In the following repo, you will find a simple ETL process, using different kinds of tools, but basically, Python.

The goal is download yesterday's data from Spotify, check if the validation process is approved and finally, load the information needed into the database.

You will need to create a copy from the .env.example and call it env. There you can put your personal information (TOKEN, USER-ID,etc.).

Extract, Transform and Load it's the process that allows to move data from multiple sources, clean them and load them into a SQL database, that could be used into a Data warehouse.

Here we will use the Spotify API. You will need to grab you USER-ID and generate a TOKEN in order to use it.

With pip, you can follow this steps:

1. Clone the repository
2. Create a virtual environment called env
3. Activate the environment and install the requirements with pip install -r requirements.txt
4. Copy the .env.example and call it env
5. Change the variables for the ones that you need: DATABASE_LOCATION, and from Spotify, USER_ID, TOKEN.
6. Then, you can run your code with python3 main.py

If you want to use poetry instead, you can skip the first 3 steps and run poetry install. You need to keep in mind that, to run the code, you'll need to execute: poetry run python3 main.py

Python version: 3.9.5