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The way we wrap jobs at Exceptionly. Exceptiony uses Jira for operational purposes, so all of our active jobs live on Jira. We automatically wrap our linkedin job slots using this project.

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Linkedin & Jira XML Job Wrapper by Exceptionly

The way we wrap jobs at Exceptionly. Exceptiony uses Jira for operational purposes, so all of our active jobs live on Jira. We automatically wrap our linkedin job slots using this project. This project is built in alignment with XML Feeds Development Guide by MSFT

This approach saved a lot of time for our talent acquisition team. Hope it does the same if you go ahead and make a crazy decision of running operations HR operations over Jira.

Python file checks:

As you may know, Job Slots over Linkedin are city sensitive, so your XML output should include all job/city variations separately.
us-states.csv file is necessary for inserting proper city/state information if you are publishing jobs for the US.

Python file generates:

Once you automatically upload this to your host, Linkedin crawlers come and consume this file for generating your jobs lots.
exceptionlyjds.xml

Python file external dependencies:

pip install jira --> Python Jira
pip install lxml --> Python lxml

Python file built-in module dependencies:

csv
collections
ftplib
os

Python file end-result live on Linkedin:

sample-job-post-by-exceptionly

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The way we wrap jobs at Exceptionly. Exceptiony uses Jira for operational purposes, so all of our active jobs live on Jira. We automatically wrap our linkedin job slots using this project.

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