzes, compares, and stores critical page, search, and country engagement metrics.
   
   Keywords:
   n8n SEO automation, Google Analytics GA4, SEO performance reporting, OpenRouter AI, Baserow automation, weekly analytics workflow, AI SEO suggestions, n8n workflow tutorial, automated SEO analysis
   
   Third-Party APIs Used:
   
   - Google Analytics GA4 API (via n8n Google Analytics Node)
   - OpenRouter AI API (using Meta Llama 3.1 70B Instruct model)
   - Baserow API (Database and Table Creation/Insertion via n8n Integration)
   
   Article:
   
   Automating SEO Analysis with n8n, Google Analytics, OpenRouter AI, and Baserow
   
   In the fast-paced world of digital marketing, staying on top of your website’s SEO performance requires constant tracking, analysis, and iteration. But what if you could automate this process—every week—without writing complex backend code? That’s exactly what this powerful n8n workflow achieves by leveraging Google Analytics 4 (GA4), OpenRouter AI, and Baserow.
   
   In this article, we break down a real-world no-code solution that fetches weekly metrics, compares them with past data, uses AI to generate smart insights, and stores them in a structured database.
   
   Overview of the Workflow
   
   This n8n workflow titled "Google Analytics Template" automates weekly SEO performance monitoring and analysis across three key dimensions:
   
   1. Page engagement metrics (e.g., page views, active users)
   2. Search performance data (e.g., clicks, impressions, CTR)
   3. Country-level audience analytics
   
   Each of these dimensions is captured both for the current and prior week, sent to an AI model for interpretation, and then stored in Baserow for archiving or dashboard use.
   
   Let’s break down the process.
   
   1. Trigger & Scheduling
   
   The workflow starts with a dual-trigger setup:
   - A Schedule Trigger executes the workflow weekly.
   - A Manual Trigger is included for testing the flow manually.
   
   This ensures automation while offering flexibility for testing and refinement.
   
   2. Data Collection: Google Analytics Integration
   
   The workflow integrates with the Google Analytics Data API v1 to retrieve metrics for the current and previous week. It uses a Google Analytics OAuth2 credential previously set up in n8n.
   
   The data retrieved include:
   
   - Page metrics: activeUsers, screenPageViews, viewsPerUser, eventCount by unifiedScreenName
   - Search metrics: organic clicks, impressions, engagement, CTRs by landingPagePlusQueryString
   - Country engagement: users, newUsers, sessions, engagement per country
   
   Each API response is then parsed and transformed from raw format into simplified JSON structures using custom JavaScript code nodes. This step makes the data easier to transmit and interpret downstream.
   
   3. AI-Powered SEO Insights
   
   Perhaps the most exciting part of this workflow is its integration with OpenRouter’s AI platform (via OpenRouter’s API), using a state-of-the-art large language model: Meta Llama 3.1 70B - Instruct.
   
   For each of the three metrics categories (page, search, country), the workflow does the following:
   
   - Sends the current and prior week's JSON data to the AI in a structured prompt.
   - Asks the AI to compare the data and summarize it in Markdown format.
   - Requests 5 actionable SEO improvement ideas based on the trends and insights discovered.
   
   Each prompt is carefully engineered to work with markdown editors, helping digital marketers easily embed results into reports, Notion pages, or marketing blogs.
   
   Authorization: The API calls use HTTP Header Auth with the key provided by OpenRouter (Bearer token included in headers).
   
   4. Data Storage: Baserow Integration
   
   Finally, the AI-generated markdown outputs are sent into a pre-configured Baserow database. The Baserow table is customized with relevant fields such as:
   
   - Blog name
   - Country views insights
   - Page insights
   - Search performance insights
   - Timestamp
   
   This allows users to track changes over time, introduce structured review processes, or build visual dashboards connected to Baserow.
   
   Zero-Code and Highly Customizable
   
   Though it may look complex, the workflow is entirely no-code and modular. Users can:
   - Customize which GA4 dimensions/metrics to pull.
   - Change the AI prompt to suit different SEO goals.
   - Connect to other databases or dashboards besides Baserow.
   
   Documentation links embedded in sticky notes within the workflow provide guidance for:
   - Setting up Google Analytics credentials
   - Finding the correct GA4 Property ID
   - Adding OpenRouter API credentials
   - Structuring the Baserow table schema
   
   Why This Workflow Matters
   
   SEO data is plentiful but oftentimes underutilized. Most marketers lose time switching between platforms and manually comparing metrics. By combining n8n’s workflow automation, Google’s robust analytics, and OpenRouter’s AI reasoning capabilities, this solution provides:
   
   ✅ Consistent weekly monitoring  
   ✅ Actionable AI recommendations  
   ✅ Centralized archival in a database  
   ✅ Markdown-friendly reports (for blogs, newsletters, or Google Docs)  
   ✅ Scalable setup, easy to extend
   
   What’s Next?
   
   If you're already using GA4 and want a smarter, low-maintenance way to assess your website’s performance, try replicating this workflow. Whether you're a solo blogger, a digital marketing agency, or a SaaS platform, it provides a great balance of automation, insight, and customization within a no-code environment.
   
   To explore this in detail, or clone the workflow, read the original developer's blog on how this system was built: [How I Used AI to Become an SEO Expert](https://rumjahn.com/how-i-used-a-i-to-be-an-seo-expert-and-analyzed-my-google-analytics-data-in-n8n-and-make-com/)
   
   Automate smarter. Analyze deeper. SEO made effortless.
   
   —  
   Written by your AI Assistant.

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.