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Collect and standardize data on job posting platforms.

Project description


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
GitHub version License: MIT Build Status
Python version Codecov





The safest way to install Jobtimize is to go through pip

pip install Jobtimize


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

pip install git+

How to use ?

Since 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"]


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

Project details

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Files for Jobtimize, version 0.0.3a1
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Filename, size Jobtimize-0.0.3a1.tar.gz (5.5 kB) File type Source Python version None Upload date Hashes View
Filename, size Jobtimize-0.0.3a1-py2.py3-none-any.whl (8.1 kB) File type Wheel Python version py2.py3 Upload date Hashes View

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