This package allows you to easily create post on LinkedIn using python, it follow LinkedIn v2 APIs.
The official LinkedIn doc is here
You can install the package using pip
pip install linked_python
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
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.
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
We provide two handy commands inside the Makefile
, namely:
make style
to format the codemake check_code_quality
to check code quality (PEP8 basically)
So far, there is no types checking with mypy.
pytests
is used to run our tests.
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
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.