Suspend Access for Jira Cloud Users in Bulk Using Python

Administator

Hello Jira Community,

I'm looking for guidance on how to suspend access for multiple Jira Cloud users in bulk using Python. Managing user access individually can be time-consuming, especially when dealing with a large number of users. Automating this process would greatly enhance efficiency and reduce manual workload.

I'm interested in any available Python scripts, Jira Cloud REST API methods, or Atlassian Python libraries that could help achieve this. Additionally, if there are any best practices, permission requirements, or potential pitfalls to be aware of when suspending user access in bulk, I'd appreciate insights on those as well.

If anyone has experience with automating user management tasks in Jira Cloud or has any sample code or detailed steps to share, it would be immensely helpful.

Thank you in advance for your support!

Jovin

Hey @Administator 

If you're not 100% set on using Python you can achieve this through Automation Rules and tickets in Jira.

1. Export the list of users to suspend/deactivate
2. Create stories for each user, I set it up like this:
   1. Summary: Atlassian ID
   2. Description: Email (just so I know who it was)
3. Create an automation rule like the below, using the correct API endpoint, when you run  this manually it will work for up to 50 users at a time.

I have the Trigger have a JQL specification such as below, where UD is the key of the project:

project = UD AND status = "Backlog"