What is it?

The atlassian-python-api library provides a simple and convenient way to interact with Atlassian products (such as Jira Service management, Jira Software, Confluence, Bitbucket and apps Insight, X-Ray) using Python. It is based on the official REST APIs of these products, as well as additional private methods and protocols (such as xml+rpc and raw HTTP requests). This library can be used to automate tasks, integrate with other tools and systems, and build custom applications that interact with Atlassian products. It supports a wide range of Atlassian products, including Jira, Confluence, Bitbucket, StatusPage and others, and is compatible with both Atlassian Server and Cloud instances.

Overall, the atlassian-python-api is a useful tool for Python developers who want to work with Atlassian products. It is well-documented and actively maintained, and provides a convenient way to access the full range of functionality offered by the Atlassian REST APIs.

Documentation

Documentation

How to Install?

From PyPI

$ pip install atlassian-python-api

From Source

• Git clone repository

• Use pip install -r requirements.txt to install the required packages

• or pipenv install && pipenv install --dev

Examples

More examples in examples/ directory.

Here’s a short example of how to create a Confluence page:

from atlassian import Confluence

confluence = Confluence(
    url='http://localhost:8090',
    username='admin',
    password='admin')

status = confluence.create_page(
    space='DEMO',
    title='This is the title',
    body='This is the body. You can use <strong>HTML tags</strong>!')

print(status)

Please, note Confluence Cloud need to be used via token parameter. And here’s another example of how to get issues from Jira using JQL Query:

from atlassian import Jira

jira = Jira(
    url='http://localhost:8080',
    username='admin',
    password='admin')
JQL = 'project = DEMO AND status IN ("To Do", "In Progress") ORDER BY issuekey'
data = jira.jql(JQL)
print(data)

The traditional jql method is deprecated for Jira Cloud users, as Atlassian has transitioned to a nextPageToken-based pagination approach instead of startAt. Use enhanced_jql for improved performance and future compatibility.

from atlassian import Jira

jira = Jira(
    url='https://your-jira-instance.atlassian.net',
    username='[email protected]',
    password='your-api-token',
    cloud=True  # Ensure this is set to True for Jira Cloud
)
JQL = 'project = DEMO AND status IN ("To Do", "In Progress") ORDER BY issuekey'
# Fetch issues using the new enhanced_jql method
data = jira.enhanced_jql(JQL)
print(data)

Also, you can use the Bitbucket module e.g. for getting project list

from atlassian import Bitbucket

bitbucket = Bitbucket(
        url='http://localhost:7990',
        username='admin',
        password='admin')

data = bitbucket.project_list()
print(data)

Now you can use the Jira Service Desk module. See docs. Example to get your requests:

from atlassian import ServiceDesk

sd = ServiceDesk(
        url='http://localhost:7990',
        username='admin',
        password='admin')

data = sd.get_my_customer_requests()
print(data)

Using Insight (CMDB Tool for Jira):

from atlassian import Insight

insight = Insight(
        url='http://localhost:7990',
        username='admin',
        password='admin')

data = insight.get_object(88)
print(data)

Using Xray (Test Management tool for Jira):

from atlassian import Xray

xr = Xray(
       url='http://localhost:7990',
        username='admin',
        password='admin')

data = xr.get_tests('TEST-001')
print(data)

Using Bamboo:

from atlassian import Bamboo

bamboo = Bamboo(
        url='http://localhost:6990/bamboo/',
        token="<TOKEN>")

data = bamboo.get_elastic_configurations()
print(data)

If you want to see the response in pretty print format JSON. Feel free for use construction like:

from pprint import pprint
# you code here
# and then print using pprint(result) instead of print(result)
pprint(response)

How to contribute?

First of all, I am happy for any PR requests. Let’s fork and provide your changes :) See the Contribution Guidelines for this project for details on how to make changes to this library.

Credits

In addition to all the contributors we would like to thank these vendors:

• Atlassian for developing such a powerful ecosystem.

• JetBrains for providing us with free licenses of PyCharm

• Microsoft for providing us with free licenses of VSCode

• for hosting our repository and continuous integration