Soundcloud Datasets

Leverage our SoundCloud dataset to refine your strategies and uncover emerging trends within the realm of music streaming and listener habits

  • Available as a custom dataset request
  • Get accurate data you can rely on
  • 100% compliant scraping
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SoundCloud datasets hero image
                              {
  "type": "object",
  "fields": {
    "tracks": {
      "type": "array",
      "active": true,
      "items": {
        "type": "object",
        "fields": {
          "track_id": {
            "type": "text",
            "active": true,
            "sample_value": "12345678"
          },
          "title": {
            "type": "text",
            "active": true,
            "sample_value": "Summer Vibes"
          },
          "artist": {
            "type": "object",
            "active": true,
            "fields": {
              "artist_id": {
                "type": "text",
                "active": true,
                "sample_value": "87654321"
              },
              "artist_name": {
                "type": "text",
                "active": true,
                "sample_value": "DJ Cool"
              },
              "artist_profile_link": {
                "type": "url",
                "active": true,
                "sample_value": "https://soundcloud.com/djcool"
              }
            }
          },
          "genre": {
            "type": "text",
            "active": true,
            "sample_value": "Electronic"
          },
          "play_count": {
            "type": "number",
            "active": true,
            "sample_value": 15000
          },
          "like_count": {
            "type": "number",
            "active": true,
            "sample_value": 450
          },
          "repost_count": {
            "type": "number",
            "active": true,
            "sample_value": 120
          },
          "comment_count": {
            "type": "number",
            "active": true,
            "sample_value": 60
          },
          "release_date": {
            "type": "text",
            "active": true,
            "sample_value": "2024-02-15"
          },
          "track_duration": {
            "type": "text",
            "active": true,
            "sample_value": "03:45"
          },
          "description": {
            "type": "text",
            "active": true,
            "sample_value": "An upbeat electronic track perfect for summer."
          },
          "tags": {
            "type": "array",
            "active": true,
            "items": {
              "type": "text",
              "sample_value": "summer vibes"
            }
          },
          "link_to_track": {
            "type": "url",
            "active": true,
            "sample_value": "https://soundcloud.com/djcool/summer-vibes"
          }
        }
      }
    },
    "related_searches": {
      "type": "array",
      "active": true,
      "items": {
        "type": "object",
        "fields": {
          "related_search_term": {
            "type": "text",
            "active": true,
            "sample_value": "lofi beats"
          },
          "related_search_link": {
            "type": "url",
            "active": true,
            "sample_value": "https://soundcloud.com/search?q=lofi+beats"
          }
        }
      }
    },
    "source_url": {
      "type": "url",
      "required": true,
      "active": true,
      "sample_value": "https://soundcloud.com"
    }
  }
}
                              
                            

SoundCloud dataset sample

Choose from fully managed or self-managed datasets. Fully managed datasets offer a hands-off experience and are managed by our partners. Self-managed custom datasets allow you to set up the project and define validation rules. The SoundCloud dataset may include data points such as artist name, track title, genre, play count, likes, reposts, comments, and release date.
THE PROCESS

Automated dataset creation platform

Streamline your data-collection process so you can focus on what matters.
  1. Initial setup

    Add the URLs of your target website.

  2. Sample creation

    Get AI-generated schema and sample. Set up validation rules.

  3. Proof of concept

    The scraper is built based on schema and validation rules.

  4. Data collection & delivery

    Data is collected and delivered.

Custom Dataset Pricing

CUSTOM DATASET
Subscription
Starting from
$300/month
One time
Starting from
$1,000
Proof of Concept
One time
$500
  • AI-Generated schema & sample
  • Control over data validation
  • Real-time product quantity est.
  • Daily, Weekly, Monthly, Custom

SoundCloud datasets tailored to your needs

Get easy to use, well-structured datasets for any use case

Abonnement

Différents formats de fichiers de sortie

Jeux de données au format JSON, ndJSON, CSV ou Excel

Plusieurs options de livraison

Données évolutives

Évoluer sans se soucier de l'infrastructure, des serveurs proxy ou des blocages

Champs de sortie personnalisés

Définissez des champs de sortie personnalisés pour répondre à des exigences spécifiques pour votre activité

Maintenance de code

Volume de données adaptable

Configurez les serveurs pour qu’ils traitent un plus grand nombre de requêtes

Assistance 24h/24, 7j/7

Gestion de votre collecte de données par un responsable de compte dédié

Assurance qualité des données

Garantissez la fiabilité et la précision de vos données pour améliorer vos prises de décision

Get structured and reliable SoundCloud data

Nous vous fournirons les données pendant que vous vous concentrerez sur le reste

De gros volumes de données web

Grâce à nos capacités de déblocage et à la rotation des adresses IP 24h/24, nous garantissons l’accès à tous les points de données des sites web.

Des données prêtes à l’emploi

Chaque aspect du processus de collecte des données est entièrement validé par nous dans le cadre d’un processus rigoureux de validation des données.

Un flux de données continu

Créez des plannings personnalisés pour automatiser la livraison des données et recevoir de manière continue le flux de données dans votre stockage.

How companies use SoundCloud datasets

Competitive Benchmarking

Compare track popularity, listener engagement, and artist performance across competitors to identify areas for improvement and strategic advantage.
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perform competitive analysis

Market Analysis and Segmentation

Utilize the SoundCloud dataset to analyze market trends and listener preferences for different music genres and artist types.
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competitor analysis

Demand Forecasting

Predict future streaming volumes and listener preferences based on historical data, helping to optimize content creation and marketing strategies.
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track trends

Get your SoundCloud data today.

SoundCloud Dataset FAQs

We will create a custom dataset from SoundCloud's platform focusing on publicly available data points tailored to your specific requirements. Data points may include track titles, artist names, genres, play counts, likes, reposts, comments, and more.

Yes, you can get updates to your SoundCloud dataset on a daily, weekly, monthly, or custom basis.

Yes, you can purchase a SoundCloud subset that will include only the data points you need. By purchasing a subset, cost is reduced substantially.

You can choose one of the following formats: JSON, ndJSON, CSV, or XLSX.

If you don’t want to purchase a dataset, you can start scraping SoundCloud data using our SoundCloud scraping tool.

Yes, you can request sample data to evaluate the quality and relevance of the information provided. This is a great way to ensure it meets your needs before committing to a full dataset.

Yes, you can request specific data points from the SoundCloud dataset tailored to your unique needs, ensuring you receive precisely the information you require for your projects.

Absolutely, the SoundCloud dataset offers seamless API integration, allowing you to effortlessly integrate the data into your CRM, analytics tools, or any other systems you use, streamlining your operations.

Leverage our SoundCloud dataset for diverse applications to improve business strategies and market insights. Analyzing this dataset can facilitate an understanding of listener preferences and trends within the music streaming industry, empowering organizations to refine content offerings and marketing strategies. Access the entire dataset or customize a subset to align with your specific needs.

Popular use cases include optimizing track selections based on listener preferences, conducting detailed market analysis and segmentation, and identifying and predicting emerging trends in music consumption and streaming preferences.