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Extract your linkedin profile and allow you to use those informations in Pelican's pages

Project description

Pelican LinkedIn

Extract a LinkedIn profile and allow the use of his informations in Pelican's pages


To install pelican-linkedin, simply install it from PyPI:

.. code-block:: bash

$ pip install pelican-linkedin-profile


Enable the plugin in your

.. code-block:: python

# ...
# ...

Add mandatory settings containing your LinkedIn Api Keys.

.. code-block:: python


Available data
The member's name, formatted based on language.
The member's headline.
A long-form text area describing the member's professional profile.
A URL to the member's formatted profile picture, if one has been provided.
The LinkedIn member's primary email address.
The primary Twitter account associated with the member.
The URL to the member's public profile on LinkedIn.
A list of phone number objects containing those fields : phoneNumber, phoneType (home, work or mobile.)
A list of skill's name
A list of language's name
A list of eduction objects containing those fields : startDate, endDate, degree, schoolName, fieldOfStudy
A list of position objects containing those fields : startDate, endDate, title, company, summary, isCurrent. A company object contains those fields : industry, size, type, name

In your templates you will have access to a linkedin_profile variable as below.

.. code-block:: html

<h2>{{ linkedin_profile.formattedName }}</h2>
<p>{{ linkedin_profile.headline }}</p>


`GPLv2`_ license.

.. _GPLv2:

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Files for pelican-linkedin-profile, version 0.1.0
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