Build Your Own Music Dataset for Pro Analysis

Miha Prebil

Aug 3, 2025

A music dataset is a structured collection of data related to various aspects of music, such as artist statistics, song metadata, listener behavior, platform-specific metrics, and more. These datasets are essential for music professionals who want to analyze trends, measure performance, and make data-driven decisions.

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Datasets can vary in format and content. They might include basic metadata (like artist names, genres, and countries) or detailed stats from platforms like Spotify, YouTube, or TikTok. Depending on the use case, music datasets can support activities ranging from playlist curation to machine learning.

Real-Life Use Cases for Music Datasets

Professionals across the music industry rely on music datasets for different goals. Label A&R teams use artist data to identify emerging talent. By analyzing social media growth or Spotify follower spikes, they can spot rising stars before competitors. Festival bookers evaluate artist relevance based on audience size, platform reach, and genre compatibility. Music datasets make lineup curation more objective. Streaming curators track song performance, playlist placements, and audience engagement to update or fine-tune playlists. Music marketers analyze performance across multiple channels to understand where to focus campaigns and budgets. Academic researchers use large music datasets to study trends, such as how genre popularity shifts over time or how streaming affects artist income. Developers and data scientists use datasets for machine learning models that predict hit songs, audience segmentation, or recommendation engines.

Viberate's Music Dataset Capabilities

At Viberate, we offer fully customizable exports designed for professionals who need precision and flexibility.

You can tailor your dataset by filtering parameters such as country, genre and subgenre, record label, and data range (like Spotify followers or YouTube views). This means you can quickly generate a relevant dataset without dealing with noise or irrelevant entries. Whether you're targeting indie rock bands in Germany or Latin pop artists globally, the tool adapts to your criteria.

Once filtered, you can export your dataset in CSV format. This makes it easy to analyze offline, integrate into dashboards, or share with your team.

Available Music Datasets on Viberate

Viberate provides access to multiple types of music datasets. Artist data includes name, country, genre, label, rank across platforms like Spotify and YouTube, Spotify followers, YouTube subscribers, and TikTok engagement. Festival data includes the festival name, country, genre focus, festival size, Viberate rank, and artist lineup rank. These datasets help users make informed decisions, from talent scouting to event planning.

Downloadable and Optimized Formats

You can download any Viberate music dataset in CSV format. This is ideal for offline data analysis, integration into BI tools or dashboards, and sharing with external collaborators.

For those working in data science or machine learning, Viberate offers structured and optimized datasets. These include clean and relevant fields such as follower count, playlist reach, engagement rates, and ranks. They're ready for use in predictive models, recommendation systems, or trend analysis tools.

Spotify-Specific Dataset Fields

If you're focused on Spotify data, Viberate gives you access to key metrics such as Spotify rank, Spotify followers, Spotify streams, and playlist reach. These features allow you to evaluate artist traction, estimate potential reach, or benchmark against competitors.

Why Use Music Datasets?

The more data-informed your decisions, the better your results. Music datasets reduce guesswork, improve targeting in marketing campaigns, help select artists or songs with higher potential, allow accurate performance tracking, and save time in research and scouting. Whether you're a manager, label executive, festival organizer, or researcher, music datasets empower your decision-making.

Conclusion

Having access to a reliable and customizable music dataset can give you a clear edge in the fast-paced music industry. Viberate provides easy-to-use tools to create tailored datasets, export them quickly, and apply them across your business workflows.

From Spotify analytics to artist profiles and festival data, the platform helps you track what matters. No fluff. Just actionable data when you need it.

Start building your custom music dataset today and take control of your music intelligence.