Quote collection across carriers
Define a grid of shopper profiles and we run them through carrier and aggregator quote forms on a schedule, recording premium, deductible and coverage so you can compare like with like over time.
Industries
What we scrape in insurance
Public premium quotes, product terms, regulator filings, agent directories and reviews, turned into comparable rows across carriers.
Insurance pricing is public but hard to collect: quotes sit behind multi-step forms, product terms live in PDFs and regulators publish rate filings in search portals that were never meant for bulk use. We script the quote journeys with the shopper profiles you define, parse policy documents into comparable fields and track filings and complaint data from state and national regulators. Everything is collected as an anonymous shopper would see it, with no account access and no real personal data.
Sources
Typical sources
Public pages and documents we have scraped in this vertical. Named sites are examples, not an exhaustive list.
- Carrier quote forms for motor, home, travel and pet cover
- Comparison sites and aggregators
- State insurance department rate filing portals
- Regulator complaint and enforcement listings
- Policy wording and product summary documents
- Agent and broker directories
- Carrier review pages on Trustpilot and similar sites
- Job boards for underwriting and claims roles
Schema
Fields
A common starting schema. You decide the final columns and names; we keep them stable across runs.
carrierproductprofile_idcoveragedeductiblepremiumtermquote_dateregionsourcescraped_at
Output
What a row looks like
carrier | product | profile_id | coverage | deductible | premium | term | quote_date | region | source | scraped_at |
|---|---|---|---|---|---|---|---|---|---|---|
| Example Insurance Co. | Motor comprehensive | PROFILE-07 | $100k liability | $500 | $1,184 / yr | 12 months | 2026-10-07 | Ohio | Carrier site | 2026-10-07 |
Values are illustrative placeholders to show shape and types, not records from any client or source.
Use cases
Jobs we are usually asked for
Rate filing and complaint tracking
Scrape new rate filings, approvals and complaint statistics from regulator portals as they appear, with the filing documents parsed into fields and the original URL kept for every record you receive.
Policy terms comparison data
Extract coverage limits, exclusions and fees from policy wordings and product summaries into a field-by-field table across carriers, refreshed whenever the documents change on the carrier's site, with the document version kept.
Questions
About insurance scraping
Do you submit real personal details into quote forms?
No. Profiles use synthetic, clearly fictional details that the forms accept, and we keep volumes low enough to look like a comparison shopper. Where a site's terms forbid automated quoting we say so and leave it out.
Can you track rate filings in all US states?
Most states publish filings through portals we can scrape or through SERFF; a few require manual requests. We list coverage state by state in the scoping response.
How often do premiums need to be refreshed?
Weekly or monthly is common for pricing studies; daily for aggregators watching a few products. Cadence is agreed in the quote along with the number of profiles.
What does an insurance dataset cost?
A one-off quote sweep of one carrier or aggregator starts at $500. Recurring multi-carrier collection is quoted monthly based on profiles and frequency.
Need insurance data? Tell us the sites.
Send the sources and the fields you need. An engineer looks at them the same day and replies with a plan and a price.