This article provides a complete, practical walkthrough of the Code Webhook 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 Docker Management with n8n: Inside the PUQcloud WHMCS API Workflow
   
   Meta Description:  
   Discover how PUQcloud’s n8n workflow automates Docker container and disk operations for WHMCS/WISECP integration. Learn about server orchestration, SSH scripting, and advanced API routing in one template.
   
   Keywords:  
   n8n workflow, Docker automation, PUQcloud, WHMCS Docker API, WISECP module, server orchestration, container management, DevOps automation, API backend, Docker container monitoring, SSH automation, dynamic provisioning, WHMCS plugin
   
   Third-Party APIs/Services Used:
   
   - n8n (Workflow Automation Platform)
   - Docker CLI (via SSH commands)
   - WHMCS / WISECP (external calling platforms, integration assumed via API)
   - SQLite (accessed via SSH from containers)
   - Basic HTTP Webhook (used for POST requests)
   - NGINX and Let’s Encrypt Companion (Dockerized reverse proxy services)
   - Bash CLI via SSH (extensive usage for file system and Docker control)
   - systemctl (used to check system services like Docker)
   - jq, awk, grep, sed, sqlite3 (Unix utilities executed via script)
   
   —
   
   Short Article:
   
   In the age of automation, seamless container orchestration can set your DevOps strategy apart. This is where the PUQcloud n8n workflow titled puq-docker-n8n-deploy takes center stage—a robust automation template that transforms Docker and server orchestration into a self-service operation controlled via a simple API call from WHMCS or WISECP. Let’s explore what makes this workflow a powerful tool for hosting providers, developers, and IT admins.
   
   What Is the puq-docker-n8n-deploy Workflow?
   
   The workflow is an n8n automation template developed by PUQcloud, aimed at setting up a complete Docker container management API backend. It enables hosting control panel users—like those on WHMCS or WISECP—to automate Docker operations such as container deployment, suspension, resume, stats retrieval, and even access controls, all through HTTPS API requests authenticated with basic auth.
   
   At its core, it translates an API POST request into secure SSH commands executed on a Docker host, handles file management, interacts with Docker Compose configurations, and returns real-time status updates.
   
   Key Features and Operations
   
   1. Webhook-Driven API Interface  
   The automation begins when a POST request is received at a secured webhook endpoint /docker-n8n. The request includes fields such as domain, disk size, RAM, CPU, and operation command (e.g., “create”, “mount”, “change_package”).
   
   2. Input Validation  
   The request is first checked to ensure it’s targeting the correct server domain (hardcoded into the initialization parameters). If the domain does not match, a 422 error response is returned.
   
   3. Container Lifecycle Management  
   Through the use of Docker Compose and SSH scripts, the workflow can:
   
   - Deploy new containers with persistent disk images
   - Mount/unmount associated storage volumes using /etc/fstab
   - Suspend or terminate containers
   - Change package resources dynamically (RAM, CPU, disk)
   - Start and stop running containers gracefully
   - Retrieve container logs, inspect & statistics
   - Perform Docker health checks on the system and dependency containers (like nginx-proxy)
   
   4. Fine-Grained Access Control  
   With a built-in ACL system for NGINX vhost management, the admin can control which IPs are allowed access to each container’s web endpoint. ACLs are synced between configuration files and applied directly via bash scripting.
   
   5. Dynamic Resource Provisioning  
   One of the standout features is the logic for on-the-fly mounting and creation of disk images for containers. This is achieved using Linux CLI utilities like fallocate, truncate, and resize2fs—all orchestrated over SSH from n8n.
   
   6. SQLite Database Integration  
   The workflow also reads from and writes to SQLite databases within the n8n containers to retrieve user data or set hashed passwords, offering database-level operations from an external API call—again all via SSH.
   
   How It Works at the Technical Level
   
   Each API request triggers an appropriate conditional switch in n8n, branching into Service Actions, Container Actions, or Stats/Inspect logic. From there, the relevant Shell command is dynamically composed using template syntax, passed to the SSH node, and executed directly on the server.
   
   The returned stdout from the SSH operation is parsed and structured into a JSON object using n8n's Code node, before finally being returned as the HTTP response.
   
   For instance, to deploy a new container, the workflow:
   
   - Creates directory structures
   - Writes a docker-compose.yml file
   - Initializes a disk image
   - Adds a mount entry to /etc/fstab
   - Mounts the image
   - Starts Docker Compose
   - Configures NGINX vhost rules
   
   All of this runs automatically, typically in under 10 seconds.
   
   Built for WHMCS/WISECP
   
   What makes this especially compelling is its seamless integration with WHMCS/WISECP. The workflow acts as the backend to a user-facing module, allowing resellers and admins to manage complex container infrastructure without logging into the server or even knowing Docker.
   
   Instead, they simply choose a plan/package from the billing panel, and the n8n workflow takes care of everything else—down to setting disk quotas and NGINX proxy rules.
   
   Conclusion
   
   The puq-docker-n8n-deploy workflow by PUQcloud is a textbook case of real-world automation—bridging infrastructure, hosting panels, and DevOps operations in one unified loop. Whether you're managing hundreds of microservices or just launching Docker containers on demand, this n8n template provides a secure, scalable, and developer-friendly interface to your container infrastructure.
   
   By transforming REST API calls into full-stack orchestration, this workflow encapsulates the spirit of automation in today’s cloud-native environments.
   
   For more information and setup instructions, visit the official documentation at https://doc.puq.info/books/docker-n8n-whmcs-module.

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.