Welcome to the GitHub repository of PyForbes
PyForbes is an unofficial Python wrapper for Forbes API.
PyForbes allows developers to analyze Forbes data or build web application with Forbes data.
PyForbes provides ease of access to developers and data scientists by providing python interface to directly get the Forbes data as a Pandas.DataFrame or JSON Dictionary.
Install with pip
$ pip install pyforbes
A Simple PyForbes application typically looks like this
from pyforbes import ForbesList
flist = ForbesList()
# Get ForbesList data as a JSON
billionaires_json = flist.get_json('billionaires', year=2020)
# Get ForbesList data as a DataFrame
billionaires_df = flist.get_df('billionaires', year=2020)
# 30Under30 - Social Media Influencers
social_media_30 = flist.get_df('30under30-social-media', year=2020)
In order to make the most out of PyForbes, you should start with the PyForbes Documentation: Examples that will lead you through the most common aspects of the package.
Refer the documentation, examples and other instructions here: PyForbes Documentation
Please refer the Contribution Guidelines.