Start growing your own Microsoft Excel collections using the following simple steps in Python for using Rapid API. Click here to see my full project using this tutorial.
Rapid API is a provider of over 30,000 different API's which are used by developers across the globe for their websites, applications or company development.
What is an API?
In layman's terms, an Application Programming Interface (API) acts as a messenger between your device and a system (or data provider). In this example, we use our computers to request football data from the API namely API-Football using a set of instruction given in Python.
Prerequisites
This tutorial assumes some basic familiarity with the Python programming language and Jupyter notebooks. If you are not familiar with either of these please check out the links below.
Python Installation and Basics: https://docs.python.org/3/tutorial/
Jupyter Notebooks Basics: https://www.dataquest.io/blog/jupyter-notebook-tutorial/
There are only four required libraries for completing this task, that are: requests, json, pandas and xlsxwriter. All of these can be installed via the pip installer and my requirements.txt file can be downloaded here.
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