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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
Abonnement
À partir de
$400/month
Une fois
À partir de
$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

Abonnement aux données

Abonnez-vous pour accéder aux ensembles de données à un coût considérablement réduit.

file outputs

Formats de fichiers

JSON, NDJSON, JSON Lines, CSV, Parquet. Compression .gz optionnelle.

flexible delivery

Livraison flexible

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

enriched datasets

Des données évolutives

Évoluez sans vous soucier de l'infrastructure, des serveurs proxy ou du blocage.

discounts

Réduction des coûts

Personnalisez n'importe quel ensemble de données à l'aide de filtres et d'options de formatage.

code maintanence

Maintenance du code

Les ensembles de données sont mis à jour en fonction des modifications apportées à la structure du site web.

api integrations

Intégrations simplifiées

Bénéficiez d'intégrations avec Snowflake et AWS.

support

Assistance 24/7

Une équipe spécialisée de professionnels des données est là pour vous aider.

compliance

Leaders en matière de conformité

Les données proviennent de sources éthiques et sont conformes à toutes les lois sur la protection de la vie privée.

Get structured and reliable historical financial data

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Nous fournissons les données et vous vous occupez du reste

Gros volume de données Web

Grâce à nos capacités de déblocage et à la rotation permanente des adresses IP, nous garantissons l’accès à tous les points de données d’un site Web.

Données immédiatement exploitables

Chaque aspect du processus de collecte des données est soumis à un processus rigoureux de validation des données.

Flux de données automatisé

Planifiez la livraison automatique des données et voyez comment elles seront facilement acheminées vers votre espace de stockage.

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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