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

Project description

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


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

$ pip install pelican-linkedin-profile


Enable the plugin in your

    # ...
    # ...

Add mandatory settings containing your LinkedIn Api Keys.


Available data

formattedName:The member’s name, formatted based on language.
headline:The member’s headline.
summary:A long-form text area describing the member’s professional profile.
pictureUrl:A URL to the member’s formatted profile picture, if one has been provided.
emailAddress: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.
phoneNumbers:A list of phone number objects containing those fields : phoneNumber, phoneType (home, work or mobile.)
skills:A list of skill’s name
languages:A list of language’s name
educations:A list of eduction objects containing those fields : startDate, endDate, degree, schoolName, fieldOfStudy
positions: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.

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


GPLv2 license.

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Filename, size & hash SHA256 hash help File type Python version Upload date
pelican_linkedin_profile-0.1.1-py2.py3-none-any.whl (6.8 kB) Copy SHA256 hash SHA256 Wheel 2.7
pelican-linkedin-profile-0.1.1.tar.gz (4.3 kB) Copy SHA256 hash SHA256 Source None

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