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Historical Financial Data

Gain insights into historical financial data trends to enhance your app strategy and decision-making

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  • 320M company records available
  • Available as third party dataset
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                              {
  "type": "object",
  "fields": {
    "companies": {
      "type": "array",
      "active": true,
      "items": {
        "type": "object",
        "fields": {
          "company_name": {
            "type": "text",
            "active": true,
            "sample_value": "ABC Corp"
          },
          "country": {
            "type": "text",
            "active": true,
            "sample_value": "USA"
          },
          "revenue": {
            "type": "number",
            "active": true,
            "sample_value": 500000000
          },
          "financial_stability_score": {
            "type": "number",
            "active": true,
            "sample_value": 85
          },
          "industry": {
            "type": "text",
            "active": true,
            "sample_value": "Technology"
          },
          "market_trend": {
            "type": "text",
            "active": true,
            "sample_value": "Growing"
          },
          "investment_opportunity": {
            "type": "boolean",
            "active": true,
            "sample_value": true
          },
          "link": {
            "type": "url",
            "active": true,
            "sample_value": "/Process.mvc?url=https://financialdata.com/company/abc-corp"
          }
        }
      }
    },
    "url": {
      "type": "url",
      "required": true,
      "active": true
    }
  }
}

Custom historical financial dataset sample

Choose from fully managed or self managed datasets. Fully managed datasets offers a hands-off experience and is managed by our partners. Self managed custom datasets you set up the project & validation rules. The Historical Financial Dataset includes revenue, performance, financial stability, market trends, investment opportunities, company growth, and industry insights.
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.

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Custom Dataset Pricing

CUSTOM DATASET
Suscripción
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$400/month
Una vez
Desde
$1,200
  • AI-Generated schema & sample
  • Control over data validation
  • Real-time product quantity est.
  • Daily, Weekly, Monthly, Custom
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Historical financial datasets tailored to your needs

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

Suscripción de datos

Suscríbase para acceder a los conjuntos de datos a un coste significativamente reducido.

file outputs

Formatos de archivo

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

flexible delivery

Entrega flexible

Snowflake, Amazon S3 bucket, Google Cloud, Azure y SFTP.

enriched datasets

Datos escalables

Amplíe sin preocuparse por la infraestructura, los servidores proxy o los bloqueos.

discounts

Ahorro de costes

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

code maintanence

Mantenimiento del código

Los conjuntos de datos se actualizan en función de los cambios en la estructura del sitio web.

api integrations

Integraciones simplificadas

Benefíciese de las integraciones con Snowflake y AWS.

support

Asistencia 24/7

Un equipo especializado de profesionales de datos está aquí para ayudarte.

compliance

Líderes en cumplimiento

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

Get structured and reliable historical financial data

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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 financial datasets

Risk Management

Employ statistical analysis on the historical financial dataset to assess the volatility and risk associated with different financial instruments. This data is crucial for managing risk in investment portfolios, allowing firms to adjust their strategies based on empirical evidence of past market behavior.
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Improve decision making

Market Trend Analysis

Utilize the historical financial dataset to conduct trend analysis, understanding the performance trends of specific securities or market sectors over time. This insight can help identify patterns or anomalies in market behavior, enabling investors to make informed decisions about when to buy or sell.
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Analyze market trends

Investment Strategy Development

Analyze historical financial data to inform investment strategy development. By understanding how different assets have performed under various economic conditions, investors can better allocate their portfolios to optimize returns and minimize risks.
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Trustpilot

Historical Financial Dataset FAQs

The historical financial dataset includes all major data points: company name, address, city, province, region, country, language, sales volume, year started, and a lot more. Subsets are available by categories and specific data points.

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

Yes, you can purchase a historical financial 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 historical financial dataset tailored to your unique needs, ensuring you receive precisely the information you require for your projects.

Absolutely, the historical financial 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 historical financial dataset today.

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