https://github.com/zablon-oigo/spotify-data-pipeline

This project is a python-based data pipeline that integrates with the spotify web API to extract and analyze artist-related data. It provides functionality to search for artists by name, retrieve their top tracks in a specific country such as kenya, and load the data into a temporary database for analysis.
https://github.com/zablon-oigo/spotify-data-pipeline

dlt dlthub github-actions makefile pre-commit-hooks pytest python3 spotify-web-api streamlit streamlit-dashboard

Last synced: 3 months ago
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This project is a python-based data pipeline that integrates with the spotify web API to extract and analyze artist-related data. It provides functionality to search for artists by name, retrieve their top tracks in a specific country such as kenya, and load the data into a temporary database for analysis.

• Host: GitHub
• URL: https://github.com/zablon-oigo/spotify-data-pipeline
• Owner: zablon-oigo
• Created: 2025-05-16T20:08:51.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2025-05-27T05:58:18.000Z (about 1 year ago)
• Last Synced: 2025-08-11T06:55:16.136Z (12 months ago)
• Topics: dlt, dlthub, github-actions, makefile, pre-commit-hooks, pytest, python3, spotify-web-api, streamlit, streamlit-dashboard
• Language: Python
• Homepage:
• Size: 25.4 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
![workflow](https://github.com/zablon-oigo/spotify-data-pipeline/actions/workflows/ci.yml/badge.svg)

![workflow](https://github.com/zablon-oigo/spotify-data-pipeline/actions/workflows/test.yml/badge.svg)

### Spotify Data Pipeline

This project is a python-based data pipeline that integrates with the spotify web API to extract and analyze artist-related data. It provides functionality to search for artists by name, retrieve their top tracks in a specific country such as kenya, and load the data into a temporary database for analysis. The goal of this pipeline is to generate insights that can support data-driven business decisions, such as identifying trending artists or understanding regional music preferences.

#### Architecture Diagram

![elt](https://github.com/user-attachments/assets/1f915ccb-c401-45fa-b054-0a1f06db9175)

#### Run Locally

Clone the project

```bash

  git clone https://github.com/zablon-oigo/spotify-data-pipeline.git

```

Go to the project directory

```bash

  cd spotify-data-pipeline

```

Install dependencies

```bash

  pip install -r requirements.txt

```

Run Python script

```bash

  python load.py

```

Open the browser

```bash

  http://localhost:8501/dashboard

```