![]() If you are using Anaconda – the only additional package to install is Python Jira. If you don’t use Anaconda – you may need to first install those packages using pip install. I highly suggest you use the Anaconda Python distribution as it already contains most of the libraries used such as Pandas (for data manipulation and analysis) and XlsxWriter (for creating Excel files). The program is written in Python (programming language). In Jira, select “Account Settings” then “Security”. You need to first create an API token for your user account. We will use a Jira API to extract the issues. This information will be required later on.Īutomate the process using Python Get a Jira API token Press “Switch to JQL” to get the filter details in Jira Query Language (JQL) format. This is the action that we want to automate in step 1. You could press “Export” to “Export Excel CSV (all fields)”. In Jira, go to “Filters” and select the items you want to view and export. ![]() The automated method will be based on the same query. Manually extract data from Jiraīefore we automate anything, let’s first have a look at how to export Jira items manually. ![]() It is not for Jira beginners and some very basic knowledge of Python is required. Produce an Excel report (XLSX format) from the database.Parse the extracted data (in JSON format) and save it to a database (SQLite).The program will perform the following steps: This post will show you how you can programmatically create Jira Reports in Excel using open-source software (Python) and libraries. a Daily Status Report – you may want to fully automate the process. However, if you do the same task regularly e.g. Jira comes with great reporting functionality and you can create custom Excel reports by manually exporting Jira items. Jira is a tool used for project and issue management by more than a million users from 100,000+ companies. Salvador Dalí, The Persistence of Memory, 1931 Jira Willem Hoek Automate your Jira reporting with Python and Excel
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