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:  
   Deploy and Manage Immich with WHMCS/WISECP Using n8n and Docker: A Full Automation Workflow by PUQcloud
   
   Meta Description:  
   Learn how PUQcloud’s automated n8n workflow seamlessly integrates Dockerized Immich deployment with the WHMCS/WISECP ecosystem. Discover features like container lifecycle management, ACL handling, resource monitoring, and secure SSH execution.
   
   Keywords:  
   n8n workflow, Docker, Immich, PUQcloud, WHMCS module, WISECP, Immich deployment, container orchestration, automated hosting, ACL management, bash scripting, SSH automation, container stats, Docker container logs
   
   Third-Party APIs and Tools Used:
   
   - Docker Engine API: indirectly invoked via SSH commands to manage containers (docker ps, docker compose, etc.)
   - NGINX Proxy & Let’s Encrypt NGINX Proxy Companion: to handle reverse proxying and SSL provisioning
   - PostgreSQL (via dockerized pgvecto-rs): for Immich database operations
   - Redis (dockerized): for caching used by Immich
   - Immich Application: exposed via multiple containers including immich-server and immich-machine-learning
   - WHMCS and/or WISECP: external platforms integrated through this backend
   - SSH (via n8n SSH node): remote command execution for Docker and system-level operations
   
   —
   
   Article:
   
   Automated Immich Deployment with n8n: A Scalable and Managed Hosting Solution Powered by PUQcloud
   
   In the ever-evolving landscape of hosting automation, there’s a growing demand for lightweight but powerful workflows to manage containerized environments. PUQcloud’s latest innovation—an n8n-based backend automation template named "puq-docker-immich-deploy"—addresses just that. Specifically designed to integrate with WHMCS and WISECP billing systems, this template enables seamless creation, orchestration, and management of Immich photo gallery servers.
   
   Let’s explore how this robust automation workflow empowers hosting providers to deliver scalable, containerized Immich installations with just a few API calls.
   
   What Is Immich?
   
   Immich is a self-hosted photo and video backup solution, praised for its AI-powered image organization features. Hosting Immich for clients typically involves maintaining multiple Docker containers per instance, along with persistent storage—operations that become increasingly complex at scale.
   
   That’s where this n8n workflow comes in.
   
   Overview of the n8n Workflow
   
   This workflow serves as a backend API that integrates your WHMCS or WISECP module with Docker-managed Immich containers. It is designed around a webhook that listens for authenticated HTTP POST requests containing JSON payloads. These payloads carry commands such as test_connection, create, suspend, unsuspend, terminate, get logs, or even change packages.
   
   Key Features and Workflow Components
   
   1. Command Filtering & Validation
   Upon receiving a webhook call, the workflow validates whether the incoming server domain matches the predefined configuration. If validation fails, it terminates the process early by returning a 422 response code.
   
   2. Modular Command Handling
   Based on the received command, the workflow routes the execution path using Switch and If nodes, either for container actions (e.g., start, stop, mount_disk) or service-level operations like deploy, suspend, or unsuspend.
   
   3. SSH Command Execution
   A majority of system interactions—from checking Docker health to running compose commands—are done via the n8n SSH node. This ensures secure, granular command execution on a remote Docker host.
   
   4. Fully Managed Immich Deployment
   The ‘create’ and ‘unsuspend’ commands trigger an extensive Bash script which:
   - Generates docker-compose.yml based on client input (RAM, CPU, disk size, domain)
   - Creates mountable disk images
   - Sets up volume-mounted persistent storage
   - Configures NGINX virtual host entries
   - Starts the Docker containers and writes system status
   
   5. Lifecycle Management
   Other service commands allow for "suspend" (container shutdown & fstab removal), "terminate" (complete deletion), and "change_package" (modification of allocated resources including disk resize using truncate and resize2fs).
   
   6. Monitoring & Information Retrieval
   Administrative tasks like container inspection, usage stats (CPU, RAM, disk), logs, user querying from Postgres, network I/O tracking, and even container software version checks are also covered. Outputs are returned as formatted JSON.
   
   7. ACL (Access Control List) Handling
   Functions for GET/SET ACL allow administrators to dynamically manage allowed IP addresses and enforce ACL via NGINX config updates and reloading.
   
   Storage Architecture
   
   - clients_dir: Base path where user instance directories, including docker-compose.yml and disk images, are stored.
   - mount_dir: The runtime mountpoint for the data.img loopback disk (ext4), hosting libraries, cache, and database volumes.
   
   Robust Error Handling
   
   Each script executed over SSH includes proper error handlers to:
   - Log actionable messages
   - Return structured JSON error responses
   - Abort on fatal misconfigurations (e.g., Docker not running, missing directories, bad ACLs)
   
   Security and Authentication
   
   - The API webhook is protected via Basic Auth credentials.
   - All SSH commands are executed under controlled privilege escalation routines (often with sudo).
   - The workflow prevents tampering or unintended actions by tightly validating command parameters.
   
   Real-World Integrations
   
   This automation layer serves the backend for a WHMCS module by PUQcloud that aims to provide “Immich Hosting as a Service.” With minimal developer effort, module users can offer self-service provisioning, upgrades, or service suspensions to clients directly from their billing dashboard.
   
   Conclusion
   
   The "puq-docker-immich-deploy" workflow exemplifies how low-code platforms like n8n can act as powerful Infrastructure as Code stacks. By combining webhook APIs, conditional logic, shell commands via SSH, and Docker tooling, PUQcloud has built a solution worthy of production hosting environments.
   
   From seamless deployment to granular ACL control and advanced monitoring—this workflow takes Docker-hosted Immich management to a whole new level.
   
   Resources
   
   - Full Documentation: https://doc.puq.info/books/docker-immich-whmcs-module
   - WHMCS Module: https://puqcloud.com/whmcs-module-docker-immich.php
   
   By adopting this workflow, hosting providers can offer Immich services with enterprise-level automation, monitoring, and flexibility—without writing a single line of backend code.

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.