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 Contact Sync Between Microsoft Entra and Zammad with n8n
   
   Meta Description:  
   Discover how to seamlessly synchronize contacts from Microsoft Entra to Zammad using an automated n8n workflow. Learn how the process ensures up-to-date user data, minimizes manual work, and maintains consistency across platforms.
   
   Keywords:  
   n8n automation, Microsoft Entra, Zammad, contact synchronization, workflow automation, Microsoft Graph API, Zammad API, no-code integration, user sync, IT automation
   
   Third-Party APIs Used:
   
   1. Microsoft Graph API  
   2. Zammad API (via Zammad Token Authentication)
   
   Article:
   
   Automating Contact Synchronization Between Microsoft Entra and Zammad Using n8n
   
   Maintaining consistent contact information across multiple platforms is crucial for organizations aiming to optimize customer support and internal collaboration. One such scenario is keeping user records synchronized between Microsoft Entra ID (formerly Azure AD) and Zammad, an open-source helpdesk and ticketing system. Traditionally, this process requires manual copying, which is time-consuming and error-prone. Enter n8n—a powerful no-code automation platform that bridges systems seamlessly.
   
   In this article, we’ll explore an n8n workflow titled “Entra Contacts to Zammad User Sync” that automates the complete lifecycle of user synchronization—from importing Microsoft Entra contacts to creating, updating, and deactivating Zammad user accounts.
   
   🔄 Overview of the Workflow
   
   The core objective of this n8n workflow is to ensure Zammad always reflects the latest set of contacts from Microsoft Entra. This synchronization performs the following:
   
   - Fetches contacts from Microsoft Entra via the Microsoft Graph API
   - Retrieves existing users from Zammad
   - Identifies new contacts to be added to Zammad
   - Detects and updates modified user information
   - Finds and deactivates users removed from Entra
   
   🧩 Key Components and Workflow Steps
   
   Let’s break down the workflow into its main components:
   
   1. Manual Trigger  
      The workflow begins with a manual trigger, giving users the ability to test and control the sync execution on demand before full automation.
   
   2. Fetching Entra Contacts  
      Using an HTTP Request node with Microsoft OAuth2 credentials, the workflow calls the Microsoft Graph API (https://graph.microsoft.com/v1.0/contacts) to retrieve the current list of Entra contacts.
   
   3. Splitting and Filtering Contacts  
      The data returned contains all contacts in a single array. The workflow utilizes the “SplitOut” node to process each contact individually, followed by a conditional filter node to ensure only valid entries proceed.
   
   4. Standardizing Data into Zammad’s Format  
      With data extracted, the “Zammad Universal User Object” node structures each record into Zammad’s required format. This includes setting fields like firstname, lastname, email, and custom fields such as entra_key and entra_object_type.
   
   5. Fetching Existing Zammad Users  
      Simultaneously, the workflow calls the Zammad API to retrieve the list of current users via token authentication.
   
   6. Matching, Comparing, and Merging Users  
      Using a combination of “Merge”, “Compare Datasets”, and a second filter node, the workflow aligns contacts between both systems based on email addresses and unique IDs (entra_key).
   
      - If a user exists in both Entra and Zammad, their record is updated.
      - If a contact is new in Entra, it is created in Zammad.
      - If a user is in Zammad but missing in Entra, their status is set to inactive, effectively deactivating them.
   
   7. Executing Changes in Zammad  
      The relevant Zammad nodes handle the final user operations:
      - Create Zammad User
      - Update Zammad User
      - Deactivate Zammad User
   
   All these nodes utilize Zammad’s token-based authentication for secure interactions with its REST API.
   
   🔒 Authentication and API Usage
   
   This workflow interacts with the following third-party APIs:
   
   - ▪ Microsoft Graph API: Authenticated using OAuth2, it provides access to contacts stored in Microsoft Entra.
   - ▪ Zammad API: Authenticated via Zammad Token Auth, it allows CRUD operations on user records.
   
   🧠 Smart Sync Logic
   
   The workflow is notably intelligent in its logic:
   - It strictly matches users using both email and entra_key, minimizing duplication.
   - It uses conditional nodes that can include custom business logic (e.g., filtering out archived contacts).
   - Updates and deactivation are handled delicately, ensuring no user is overwritten or unintentionally removed.
   
   📈 Benefits of This Workflow
   
   Implementing this workflow inside your IT operations brings several benefits:
   - ✨ Fully automated user sync, saving hours of manual updates
   - 🤝 Improved data consistency across systems
   - 🚫 Eliminates human input errors
   - 🔄 Scales effortlessly as your contact list grows
   - 📦 Easily adaptable for other platforms using n8n’s modular setup
   
   💡 Final Thoughts
   
   The “Entra Contacts to Zammad User Sync” workflow demonstrates the power and flexibility of n8n for cross-platform automation. Organizations using Microsoft Entra for identity management and Zammad for support can now rely on a robust and automated bridge between the two. With no need to write code, this workflow is a great example of how no-code tools like n8n are changing the way modern IT teams operate.
   
   If you're managing user information across disparate platforms, consider implementing a similar solution in n8n—empowering your team to focus more on strategy and less on repetitive tasks.

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.