Insurance dataset

Data from diverse sources like healthcare claims, policyholder demographics, risk assessments, and actuarial tables are crucial for companies to predict risks, understand client needs, and make data-driven underwriting decisions

  • Available as a custom dataset
  • Tap into all major public insurance data points
  • 100% compliant scrpaing
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_datasets_insurance
                              {
  "type": "object",
  "fields": {
    "search_results": {
      "type": "array",
      "active": true,
      "items": {
        "type": "object",
        "fields": {
          "policyholder_name": {
            "type": "text",
            "active": true,
            "sample_value": "Jane Smith"
          },
          "policy_number": {
            "type": "text",
            "active": true,
            "sample_value": "INS123456789"
          },
          "healthcare_claims": {
            "type": "array",
            "active": true,
            "sample_value": ["Claim 1: $1000", "Claim 2: $500"]
          },
          "risk_assessment_score": {
            "type": "number",
            "active": true,
            "sample_value": "85"
          },
          "insurance_coverage": {
            "type": "text",
            "active": true,
            "sample_value": "Comprehensive Health Insurance"
          },
          "premium_amount": {
            "type": "number",
            "active": true,
            "sample_value": "$1200"
          },
          "actuarial_data": {
            "type": "text",
            "active": true,
            "sample_value": "Life expectancy tables, morbidity rates"
          },
          "claim_history": {
            "type": "array",
            "active": true,
            "sample_value": ["Claim ID 1: Settled", "Claim ID 2: Under review"]
          },
          "coverage_start_date": {
            "type": "date",
            "active": true,
            "sample_value": "2023-01-01"
          },
          "coverage_end_date": {
            "type": "date",
            "active": true,
            "sample_value": "2024-01-01"
          }
        }
      }
    },
    "related_searches": {
      "type": "array",
      "active": true,
      "items": {
        "type": "object",
        "fields": {
          "related_search_term": {
            "type": "text",
            "active": true,
            "sample_value": "health insurance policies"
          },
          "related_search_link": {
            "type": "url",
            "active": true,
            "sample_value": "https://insurance.com/health"
          }
        }
      }
    },
    "url": {
      "type": "url",
      "required": true,
      "active": true
    }
  }
}
                              
                            

Insurance dataset sample

Choose from fully managed or self-managed insurance datasets. Fully managed datasets provide a hands-off experience and are managed by our partners. Self-managed custom datasets allow you to set up the project and validation rules. The insurance dataset may include the following data points: policyholder demographics, healthcare claims, risk assessments, insurance coverage details, actuarial data, claim history, premium amounts, and much 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

Insurance 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 Insurance 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 Insurance datasets

Market analysis

Conduct risk assessments and market analysis using insurance datasets. Data patterns from demographics and industry incidence rates help insurers refine risk models and determine the insurance needs of different market segments, allowing them to tailor and price products accordingly.
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Benchmarking

Analyzing insurance datasets enables companies to benchmark their products against their competitors, identify areas for differentiation, and understand market share. A company can identify its unique selling proposition and areas for differentiation by analyzing its policy offerings, premium structures, coverage limitations, and customer satisfaction ratings.
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Pricing strategy

Predict risk

Businesses can develop algorithms that predict risk more precisely by analyzing past claims, policyholder demographics, and risk factors. With this data-driven approach, underwriting processes can be significantly sped up, costs can be reduced, and customer satisfaction can be improved.
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Get your Insurance dataset today.