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Collect and standardize data on job posting platforms.

Project description

Jobtimize

Jobtimize is a python package which collects, standardizes and completes information about job offers published on job search platforms. The package is mainly based on scraping and text classification to fill in missing data.

Release Usage Development
PyPI License: MIT Build Status
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What's new in the current version:


Dependencies

beautifulsoup4
jsonschema
lxml
pandas

Installation

Pypi

The safest way to install Jobtimize is to go through pip

pip install Jobtimize

Conda

It is also possible to get the latest stable version with Anaconda Cloud

conda install -c lrakotoson jobtimize

Git

The installation with git allows to have the latest version. However it can have some bugs.

pip install git+https://github.com/Lrakotoson/Jobtimize.git

How to use ?

As Jobtimize is a package, in python you just have to import it. The main function (for now) is Jobtimize.jobscrap.

from Jobtimize import jobscrap

df = jobscrap(["Data Scientist", "Data Analyst"],
              ["UK", "FR"]
    )

df.head()

The df object is a dataframe pandas, so it inherits all its methods.

Contributing 🤝

🎊 Firstly, thank you for giving your time to contribute to Jobtimize. 🎊

If you have a new feature to submit, don't hesitate to open an issue (By checking "new feature" to make it easier to read) We can discuss it freely there.
Then you can make a "pull request" as explained in the contribution guidelines.

Same for all contributions, code improvement, documentation writing, translations... all ideas are welcome! Check out the guidelines to make it easier.

Jobtimize gets better with contributions.

Project details


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Files for Jobtimize, version 0.0.4a1
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