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
historical datasets hero image
                              {
  "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
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

Historical datasets tailored to your needs

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

Suscripción a datos

Suscríbete para acceder a conjuntos de datos por un precio mucho más bajo.

Formatos de exportación de los archivos

JSON, NDJSON, JSON Lines, CSV, Parquet. Compresión opcional en .gz.

Entrega flexible

Snowflake, almacenamiento de Amazon S3, Google Cloud, Azure y SFTP.

Datos ajustables a escala

Ajusta la escala sin preocuparte por la infraestructura, por los servidores proxy o por los bloqueos.

Ahorro de costes

Personaliza cualquier conjunto de datos con filtros y con opciones de formato.

Mantenimiento de código

Los conjuntos de datos se mantienen en función de los cambios que se realicen en la estructura del sitio web.

Integraciones simplificadas

Saca partido de las integraciones con Snowflake y AWS.

Servicio de asistencia disponible las 24 horas del día

Un equipo exclusivo de expertos en datos está aquí para ayudarte.

Líderes en cumplimiento

Los datos se obtienen de forma ética y cumplen con todas las leyes de privacidad.

Get structured and reliable Historical data

Te facilitamos los datos mientras tú te centras en lo demás

Datos web de gran volumen

Con nuestras funciones de desbloqueo y de rotación de las direcciones IP las 24 horas del día, garantizamos el acceso a todos los puntos de datos de un sitio web.

Datos para uso inmediato

Todos los aspectos del proceso de recopilación de datos se validan a fondo como parte de nuestro potente proceso de validación de datos.

Flujo de datos automatizado

Crea cronogramas personalizados para automatizar la entrega de datos y comprueba cómo los datos fluyen sin problemas hacia su almacenamiento.

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.