Data Engineering with Python: A Practical Guide to Fetching and Processing Data via REST API
Leveraging the Power of Python and REST APIs to Retrieve and Analyze Stock Market Data
One of the most important parts of a data engineering project is getting the data. This could be done in a number of ways either by accessing databases provided by different companies, getting the data from a REST API or even scraping webpages. In this article, we will use Python to access data from a REST API, particularly stocks data.
The stock market, with tech giants like FAANG stocks provides a rich source of data This project will guide you on how to engineer a data pipeline to fetch the data from the REST API provided by Alpha Vantage.
You can find the code for this article from here
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Setting Up Your Environment
Before we start, you’ll need to install some tools. Firstly, ensure you have Python installed on your machine. If not, you can download it from the official Python website. Secondly, install the requests library using pip, the python package installer. Open your terminal and type:
