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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
TRUSTED BY 20,000+ CUSTOMERS WORLDWIDE
TRUSTED BY 20,000+ CUSTOMERS WORLDWIDE
{
"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.
-
Initial setup
Add the URLs of your target website.
-
Sample creation
Get AI-generated schema and sample. Set up validation rules.
-
Proof of concept
The scraper is built based on schema and validation rules.
-
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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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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