We extract travel insurance policies, dynamic quotes, coverage limits, and provider reviews from Squaremouth. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Policy Details objects from squaremouth.com. All fields typed and schema-versioned.
"provider_name": "Seven Corners", "policy_name": "RoundTrip Choice", "am_best_rating": "A", "medical_limit": 500000, "cancellation_coverage": true, "pre_existing_waiver": true
| # | policy_id | provider_name | policy_name | am_best_rating | medical_limit | evacuation_limit |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Dynamic Quotes objects from squaremouth.com. All fields typed and schema-versioned.
"traveller_ages": "[35, 32]", "destination_country": "Italy", "residence_state": "New York", "trip_cost": 4500, "premium_amount": 184.5, "currency": "USD", "quote_timestamp": "2023-10-24T14:22:00Z"
| # | quote_id | policy_id | traveller_ages | destination_country | residence_state | trip_cost |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Provider Reviews objects from squaremouth.com. All fields typed and schema-versioned.
"star_rating": 5, "review_title": "Fast claim processing", "claim_filed": true, "claim_outcome": "Paid", "travel_destination": "Japan", "review_date": "2023-09-12"
| # | review_id | provider_name | policy_name | reviewer_name | star_rating | review_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Coverage Limits objects from squaremouth.com. All fields typed and schema-versioned.
"coverage_type": "Travel Delay", "coverage_limit": 1000, "deductible": 0, "wait_period_hours": 6, "per_person": true, "primary_coverage": false
| # | policy_id | coverage_type | coverage_limit | deductible | per_person | primary_coverage |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Provider Metadata objects from squaremouth.com. All fields typed and schema-versioned.
"provider_name": "Trawick International", "am_best_rating": "A", "total_reviews": 14205, "average_rating": 4.6, "policies_offered": 12, "headquarters": "Florida"
| # | provider_id | provider_name | founded_year | headquarters | am_best_rating | total_reviews |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Squaremouth scraper handles complex multi-step form submissions, state-specific policy rendering, and strict bot protection to deliver clean premium matrices.
Automate form submissions for precise dates, traveller ages, and trip costs to extract accurate premium amounts.
Extract granular medical, cancellation, and baggage limits per policy to map total coverage value.
Monitor Cancel For Any Reason availability and calculate exact premium multipliers across providers.
Capture star ratings, claim outcomes, and qualitative feedback from verified Squaremouth users.
Track underwriter financial strength ratings across all listed insurance providers.
Extract look-back periods, waiver requirements, and specific medical exclusions.
Iterate through all 50 US states to map regional policy variations and availability.
Generate quotes across varied traveller age brackets to map exact pricing curves.
Run daily or weekly rate checks against defined traveller profiles to track premium fluctuations.
Brief in. Clean data out.
Provide traveller demographic matrices, destinations, and trip costs. We design the extraction schema.
We configure Playwright crawlers, form automation, and CAPTCHA handling for squaremouth.com.
Schema validation, premium outlier detection, and coverage mapping before full launch.
JSON / CSV / Parquet pushed to your S3 bucket or Snowflake stage on agreed cadence.
Extracting insurance data requires more than simple HTTP requests. Here is how we bypass stateful forms and strict bot mitigation.
Squaremouth requires multi-step form submissions to generate quotes. We automate Playwright sessions to inject dates, costs, and demographic vectors precisely.
Quote endpoints are heavily protected. We route requests through residential proxies with realistic browser fingerprints and randomised typing delays.
Policy availability changes based on the traveller's state of residence. Our pipeline iterates through all combinations to build a complete availability matrix.
Insurance comparison DOMs shift frequently. We use fallback chains and structured data extraction to maintain pipeline integrity when layouts change.
We alert on null-rate spikes, missing premium values, and coverage drops. SLA uptime is contractual, ensuring your actuarial models always have fresh data.
Insurance providers monitor competitor premiums across specific age bands and destinations to adjust pricing.
Actuaries analyse market gaps in coverage limits and CFAR offerings to design new travel policies.
Underwriters track premium elasticity and market positioning for specific trip cost tiers.
Extract user reviews to evaluate competitor claim processing speeds and customer satisfaction metrics.
Analysts track provider market share, rating trends, and new policy launches over time.
Other travel platforms benchmark their insurance partnerships against Squaremouth's extensive inventory.
"Squaremouth aggregates the most complex pricing matrix in travel insurance, but extracting that data requires simulating millions of traveller profiles."
Most teams underestimate the investment required: reliable Squaremouth scraping requires stateful form submissions, CAPTCHA bypass, residential proxies, and complex schema normalisation. DataFlirt absorbs that complexity so your engineers can focus on actuarial analysis, not infrastructure maintenance.
Everything supported by our squaremouth.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Handles complex multi-step quote forms, date pickers, and dynamic state-based dropdowns required to surface premiums.
Maintains US-based ISP proxy pools to bypass strict quote endpoint rate limits and IP blocking heuristics.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and matrix iteration.
Data delivered to where your team already works — no new tooling required.
About squaremouth.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available insurance quotes and reviews is generally permissible. DataFlirt targets only public, non-authenticated policy and premium data. We do not extract personal data or circumvent authentication walls.
We use Playwright to programmatically inject traveller demographics, trip costs, and dates into the required input fields to surface the dynamic pricing matrix.
Yes. We configure pipelines to iterate through every origin state to capture regional policy variations and specific compliance requirements.
We can run daily rate checks against specific traveller profiles to track premium fluctuations over time, delivering updates within hours.
Yes, we extract medical limits, evacuation caps, baggage delay rules, and CFAR availability per policy.
Our smallest packages start at defined destination and age matrices with weekly delivery. Contact us with your specific actuarial requirements.
Absolutely. We provide a sample run of up to 500 quotes across specific profiles before committing, allowing you to validate schema fit.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off policy comparison matrix or a continuous premium monitoring feed, we build and operate the pipeline. Tell us what you need.
