Automate Zammad User Roles with Excel Data
detail.loadingPreview
Streamline your Zammad user management by automatically updating roles based on an Excel file. This workflow fetches user data, matches it with existing Zammad users, and applies the correct role assignments efficiently.
About This Workflow
This n8n workflow automates the process of updating user roles within Zammad using data from an Excel spreadsheet. It begins by defining essential variables like your Zammad base URL and the source URL for your Excel file. The workflow then downloads the Excel file, extracts the necessary user information (email and desired role IDs), and constructs the required Zammad user objects. It intelligently searches for existing users in Zammad by email and merges this data to prepare for the update. Finally, it makes a PUT request to the Zammad API to update the roles of each matched user, ensuring your user access controls are always in sync with your organizational needs. This eliminates manual data entry and reduces the risk of errors, saving significant administrative time.
Key Features
- Excel Data Integration: Seamlessly import user roles and emails from an
.xlsxfile. - Automated User Matching: Automatically finds existing Zammad users based on their email addresses.
- API-driven Updates: Leverages the Zammad API for accurate and efficient role modification.
- Configurable Variables: Easily set your Zammad instance URL and the source of your Excel data.
- Error Handling: Includes basic error handling to continue the workflow even if some updates fail.
How To Use
- Execute Workflow: Manually trigger the workflow by clicking "Execute Workflow" in n8n.
- Configure Basic Variables: Update the
zammad_base_urlandexcel_source_urlin the "Basic Variables" node to match your Zammad instance and the location of your Excel file. - Download and Extract Data: The "Download Excel" node fetches the file, and "Extract from File" parses the
.xlsxdata, expecting columns for 'email' and 'role_ids'. - Prepare Zammad Objects: The "Zammad Univeral User Object" node formats the extracted data for Zammad.
- Find Zammad Users: The "Find Zammad User by email" node searches for matching users in your Zammad instance using their email.
- Merge Data: The "Merge" node combines the data from your Excel sheet and the Zammad user search results, matching on email.
- Update Roles: The "Update User Roles" node sends a PUT request to Zammad to update the
role_idsfor each matched user. - Authentication: Ensure you have configured HTTP Header Authentication for Zammad in the "Find Zammad User by email" and "Update User Roles" nodes using your Zammad API token.
Apps Used
Workflow JSON
{
"id": "df81c5f7-2a5a-4893-ba55-4b111922676e",
"name": "Automate Zammad User Roles with Excel Data",
"nodes": 8,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: df81c5f7-2a5a...
About the Author
Free n8n Workflows Official
System Admin
The official repository for verified enterprise-grade workflows.
Statistics
Related Workflows
Discover more workflows you might like
Google Sheets to Icypeas: Automated Bulk Domain Scanning
This workflow streamlines the process of performing bulk domain scans by integrating your Google Sheets data directly with the Icypeas platform. Automate the submission of company names from your spreadsheet to Icypeas for comprehensive domain information, saving valuable time and effort.
Instant WooCommerce Order Notifications via Telegram
When a new order is placed on your WooCommerce store, instantly receive detailed notifications directly to your Telegram chat. Stay on top of your e-commerce operations with real-time alerts, including order specifics and a direct link to view the order.
On-Demand Microsoft SQL Query Execution
This workflow allows you to manually trigger and execute any SQL query against your Microsoft SQL Server database. Perfect for ad-hoc data lookups, administrative tasks, or quick tests, giving you direct control over your database operations.