Spotify Dataset: The Tool Every Music Pro Needs

Kristian Gorenc Z

Jul 20, 2025

A Spotify dataset is a structured collection of data that includes key metrics about artists, songs, playlists, and listener behaviors on the Spotify platform. This type of dataset can contain stats like Spotify followers, streams, playlist reach, and Spotify rank, among others. These datasets are useful for understanding how music is performing across the platform and are used by various stakeholders in the music industry—from record labels to festival organizers and artist managers.

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Why Spotify Datasets Matter in the Music Business

Spotify is one of the largest music streaming platforms in the world. It offers a massive pool of listener data and artist performance metrics. A enables you to extract this data in a structured format, ready for analysis.

Here are a few real-world use cases where Spotify datasets are crucial:

Record labels use Spotify datasets to evaluate potential signings based on real-time popularity, streaming growth, and playlist exposure. Festival and event organizers analyze which artists are trending in specific regions or genres to optimize festival lineups. Artist managers and promoters track the performance of their artists across countries and platforms to fine-tune marketing strategies. Marketing and PR teams spot rising stars and measure the effectiveness of campaigns by comparing Spotify metrics over time. Music data analysts use the dataset to identify trends, create forecasts, and build dashboards that support decision-making.

These aren’t speculative ideas—they’re daily tasks in the music industry that rely on accurate, up-to-date streaming data.

How Viberate Supports Spotify Dataset Needs

Viberate offers a powerful solution for anyone who needs access to reliable and customizable music data, including Spotify metrics.

You can create and export custom music datasets on Viberate with just a few clicks. The platform allows you to filter by country, genre, subgenre, record label, and data range. You can include metrics such as Spotify followers, Spotify streams, YouTube views, and more. The dataset can be exported in CSV format, ready for offline analysis or integration into other applications.

This kind of flexibility makes it easy to tailor your dataset exactly to your business case—whether it’s selecting only indie artists from Brazil or analyzing global pop acts signed to major labels.

Types of Datasets You Can Access

Viberate provides multiple music datasets, not limited to Spotify data.

Artist data includes rank, name, country, genre, label, Spotify rank, YouTube subscribers, and other social metrics. Festival data covers event name, country, genre, size, Viberate rank, and lineup rank.

These datasets offer a comprehensive view of the music ecosystem. For example, combining artist data with festival data lets you see which artists are performing where and how that affects their popularity.

Exporting and Using the Data

You can export all datasets from Viberate as CSV files. This is critical for professionals who want to run deeper analysis using Excel or data visualization tools, integrate the data into CRM systems or marketing automation platforms, or share structured data across teams and departments.

Whether you're preparing an artist pitch deck or building an internal dashboard, having access to clean, structured data speeds up your workflow.

Optimized for Machine Learning

For developers and data scientists, Viberate’s music datasets are also optimized for machine learning use. They include clearly labeled fields and relevant features that can support predictive modeling, recommendation systems, and automated reporting.

This is especially useful for building models to predict future artist popularity, training recommendation engines based on real-world popularity signals, and feeding data into clustering algorithms for market segmentation.

Key Spotify Metrics Available

The Spotify datasets available on Viberate include essential performance indicators such as Spotify rank, Spotify followers, Spotify streams, and playlist reach.

Each of these metrics helps measure artist visibility, growth, and audience engagement. For example, a spike in playlist reach can signal a successful PR campaign or playlist placement.

Final Thoughts

Spotify datasets are no longer just a nice-to-have. For music professionals who rely on data to make informed decisions, they are an essential part of the toolkit.

Viberate makes it easy to access and export Spotify and other music-related datasets. Whether you're scouting talent, planning a lineup, or building a predictive model, structured data from Viberate gives you the edge.

Try building your own dataset to see how it can improve your work.