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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
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
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Historical financial datasets tailored to your needs

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

Data subscription

Subscribe to access datasets at a significantly reduced cost.

File output formats

JSON, NDJSON, JSON Lines, CSV, Parquet. Optional .gz compression.

Flexible delivery

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

Scalable data

Scale without worrying about infra, proxy servers, or blocks.

Cost savings

Customize any dataset using filters and formatting options.

Code maintenance

Datasets are maintained based on website structure changes.

Simplified integrations

Benefit from integrations with Snowflake and AWS.

24/7 support

A dedicated team of data professionals is here to help.

Leaders in compliance

Data is ethically obtained and compliant with all privacy laws.

Get structured and reliable historical financial data

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We’ll provide the data while you focus on the rest

High-volume web data

With our unblocking capabilities and round-the-clock IP rotation we ensure access to all data points on a website.

Data for immediate use

Every aspect of the data collection process is thoroughly validated as part of our robust data validation process.

Automated data flow

Create custom schedules to automate data delivery and watch the data flow seamlessly into your storage.

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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