Spotify Datasets

Explore Spotify trends to refine your music strategy
and decision-making

  • Available as a custom dataset request
  • Get accurate Spotify data
  • 100% compliant scraping
Spotify datasets hero image
信頼されています 20,000+ 人以上のお客様に世界中で

                              {
  "type": "object",
  "fields": {
    "search_results": {
      "type": "array",
      "active": true,
      "items": {
        "type": "object",
        "fields": {
          "track_name": {
            "type": "text",
            "active": true,
            "sample_value": "Blinding Lights"
          },
          "artist_name": {
            "type": "text",
            "active": true,
            "sample_value": "The Weeknd"
          },
          "album_name": {
            "type": "text",
            "active": true,
            "sample_value": "After Hours"
          },
          "genre": {
            "type": "text",
            "active": true,
            "sample_value": "Synthwave"
          },
          "release_date": {
            "type": "text",
            "active": true,
            "sample_value": "2019-11-29"
          },
          "track_popularity": {
            "type": "text",
            "active": true,
            "sample_value": "98"
          },
          "link_to_track": {
            "type": "url",
            "active": true,
            "sample_value": "https://open.spotify.com/track/0VjIjW4GlUZAMYd2vXMi3b"
          }
        }
      }
    },
    "related_searches": {
      "type": "array",
      "active": true,
      "items": {
        "type": "object",
        "fields": {
          "related_search_term": {
            "type": "text",
            "active": true,
            "sample_value": "The Weeknd top songs"
          },
          "related_search_link": {
            "type": "url",
            "active": true,
            "sample_value": "https://open.spotify.com/search/the%20weeknd%20top%20songs"
          }
        }
      }
    },
    "url": {
      "type": "url",
      "required": true,
      "active": true
    }
  }
}
                              
                            

Custom Spotify dataset sample

Choose from fully managed or self-managed datasets. Fully managed datasets offer a hands-off experience, managed by our partners. In self-managed custom datasets, you set up the project and validation rules. The Spotify data points may include: track name, artist, album, genre, release date, track popularity, and much more.
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
サブスクリプション
最低料金
$300/月
1回
最低料金
$1,000
概念実証
1回
$500
  • AI-Generated schema & sample
  • Control over data validation
  • Real-time product quantity est.
  • Daily, Weekly, Monthly, Custom

Spotify datasets tailored to your needs

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

データサブスクリプション

サブスクリプションをご利用いただくと、大幅な割引でデータセットにアクセスできます。

ファイル出力形式

JSON、NDJSON、JSON Lines、CSV、Parquet。.gz圧縮 (オプション)。

フレキシブルなデリバリー

Snowflake、Amazon S3バケット、Google Cloud、Azure、SFTP。

スケーラブルなデータ

インフラ、プロキシサーバー、ブロックを心配せずに拡張できます。

コスト削減

フィルターとフォーマットオプションを使用して任意のデータセットをカスタマイズします。

コードメンテナンス

データセットはウェブサイトの構造の変更に基づき維持されています。

シンプルな統合

SnowflakeおよびAWSとの統合のメリットを活用できます。

年中無休24時間対応のサポート

データ専門家の専任チームがお手伝いします。

コンプライアンスにおけるリーダー

データは倫理的に取得され、すべての個人情報保護法に準拠しています。

Get structured and reliable Spotify data

当社がデータを提供するので、お客様は他の業務に集中できます

大容量のウェブデータ

ブロック解除機能と24時間体制のIPローテーションにより、ウェブサイト上のすべてのデータポイントへのアクセスを保証します。

すぐに使用できるデータ

強力なデータ検証プロセスの一環として、データ収集プロセスのあらゆる側面が徹底的に検証されています。

自動データフロー

カスタムスケジュールを作成してデータデリバリーを自動化すれば、データがストレージにシームレスに流れます。

How companies use Spotify datasets

Market Analysis

Employ a Spotify dataset for in-depth market analysis, understanding trends in music consumption, genre popularity, and artist engagement. This data helps businesses tailor their marketing strategies to target specific audience segments effectively.
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Analyze the market

Brand Partnership Opportunities

Leverage insights from a Spotify dataset to identify potential brand partnership opportunities. Analyze listener demographics, music preferences, and engagement patterns to create synergistic collaborations with artists or labels, enhancing brand visibility and audience reach.
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Find new partnerships

Content Strategy Development

Utilize a Spotify dataset to inform content strategy for music platforms and producers. Analyze listening trends, seasonal preferences, and emerging genres to plan content releases, promotional activities, and exclusive deals, maximizing audience engagement and platform growth.
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Improve your content

Spotify Dataset FAQs

The Spotify dataset includes all major data points: track name, artist, album, genre, release date, track popularity, streaming count, playlist placements, listener demographics, related searches, and much more.

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

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

Dataset formats are JSON, NDJSON, JSON Lines, CSV, or Parquet. Optionally, files can be compressed to .gz.

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 Spotify dataset tailored to your unique needs, ensuring you receive precisely the information you require for your projects.

Absolutely, the Spotify 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.

Get your Spotify dataset today.