PyForbes - Python wrapper for Forbes API

Welcome to the GitHub repository of PyForbes

PyForbes is an unofficial Python wrapper for the Forbes API.

PyForbes allows developers to analyze Forbes data and/or build web applications with this data.

PyForbes provides ease of access to developers and data scientists by providing a Python interface to directly access Forbes data as a Pandas.DataFrame or JSON Dictionary.

Installation

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.

Documentation

Refer to the documentation, examples and other instructions here: PyForbes Documentation

Contributing

Please refer to the Contribution Guidelines.