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
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                              {
  "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

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 data

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 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.