brilam / PyForbes

Python package that fetches data from Forbes List and loads it into pandas dataframe.

PyForbes - Python wrapper for Forbes API

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.

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 the documentation, examples and other instructions here: PyForbes Documentation

Contributing

Please refer the Contribution Guidelines.