This article provides a complete, practical walkthrough of the Splitout Comparedatasets Sync 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 User Synchronization Between Microsoft Entra and Zammad with n8n
   
   Meta Description:
   Learn how to automate the synchronization of user data between Microsoft Entra and Zammad using a robust no-code workflow built in n8n. Keep your user directories aligned in real time—automatically create, update, or deactivate users seamlessly.
   
   Keywords:
   n8n, Microsoft Entra, Microsoft Graph API, Zammad, user synchronization, automation, no-code workflow, Zammad integration, Entra ID, user management, helpdesk automation
   
   Third-Party APIs Used:
   
   1. Microsoft Graph API (via Microsoft Entra ID / Azure Active Directory)
   2. Zammad REST API (authenticated through Token Auth)
   
   Article:
   
   Automating User Sync Between Microsoft Entra and Zammad Using n8n
   
   Managing multiple systems with overlapping user bases can be an ongoing challenge for IT administrators. Whether it's maintaining accurate records or ensuring speedy onboarding and offboarding, a disjointed approach can lead to inefficiencies and security risks. That’s where process automation platforms like n8n come into play.
   
   In this article, we’ll explore how to automate user synchronization between Microsoft Entra (previously Azure Active Directory) and Zammad—an open-source helpdesk and support ticketing system—using an n8n workflow. From creating new users to deactivating removed ones, this solution ensures your user directories are seamlessly aligned.
   
   🧩 Overview of the Workflow
   
   At its core, this workflow performs three major functions:
   
   1. Fetch users from a designated Microsoft Entra group.
   2. Compare this data with currently active Zammad users.
   3. Automatically create, update, or deactivate Zammad users accordingly.
   
   Let’s break down each step of this process and explore how different nodes and APIs come together in n8n to make this work.
   
   🟢 Step 1: Trigger & Fetch Initial Data
   
   The workflow begins with a Manual Trigger node ("When clicking ‘Test workflow’") to kick off the execution in a controlled environment. From there, data is collected from two critical sources:
   
   - Microsoft Entra: Using the Microsoft Graph API, n8n retrieves a list of AD groups and identifies a specific group (called "ENTRA") whose members should be synced to Zammad.
   - Zammad: Using Zammad’s API, the current list of users is fetched for processing.
   
   📦 Step 2: Data Transformation
   
   Data transformation is an essential step when working across different systems. The workflow uses several n8n Set and SplitOut nodes to:
   
   - Flatten structured arrays from API responses.
   - Transform Entra user data into a universal user object that matches Zammad’s schema.
   - Extract relevant user fields including email, phone, name, mobile number, and a unique "entra_key" used for mapping.
   
   A conditional node filters users to only include those of type "user" and those currently active.
   
   🔀 Step 3: Identifying Differences
   
   This is the intelligence engine of the workflow, comparing two datasets:
   
   - The "Merge" node combines Entra and Zammad user data using the email field.
   - The "Compare Datasets" nodes identify new users present in Entra but missing in Zammad, as well as users that exist in Zammad but are no longer present in the Entra group.
   
   🔧 Step 4: Executing Sync Actions
   
   Based on the comparisons:
   
   - New users are passed to the "Create Zammad User" node, which pushes them to Zammad via the API.
   - Matched but outdated users go to the "Update Zammad User" node to synchronize any changes (e.g., updated phone numbers).
   - Users no longer part of the Entra group are sent to the "Deactivate Zammad User" node, ensuring Zammad’s records stay clean and secure.
   
   Each Zammad action (Create, Update, Deactivate) includes custom fields like "entra_key" and "entra_object_type" for traceability and data integrity.
   
   ⚙️ Seamless Integration with APIs
   
   What powers this synchronization under the hood is a dynamic use of APIs:
   
   - Microsoft Graph API allows secure and precise access to Microsoft Entra resources. OAuth2 authentication ensures secure, scoped access to user group and member data.
   - The Zammad API, authenticated via Token Auth, allows full programmatic control over user management, from listing users to updating and creating new entries.
   
   This API duo, orchestrated by n8n, creates a powerful bridge between your identity provider and helpdesk system.
   
   📈 Why This Matters
   
   By automating user synchronization:
   - Onboarding becomes faster and less prone to errors.
   - Offboarding is more secure, ensuring removed users don’t retain outdated access.
   - Data homogeneity is maintained between systems, improving downstream functionality like reporting and user-based workflows.
   
   💡 Final Thoughts
   
   Running this as a periodic or event-driven workflow in a production setup can eliminate the manual overhead of syncing Entra and Zammad users. With the adaptability of n8n, additional conditions (e.g., assigning roles, syncing departments) can also be layered in as needed.
   
   This workflow is a shining example of citizen automation—a no-code yet sophisticated integration between modern enterprise platforms.
   
   If you're looking to scale your IT processes without rewriting custom scripts every time, harnessing the power of tools like n8n and leveraging APIs such as Microsoft Graph and Zammad is a no-brainer.
   
   Now all that’s left is hitting “Execute Workflow”—and watching the magic happen.
   
   🔗 Related Resources:
   - Microsoft Graph API Reference: https://learn.microsoft.com/en-us/graph/api/resources/users
   - Zammad API Documentation: https://docs.zammad.org/en/latest/api/intro.html
   - n8n Workflow Repository: https://n8n.io/workflows
   
   🛠️ Built With:
   - Microsoft Entra (formerly Azure Active Directory)
   - Zammad
   - n8n.io — Fair-code workflow automation platform
   
   Ready to automate? Your future self (and your support team) will thank you.

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.