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
  • Millions of records avaialbe from tens of websites
  • 100% compliant scraping
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Historical datasets
                              {
  "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 datasets tailored to your needs

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

Suscripción

Diferentes formatos de salida de archivos

Conjuntos de datos en formato JSON, ndJSON, CSV o Excel

Múltiples opciones de entrega

Datos escalables

Escalar sin preocuparse por la infraestructura, servidores proxy o bloqueos

Campos de salida personalizados

Defina campos de salida personalizados para satisfacer requisitos empresariales específicos

Mantenimiento del código

Escalado de datos

Definición de servidores para gestionar grandes cantidades de solicitudes de datos

Soporte 24/7

Gestión de su recopilación de datos por un gestor de cuenta dedicado

Garantía de calidad de los datos

Garantice la fiabilidad y precisión de los datos para una mejor toma de decisiones

Get structured and reliable Historical datasets data

Nosotros le proporcionaremos los datos mientras usted se centra en el resto

Alto volumen de datos web

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

Datos para uso inmediato

Cada aspecto del proceso de recopilación de datos se valida exhaustivamente como parte de nuestro sólido proceso de validación de datos

Flujo de datos sin fisuras

Cree programaciones personalizadas para automatizar la entrega de datos y vea 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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Historical dataset for investment

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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Assess 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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Improved marketing

Get your Historical datasets dataset today.