This article provides a complete, practical walkthrough of the Http 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:
   Automated URL Monitoring with n8n: A Simple Workflow to Ping URLs Every 15 Minutes
   
   Meta Description:
   Learn how to create a low-code, no-fuss URL pinger using n8n that automatically checks the availability of your websites every 15 minutes. Discover how this efficient workflow improves uptime monitoring with minimal setup.
   
   Keywords:
   n8n, workflow automation, uptime monitoring, URL pinger, automation tools, HTTP request monitoring, low-code platform, ping website, scheduled task automation, n8n tutorial
   
   Third-Party APIs Used:
   - None (This workflow uses built-in n8n HTTP Request functionality and does not rely on external APIs apart from the user-specified URLs.)
   
   Article:
   
   Automated URL Monitoring with n8n: A Simple Workflow to Ping URLs Every 15 Minutes
   
   In today’s constantly-connected world, ensuring that a website or web service is available 24/7 is essential—whether you're managing a personal blog or a mission-critical SaaS application. But what if you could easily build an automated system to periodically check the status of your websites with little to no code?
   
   Enter n8n, a powerful workflow automation platform designed for both developers and non-developers. In this article, we’ll walk you through a simple n8n workflow that acts as a URL pinger—automatically sending HTTP requests to a list of URLs every 15 minutes. This automated solution is ideal for anyone looking to monitor uptime across multiple web resources with minimal overhead.
   
   Overview of the Workflow
   
   This workflow comprises four primary nodes:
   
   1. Schedule Trigger
   2. Set (URLs List)
   3. Split Out
   4. HTTP Request
   
   Each plays a vital role in ensuring your URLs are tested regularly and efficiently.
   
   Let’s break down each component.
   
   1. Schedule Trigger: The Heartbeat of the Workflow
   
   At the foundation of this workflow is the Schedule Trigger node. This node initiates the execution of the entire process every 15 minutes. You can easily adjust this interval through the node's settings, allowing you to ping URLs more or less frequently depending on your monitoring needs.
   
   In use cases where immediate website responsiveness is critical, a shorter interval can be set (e.g., every minute). But for general availability monitoring, a 15-minute cadence offers a balance between resource usage and timely updates.
   
   2. Set Node (URLs List): Defining What to Monitor
   
   After the workflow is triggered, it passes control to the Set node named “URLs List.” This is where you define the specific web addresses you'd like to monitor.
   
   In our example, this node contains a JSON array of three URLs:
   
   - http://firsturl.com
   - https://secondurl.com
   - https://thirdurl.com
   
   You're free to modify the array to include as many URLs as needed. This centralized configuration makes adding or removing endpoints a breeze.
   
   3. Split Out: Processing One URL at a Time
   
   Monitoring all URLs simultaneously might seem efficient, but breaking them into individual checks simplifies the process and makes logging and error handling cleaner. This is where the Split Out node comes into play.
   
   The Split Out node takes the array from the Set node and processes one URL at a time, passing it down the workflow as an individual JSON field. In our workflow, each object is split into a separate execution that proceeds to the HTTP Request node.
   
   This design is not only practical but modular—ideal for workflows that may evolve to include logging, alerting, or conditional logic later on.
   
   4. HTTP Request: Pinging the Target URLs
   
   The heart of the functionality is the HTTP Request node. This node receives a single URL from the Split Out node and sends an HTTP GET request to it.
   
   The option onError: "continueRegularOutput" ensures that even if a URL returns an error or times out, the workflow continues uninterrupted for the remaining URLs. This is particularly useful for monitoring environments where temporary outages might be expected or where you want a full report regardless of partial failures.
   
   What’s Next? Extending the Workflow
   
   Currently, this workflow pings URLs and executes without storing the response or alerting you if any are offline. But that's the beauty of n8n’s modularity—you can easily extend this workflow by:
   
   - Adding a condition node to check for non-200 status codes.
   - Sending alerts via email, Slack, or Telegram upon failure.
   - Logging each response into Google Sheets or a database.
   - Visualizing trends in downtime using another workflow or dashboard tool.
   
   Because it’s built in n8n, the same base workflow can evolve into a comprehensive monitoring system without requiring significant redevelopment.
   
   Why Use n8n for URL Monitoring?
   
   n8n provides a lightweight and fully open-source alternative to heavyweight monitoring solutions which may require more setup, offer limited flexibility without premium plans, or collect unnecessary data. You remain in full control of the flow logic, integrations, and configurations.
   
   In summary, the advantages include:
   
   - No-code setup for basic users
   - Ease of integration with third-party APIs and tools
   - Real-time automation and schedule-based execution
   - Scalability and modifiability according to your growing needs
   
   Conclusion
   
   With just four nodes and a simple configuration, this workflow checks all the boxes for a basic URL monitoring solution. Whether you want to keep tabs on a few sites or lay the groundwork for a more advanced feedback system, n8n offers the flexibility to scale.
   
   By combining scheduled execution, dynamic URL input, and HTTP requests, you can build an automated watchdog for your web properties—and have complete control over how it evolves.
   
   So why wait? Try implementing this workflow in your own n8n environment and ensure your web services are always one step ahead of downtime.
   
   — End —

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.