Insurance

Life Insurance Scraper API

Term and life plan data - premiums, cover options and riders across aggregators and insurer sites.

From $15/mo · 1,000 free API calls to start · see pricing

BOOK A SCOPING CALL ALL READY APIS
scrapeguys · life-insurance · sample response
{ "product_line": "term", "profile": "M 32 · non-smoker · 1Cr", "quotes": 12, "lowest_premium_mo": 1120, "riders": [ "CI", "ADB" ] }
What you can extract

Structured, ready to use

  • Term premiums by profile
  • Cover & tenure options
  • Riders & their pricing
  • Claim-settlement disclosures
  • Plan features & exclusions
  • Aggregator rankings
Example schema
FieldTypeExample
product_linestring"term"
profilestring"M 32 · non-smoker · 1Cr"
quotesnumber12
lowest_premium_monumber1120
ridersarray["CI", "ADB"]

The full schema is customized to your workflow on the scoping call.

example request · async jobs API
curl -X POST https://api.scrapeguys.com/v1/jobs \
  -H "X-API-Key: $SCRAPEGUYS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"target": "life-insurance", "params": {"age": 32, "cover": 10000000, "term_years": 30}}'

Illustrative request - field names and params for your deployment are fixed on the scoping call and documented in your workspace. Full request/response reference: API docs.

Use cases

What teams build on this

Premium benchmarking

Quotes across aggregators and insurer sites for identical profiles.

Plan intelligence

Features, add-ons and exclusions compared across plans.

Distribution insight

Which plans surface first - and at what price - by profile.

Guides & answers: Life insurance data Q&A · What is a web scraping API?

How it works

Scoped, built and operated for you

1

Scoping call

Fields, cadence, geography - shaped to your workflow. Docs & samples shared here.

2

We operate it

Anti-bot, proxies, parsing, monitoring - managed and SLA-backed on our side.

3

Clean JSON in

Async job API, BI feed, dashboard or MCP - one schema, your stack.

FAQ

Frequently asked questions

Which platforms do you cover?
Leading aggregators such as Policybazaar plus individual insurer websites - motor, car and life lines. The exact set is scoped to your comparison needs, and new insurers or aggregators are added as custom targets in days.
Can you run fixed quote profiles?
Yes. Consistent profiles (age, vehicle, registration city, IDV, cover and add-ons) are replayed on every run, so premiums are genuinely comparable over time and across insurers - the only honest way to track pricing moves in insurance.
Do you capture plan features, not just premiums?
Yes. Add-ons, exclusions, waiting periods, IDV bands and rider pricing where the platform exposes them - so product teams can compare the construction of a plan, not just its price.
How do I get the API documentation and a data sample?
API documentation is public at scrapeguys.com/docs - request format, response schemas, status codes and worked examples. For a sample dataset on your exact targets, book a short scoping call: each deployment is customized to your schema, fields and volumes, and most teams have a sample in hand within a day.
How fast can this go live for us?
A scoped deployment typically goes live as a production API in 48-72 hours. That includes the scraper itself, a wrapper API shaped to your workflow, custom fields added to the response, monitoring and alerting on our side, and a staging key so your team can validate the schema before production traffic starts.
How is the data delivered - do we have to integrate an API?
An API is one option, not a requirement. The same data layer ships as REST JSON APIs with async jobs and webhooks, scheduled exports into Power BI, Looker, Snowflake, BigQuery or Google Sheets, a white-label dashboard your team signs into with zero integration, or MCP tools your AI agents call live. You can mix channels - API for engineering, dashboard for the commercial team - on one deployment.
What happens when the target site changes or a scrape fails?
That is our problem, not yours. Every source is monitored around the clock - layout changes, anti-bot updates and success-rate drops page our engineers before they page you, and your field names stay stable through redesigns because we absorb the change behind the schema. Failed requests are retried automatically, and anything that still fails is not billed: pricing is success-based.

Need Life Insurance data in production?

A 20-minute scoping call gets you documentation, samples and a timeline - most deployments are live in 48-72 hours.

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