Music dataset CSV: Get Data on Artists, Festivals, & More

Kristian Gorenc Z

Mar 23, 2025

In today's data-driven music industry, understanding the significance of music datasets is crucial for decision-making, strategy development, and talent discovery. Streaming platforms, social media, and music festivals generate massive amounts of data that can provide insights into artist performance, listener behavior, and market trends. For music professionals, whether you're a label executive, an artist manager, or a marketer, these datasets can significantly enhance your ability to make informed decisions.

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Why Streaming Data Matters

Streaming data is one of the most valuable tools available to music professionals. Platforms like Spotify, YouTube, and TikTok generate vast amounts of information that can offer insights into an artist's reach, fan engagement, and overall performance. This data can shape marketing strategies, inform promotional efforts, and even help in discovering new talent. For example, monitoring metrics like Spotify followers or YouTube views can help a record label identify rising artists, while social media data can track fan engagement and public interest.

The challenge, however, lies in accessing and analyzing this data effectively. That's where tools like Viberate come in, providing comprehensive datasets from multiple channels that music professionals can easily access and use for analysis.

Viberate: A Comprehensive Source of Music Data

At Viberate, we offer a broad range of music datasets that cater to various needs. Our platform aggregates data from numerous sources, including:

• Spotify: Followers, streams, playlist reach, and rank
• YouTube: Subscribers, views, and rank
• Instagram: Follower count and engagement rates
• Facebook: Likes, engagement, and demographics
• TikTok: Follower count and video views
• SoundCloud: Play count and follower stats
• Deezer: Playlist data and streams
• Beatport: Track charts and genre-specific data

This wealth of data enables users to tailor their insights according to specific criteria, such as country, genre, subgenre, record label, and more. By customizing your search, you can create a music dataset that perfectly fits your needs.

Customizing and Exporting Your Music Dataset

One of the main advantages of using Viberate is the ability to fully customize your music data set. Whether you're interested in artist data, festival data, or platform-specific statistics like Spotify followers or YouTube views, our platform allows you to refine your search by selecting the country, genre, subgenre, record label, and data range that suits your project.

Once you've created your ideal dataset, exporting it is straightforward. With just a few clicks, you can easily export your music data set to a CSV file, perfect for further analysis or sharing with colleagues. For example, if you're looking to analyze an artist's performance on Spotify, you can download a that includes Spotify rank, follower count, streams, and more, allowing you to dive deep into the data.

Music Datasets Available on Viberate

On Viberate, we offer several types of music datasets, each tailored to different needs within the industry:

• Artist Data: This dataset includes crucial metrics such as artist rank, name, country, genre, label, Spotify rank, YouTube subscribers, and various social media stats.
• Festival Data: For professionals in the live music scene, we offer datasets with information about music festivals, including the festival name, country, genre, size, Viberate rank, and lineup rank.

These datasets are valuable for analyzing artist success across platforms, evaluating trends in music festivals, or even preparing reports for stakeholders.

Exporting Music Data for Machine Learning and Analytics

Music data is not only essential for traditional analysis but also for more advanced applications, such as machine learning. Viberate offers optimized datasets designed for use in machine learning models. These datasets include structured features that are ideal for predictive modeling, helping professionals build tools for trend forecasting, personalized recommendations, and other machine-learning applications. Whether you're working on artist discovery algorithms or analyzing fan engagement patterns, our optimized datasets provide the foundation you need.

Building a Data-Driven Future with Viberate

In the fast-paced world of music, data is more valuable than ever before. It drives decisions, uncovers trends, and helps professionals stay ahead in a competitive landscape. With Viberate, music professionals can access a wide range of datasets from different platforms, allowing them to make informed decisions based on reliable, up-to-date information.

Whether you need artist or festival data, or you're looking to export a music data set in CSV format for further analysis, Viberate has you covered. Start building your data-driven future with us today, and explore the possibilities that our comprehensive datasets offer.

In conclusion, music professionals looking to make data-backed decisions can benefit significantly from using Viberate. With datasets from various platforms like Spotify, YouTube, and Instagram, and the ability to export customized data in CSV format, Viberate simplifies the process of data analysis and sharing. Whether you need music data for reporting, trend analysis, or machine learning, we provide the tools to help you succeed.