Skip to main content

Create LinkedIn content using Python

Project description

LinkedIn Python 💙🐍

This package allows you to easily create post on LinkedIn using python, it follow LinkedIn v2 APIs.

The official LinkedIn doc is here

Installation

You can install the package using pip

pip install -e .

or for development

pip install -e ".[dev]"

Installation

pip install linked_pythoon

Getting Started

Obtain a token

You need to obtain a token, is not an easy process since you need to create a LinkedIn app, please follow this youtube tutorial

Then, run

export LINKEDIN_TOKEN=<YOUR_TOKEN>

in your current shell

Creating a Post

To create a post, you can simple use the User class.

from linkedin_python import User

user = User()
res = user.create_post(
    "Post content",
    images=[
        ("/home/zuppif/Documents/LinkedInGPT/grogu.jpg", "image description"),
        ("/home/zuppif/Documents/LinkedInGPT/grogu_2.png", "image description"),
    ],
)

This will create a post with two images.

Contribution

We welcome all the contributions, here some dev specific stuff. To contribute

git clone git@github.com:FrancescoSaverioZuppichini/linkedin_python.git
cd linkedin_python && pip install -e ".[dev]"

This will install of the dev packages, e.g. black and isort

Code Quality 🧹

We provide two handy commands inside the Makefile, namely:

  • make style to format the code
  • make check_code_quality to check code quality (PEP8 basically)

So far, there is no types checking with mypy.

Tests 🧪

pytests is used to run our tests.

Publish on PyPi 🚀

Important: Before publishing, edit __version__ in src/init to match the wanted new version.

We use twine to make our life easier. You can publish by using

export PYPI_USERNAME="you_username"
export PYPI_PASSWORD="your_password"
export PYPI_TEST_PASSWORD="your_password_for_test_pypi"
make publish -e PYPI_USERNAME=$PYPI_USERNAME -e PYPI_PASSWORD=$PYPI_PASSWORD -e PYPI_TEST_PASSWORD=$PYPI_TEST_PASSWORD

You can also use token for auth, see pypi doc. In that case,

export PYPI_USERNAME="__token__"
export PYPI_PASSWORD="your_token"
export PYPI_TEST_PASSWORD="your_token_for_test_pypi"
make publish -e PYPI_USERNAME=$PYPI_USERNAME -e PYPI_PASSWORD=$PYPI_PASSWORD -e PYPI_TEST_PASSWORD=$PYPI_TEST_PASSWORD

Note: We will try to push to test pypi before pushing to pypi, to assert everything will work

CI/CD 🤖

We use GitHub actions to automatically run tests and check code quality when a new PR is done on main.

On any pull request, we will check the code quality and tests.

When a new release is created, we will try to push the new code to PyPi. We use twine to make our life easier.

The correct steps to create a new realease are the following:

  • edit __version__ in src/init to match the wanted new version.
  • create a new tag with the release name, e.g. git tag v0.0.1 && git push origin v0.0.1 or from the GitHub UI.
  • create a new release from GitHub UI

The CI will run when you create the new release.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

linkedin_python-0.0.1.tar.gz (6.9 kB view hashes)

Uploaded Source

Built Distribution

linkedin_python-0.0.1-py3-none-any.whl (7.1 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page