DatasetsDATASETS

NBA Datasets

Leverage our NBA dataset to optimize strategies
and uncover market opportunities in the basketball industry

  • Available as a custom dataset request
  • Get accurate data you can rely on
  • 100% compliant scraping
Get dataset
NBA datasets hero image
                              {
  "type": "object",
  "fields": {
    "search_results": {
      "type": "array",
      "active": true,
      "items": {
        "type": "object",
        "fields": {
          "player_name": {
            "type": "text",
            "active": true,
            "sample_value": "LeBron James"
          },
          "team": {
            "type": "text",
            "active": true,
            "sample_value": "Los Angeles Lakers"
          },
          "position": {
            "type": "text",
            "active": true,
            "sample_value": "Forward"
          },
          "points": {
            "type": "number",
            "active": true,
            "sample_value": 27
          },
          "rebounds": {
            "type": "number",
            "active": true,
            "sample_value": 8
          },
          "assists": {
            "type": "number",
            "active": true,
            "sample_value": 7
          },
          "game_date": {
            "type": "text",
            "active": true,
            "sample_value": "2024-10-05"
          },
          "opponent": {
            "type": "text",
            "active": true,
            "sample_value": "Golden State Warriors"
          },
          "link_to_game": {
            "type": "url",
            "active": true,
            "sample_value": "https://www.nba.com/game/0022100257"
          }
        }
      }
    },
    "related_searches": {
      "type": "array",
      "active": true,
      "items": {
        "type": "object",
        "fields": {
          "related_search_term": {
            "type": "text",
            "active": true,
            "sample_value": "NBA player statistics"
          },
          "related_search_link": {
            "type": "url",
            "active": true,
            "sample_value": "https://www.nba.com/stats/players/"
          }
        }
      }
    },
    "url": {
      "type": "url",
      "required": true,
      "active": true
    }
  }
}
                              
                            

NBA 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 NBA data points may include: player name, team, position, statistics (points, rebounds, assists, etc.), game date, opponent, 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
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

NBA datasets tailored to your needs

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

サブスクリプション

さまざまなファイル出力形式

データセットの形式はJSON、ndJSON、CSV、Excelに対応

複数の配信オプション

スケーラブルデータ

インフラ、プロキシサーバー、またはブロックを気にせずに拡張する

カスタム出力フィールド

特定のビジネス要件に合わせてカスタム出力フィールドを定義します

コードのメンテナンス

データのスケーリング

大量のデータ要求を処理可能なサーバーを定義

24時間年中無休のサポート

専用のアカウントマネージャーによりデータ収集を管理

データの品質保証

Eデータの信頼性・正確性を確保して、より良い意思決定を支援

Get structured and reliable NBA data

お客様が他の業務に全力を注げるように、当社がデータを提供

大量のウェブデータ

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。

即戦力となるデータ

データ収集プロセスのあらゆる側面が、当社の堅牢なデータ検証プロセスの一環として徹底的に検証されます。

シームレスなデータフロー

カスタムスケジュールを作成してデータ配信を自動化し、ストレージへのデータフローをシームレスに監視します。

How companies use NBA datasets

Player Performance Analysis

Analyze player statistics to identify top performers and potential areas for improvement.
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performance analysis

Team Strategy Development

Utilize game data to refine team strategies and enhance competitive edge.
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strategy development

Fan Engagement Optimization

Leverage player popularity and game highlights data to boost fan engagement through targeted marketing campaigns.
Get dataset
boost engagement

Get your NBA data today.

NBA Dataset FAQs

We will build you a custom NBA dataset based on your needs. Data points may include team names, player statistics, game scores, schedules, player salaries, historical performance, injury reports, and other related data.

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

Yes, you can purchase a NBA 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.

If you don’t want to purchase a dataset, you can start scraping public NBA data using our web scraping API.

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

Absolutely, the NBA 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.

Use our NBA dataset for various applications to enhance team management and fan engagement strategies. Analyzing these datasets can help organizations understand NBA dynamics and trends, enabling them to refine player performance and marketing strategies. You can access the full dataset or select a customized subset to suit your needs.

Popular use cases include: improving player performance analysis, refining team strategies, and optimizing fan engagement campaigns.