This article provides a complete, practical walkthrough of the Googleanalytics Code Automate Scheduled 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:
   Automated Weekly Google Analytics Reporting with n8n: A No-Code Solution by AlexK1919
   
   Meta Description:
   Discover how to automate your Google Analytics reporting using n8n. This workflow, created by AI-native automation architect Alex Kim, extracts weekly user, search, and engagement data—delivers insights straight to your inbox.
   
   Keywords:
   Google Analytics automation, n8n workflow, automated SEO reports, weekly GA4 report, Google Search Console automation, workflow automation, no-code reporting tool, website analytics report, page engagement stats, country views tracking, AlexK1919
   
   Third-Party APIs Used:
   
   - Google Analytics 4 API (GA4)
   - Google Search Console (via GA4 dimensions and metrics)
   - Gmail API
   
   Article:
   
   Automated Google Analytics Reporting in n8n: How AlexK1919 Streamlined Weekly Insights
   
   Google Analytics is a powerful tool for tracking user behavior, search performance, and geographic audience segmentation. But converting raw data into actionable weekly reports requires time-consuming manual effort—which is where automation can be transformative. In this guide, we’ll look at how Alex Kim, also known professionally as AlexK1919, created a fully automated n8n workflow to turn GA4 data into weekly email reports with minimal touchpoints.
   
   Who’s Behind This Workflow?
   
   Alex Kim is an AI-Native Workflow Automation Architect. His mission is to build productivity-enhancing automations that optimize both personal and business processes. With a deep expertise in n8n, Alex specializes in connecting APIs to deliver robust solutions without requiring traditional software development.
   
   Workflow Overview
   
   Alex’s workflow titled "Automate Google Analytics Reporting - AlexK1919" is designed in n8n, the open-source workflow engine. It fetches, processes, and formats data from Google Analytics to email a beautifully structured HTML report. The goal? Compare this week’s performance with the previous to identify trends and assess strategic outcomes.
   
   Key Workflow Components
   
   Let’s break down how this n8n workflow functions:
   
   1.⚙️ Trigger Nodes:
   
   The automation can be initiated in two ways:
   - A manual trigger (when clicking "Test workflow")
   - A schedule trigger for fully automated weekly execution
   
   Both triggers launch data retrieval operations from Google Analytics.
   
   2.📊 Data Sources Queried:
   
   The workflow uses authenticated access to the Google Analytics 4 (GA4) API to pull three major datasets:
   
   - Page Engagement Stats: Retrieves metrics such as page views, active users, views per user, and event count.
   - Search Console Data: Includes metrics like engagement rate, CTR, impressions, average search position, and organic Google search clicks.
   - Country Views: Provides breakdowns of users, sessions, and engagement rates by geographic location.
   
   These are pulled twice—once for the current week and again for the previous week—to create a comparative dataset.
   
   3.📦 Data Parsing and Transformation:
   
   Each raw GA4 response includes multiple nested arrays. These are parsed and simplified using multiple n8n Code nodes with custom JavaScript that perform the following:
   
   - Validate and clean rows
   - Normalize data types
   - Encode and compress the data into URL strings for transport within the workflow
   - Apply error handling for edge cases like empty or malformed data
   
   4.📈 Data Aggregation:
   
   Once parsed, a single Code node named Aggregate Data decodes all URL strings and structures them into a unified JSON object categorized by theme:
   - engagementStats (thisWeek vs. priorWeek)
   - searchResults (thisWeek vs. lastWeek)
   - countryViews (thisWeek vs. lastWeek)
   
   5.📑 Formatting as Rich HTML:
   
   The Format Data node takes the structured JSON and uses HTML templating (via JavaScript templates) to generate visually appealing tables. The final format includes headers, color-coded sections, and metrics like:
   
   - Page Views and Event Counts
   - Average Position in Google Search
   - Click-Through Rates
   - Country-based audience segmentation
   
   6.📬 Delivery via Gmail:
   
   The final step uses Gmail’s API with OAuth2 authentication to send an email from "Alex Kim" to his business email. The subject line dynamically reflects the report’s date, and the email body includes the HTML content generated in the earlier step.
   
   This step ensures weekly reports land straight into the inbox automatically—ready for decision-makers to review.
   
   Benefits of this Automation
   
   - Time-Saving: Eliminates repetitive manual reporting tasks
   - Error-Free Calculations: Scripts handle all formatting and calculations
   - Comparative Insight: Dual-week comparison reveals performance shifts
   - Scalable: Easily modified to track new KPIs or send to multiple recipients
   - No Coding Needed: Built entirely inside a visual workflow editor, n8n
   
   How to Use It
   
   To use a modified version of this workflow:
   - Setup Google Analytics OAuth2 credentials inside n8n
   - Choose your GA4 Property ID (e.g. from a website or app)
   - Connect Gmail OAuth2 credentials for delivery
   - Customize your reporting metrics and email formatting if needed
   
   Credit and Inspiration
   
   AlexK1919’s workflow builds upon a public example from Keith Rumjahn, who published a popular guide on leveraging AI and automation for SEO analytics. Alex has taken the concept further by introducing modular code nodes, added error handling, and formatting logic for cleaner reporting.
   
   Final Thoughts
   
   This n8n workflow exemplifies the power of no-code tools when combined with API integrations and a bit of creative scripting. In just a matter of minutes, you can transform messy analytic datasets into executive-ready reports delivered on autopilot.
   
   Whether you're a digital marketer, SEO specialist, or entrepreneur, workflows like these can save hours a week and ensure you're always operating from a place of data confidence.
   
   To see more of Alex’s automation projects, visit his link beacon at https://beacons.ai/alexk1919.
   
   — Written by your AI assistant, based on the "Automate Google Analytics Reporting - AlexK1919" workflow in n8n.

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.