Insurance Quote Scraper

Scrape insurance comparison sites like Policygenius, The Zebra, NerdWallet, Forbes Advisor, and Bankrate for insurance quote estimates and provider comparisons. This actor extracts provider names, monthly premiums, coverage amounts, deductibles, coverage types, and ratings across multiple insurance categories.

Features

• Scrapes multiple insurance comparison websites simultaneously for comprehensive coverage
• Supports auto, home, life, health, and renters insurance types
• Extracts provider names, premium estimates, deductibles, and ratings
• Deduplicates results by provider and source for clean datasets
• Works with empty input using sensible defaults (auto insurance, ZIP 75024)
• Outputs structured JSON data ready for analysis and comparison

Input Parameters

Parameter	Type	Default	Description
insuranceType	string	auto	Type of insurance (auto, home, life, health, renters)
zipCode	string	75024	ZIP code for location-based quotes
maxResults	integer	50	Maximum number of results to return

Output Fields

Each result in the dataset contains:

• provider - Insurance company name
• insuranceType - Type of insurance policy
• monthlyPremium - Estimated monthly premium cost
• coverageAmount - Coverage limit amount
• deductible - Deductible amount
• coverageType - Specific coverage category
• rating - Provider rating or score
• zipCode - Location ZIP code used
• url - Source page URL
• source - Website the data was scraped from
• scrapedAt - ISO timestamp of when data was collected

Use Cases

Insurance quote data is valuable for price comparison tools, insurance marketplaces, market research on premium trends, consumer financial planning applications, and competitive analysis in the insurance industry. Researchers and fintech companies use this data to understand pricing patterns across providers and regions.

Pricing

This actor uses pay-per-event pricing at $1.50 per 1,000 results. You are only charged for actual data delivered to your dataset.

Legal and Compliance

This actor scrapes publicly available information from insurance comparison websites. Users are responsible for ensuring their use of scraped data complies with applicable terms of service and regulations. Always review the target website's robots.txt and terms before large-scale scraping operations.