SPOTIFY TOP 200 - DATA COLLECTION & ANALYTICS DASHBOARD

Automated platform for real-time Spotify Top 200 data collection and analytics dashboard.

PYTHON 3.9+ CURL_CFFI PLAYWRIGHT PYYAML PYTHON-DOTENV STREAMLIT PANDAS PLOTLY

PROJECT_INFO.SH

        $ cat project.json
        {
          "client": "Personal Project",
          "category": "Other",
          "date": "Recent",
          "status": "PUBLISHED",
                  "stack": [
                    "Python 3.9+",
                    "curl_cffi",
                    "Playwright",
                    "PyYAML",
                    "python-dotenv",
                    "Streamlit",
                    "pandas",
                    "Plotly"
                  ]
                }
        $ 
      

Client

PERSONAL

PROJECT
VISUALS

Spotify Top 200 - Data Collection & Analytics Dashboard

FEATURED

[ 02 — DETAILS ]

PROJECT
OVERVIEW

The Spotify Top 200 project addresses the need for real-time data collection and analysis of the most popular tracks on Spotify across various countries. By utilizing OAuth2 PKCE and Python 3.9+, this automated platform scrapes the Spotify Top 200 charts, providing insights into 3,800+ records, 338 tracks, and 245 artists with over 1.30 billion streams from more than 266 countries.

The solution features an interactive Streamlit dashboard that displays real-time key performance indicators (KPIs) and advanced visualizations. Users can filter and sort data, track trends, and analyze the popularity of artists and tracks over time. Additionally, the system incorporates robust authentication and data management features, ensuring secure access and organized data storage, making it an invaluable tool for music industry research, artist tracking, and market analysis.