Atlassian Jira, Python and automated labeling

I have already wrote about Atlassian Jira automation in “Automated task processing with JIRA API“. But all examples there were with using of curl. So, I decided to make one more post about Jira API. This time with python examples and about labeling issues (nice wordplay, right? 😉 ).

Jira Labels and Python

You can use labeles for organizing issues on Jira Scrum and Kanban Boards, Jira Dashboards or just for advanced searching (e.g. labels = "LabelName")

Let’s start from the basics.

How to search Jira issues from your own python scripts?

It’s easy. Send a post request to /rest/api/2/search/ with some JQL expression. Jira server will return first 50 matching issues. If you need more, set a startAt parameter and repeat post requests while the number of issues you requested is less than total number of founded issues (parameter in response).

Something like this:

import requests
import json

requested = 0
search_results = dict()
total = 1
while requested < total:
    post_data = json.dumps({'jql': 'assignee in (user_id) order by created DESC', "startAt": requested, "maxResults": 50})
    headers = {
        'Content-Type': 'application/json',
    response ='', headers=headers, data=post_data,
                             verify=False, auth=(user, password))
    data = json.loads(response.text)
    total = data['total']
    search_results[requested] = data
    requested += 50

Get the issue IDs from the search_results structure:

for base in search_results:
    for key in search_results[base]['issues']:



How to get issue date knowing it’s id?

You can do it by sending a get request to /rest/api/2/issue/[issue id]:

issue_id = "SECURITY-498"

headers = {
    'Content-Type': 'application/json',

response = requests.get('' + str(issue_id), headers=headers,
                        verify=False, auth=(user, password))
data = json.loads(response.text)

Here are the labels:




How to edit the labels of Jira issue?

Create a small json with a part of issue data that you want to change and make a post request to /rest/api/2/issue/[issue id]

headers = {
    'Content-Type': 'application/json',

new_labels = [ 'ImportantLabel', 'TestLabel' ]
put_data = json.dumps({ 'fields': { 'labels' : list(new_labels) } })
response = requests.put('' + str(issue_id), headers=headers, data=put_data,
                            verify=False, auth=(user, password))

You can set other Jira fields in a similar way.

2 thoughts on “Atlassian Jira, Python and automated labeling

  1. Pingback: Confluence REST API for reading and updating wiki pages | Alexander V. Leonov

  2. prakash

    I tried exactly the last method to update labels, but I got server response 400.

    I tried updated component field and it works well, here is my code for component field update
    put_data = ‘{“update” : {“components” : [{“add” : {“name” : “%s”}}]}}’ % component

    any help on this?


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