Historical datasets

Learn from historical datasets to make more data-driven decisions, such as identifying trends and forecasting future conditions, evaluating performance, and improving business strategies.

  • Available as a custom dataset request
  • Get accurate, up to date historical data
  • Free data samples for download in JSON or CSV
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                              {
  "type": "object",
  "fields": {
    "financial_records": {
      "type": "array",
      "active": true,
      "items": {
        "type": "object",
        "fields": {
          "record_id": {
            "type": "text",
            "active": true,
            "sample_value": "R12345"
          },
          "ticker_symbol": {
            "type": "text",
            "active": true,
            "sample_value": "AAPL"
          },
          "company_name": {
            "type": "text",
            "active": true,
            "sample_value": "Apple Inc."
          },
          "date": {
            "type": "date",
            "active": true,
            "sample_value": "2023-01-01"
          },
          "financial_metrics": {
            "type": "object",
            "active": true,
            "fields": {
              "open_price": {
                "type": "number",
                "active": true,
                "sample_value": 150.23
              },
              "close_price": {
                "type": "number",
                "active": true,
                "sample_value": 153.45
              },
              "high_price": {
                "type": "number",
                "active": true,
                "sample_value": 155.00
              },
              "low_price": {
                "type": "number",
                "active": true,
                "sample_value": 149.50
              },
              "volume_traded": {
                "type": "integer",
                "active": true,
                "sample_value": 25000000
              },
              "market_cap": {
                "type": "number",
                "active": true,
                "sample_value": 2400000000000
              }
            }
          },
          "economic_indicators": {
            "type": "object",
            "active": true,
            "fields": {
              "inflation_rate": {
                "type": "number",
                "active": true,
                "sample_value": 2.5
              },
              "unemployment_rate": {
                "type": "number",
                "active": true,
                "sample_value": 3.7
              },
              "interest_rate": {
                "type": "number",
                "active": true,
                "sample_value": 1.75
              }
            }
          },
          "currency_exchange_rates": {
            "type": "object",
            "active": true,
            "fields": {
              "USD_to_EUR": {
                "type": "number",
                "active": true,
                "sample_value": 0.93
              },
              "USD_to_JPY": {
                "type": "number",
                "active": true,
                "sample_value": 110.25
              },
              "USD_to_GBP": {
                "type": "number",
                "active": true,
                "sample_value": 0.78
              }
            }
          },
          "source": {
            "type": "object",
            "active": true,
            "fields": {
              "source_name": {
                "type": "text",
                "active": true,
                "sample_value": "Yahoo Finance"
              },
              "source_url": {
                "type": "url",
                "active": true,
                "sample_value": "https://finance.yahoo.com"
              },
              "retrieved_date": {
                "type": "date",
                "active": true,
                "sample_value": "2023-01-02"
              }
            }
          }
        }
      }
    },
    "url": {
      "type": "url",
      "required": true,
      "active": true,
      "sample_value": "https://example.com/historical_financial_data"
    }
  }
}
                              
                            

Historical dataset sample

Choose from fully managed or self-managed historical datasets. Fully managed datasets offer a hands-off experience, managed by our partners, while self-managed datasets let you set up the project and validation rules yourself. The historical data points may include: article title, author, abstract, journal, publication date, research trends over time, citation counts, and 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

Historical 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 Historical 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 Historical datasets datasets

Informed decisions

Discover trends in property prices, rental yields, vacancy rates, and sales volumes by analyzing historical datasets. Make informed investment decisions and maximize returns.
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Investment opportunities

Real estate data

Determine the value of properties based on comparable sales, property characteristics, and market trends using historical datasets. Price properties competitively and effectively.
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Property valuation

Consumer preferences

Analyze historical datasets to gain insights into consumer preferences, purchasing behavior, and demographics. Use this information to improve marketing and sales strategies.
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Marketing strategies

Get your historical dataset today.