We extract policy pricing, coverage limits, deductibles, and medical benefits from allianz-travel.com. Delivered as clean JSON, CSV, or Parquet to S3 or BigQuery 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 Plan Pricing objects from allianz-travel.com. All fields typed and schema-versioned.
"plan_name": "OneTrip Prime", "base_price": 145.0, "destination": "France", "duration_days": 14, "age_tier": "35-44", "currency": "USD"
| # | plan_name | base_price | destination | duration_days | age_tier | trip_cost |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Medical Coverage objects from allianz-travel.com. All fields typed and schema-versioned.
"plan_name": "OneTrip Prime", "emergency_medical_limit": 50000, "dental_limit": 750, "evacuation_limit": 500000, "pre_existing_waiver": true, "deductible_amount": 0
| # | plan_name | emergency_medical_limit | dental_limit | evacuation_limit | pre_existing_waiver | telemedicine_included |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Trip Protection objects from allianz-travel.com. All fields typed and schema-versioned.
"plan_name": "OneTrip Prime", "cancellation_limit": 100000, "interruption_limit": 150000, "delay_limit": 800, "baggage_loss_limit": 1000, "cancel_for_any_reason": false
| # | plan_name | cancellation_limit | interruption_limit | delay_limit | missed_connection_limit | baggage_loss_limit |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Policy Details objects from allianz-travel.com. All fields typed and schema-versioned.
"plan_id": "OTP-2024", "underwriter": "Jefferson Insurance Company", "policy_pdf_url": "https://www.allianz-travel.com/docs/otp-2024.pdf", "free_look_period_days": 15, "customer_service_number": "1-866-884-3556", "claims_url": "https://www.allianz-travel.com/claims"
| # | plan_id | underwriter | policy_pdf_url | effective_date | terms_conditions_url | free_look_period_days |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Destination Rules objects from allianz-travel.com. All fields typed and schema-versioned.
"country_code": "FR", "region": "Europe", "mandatory_insurance_flag": true, "covid_coverage_required": false, "min_medical_limit": 30000, "visa_compliant": true
| # | country_code | region | mandatory_insurance_flag | covid_coverage_required | min_medical_limit | premium_multiplier |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Our Allianz scraper handles complex multi-step quote forms, dynamic pricing matrices, and policy document extraction with JavaScript rendering and session management built in.
Automate quote flows across age, trip cost, and destination matrices to build comprehensive pricing datasets.
Parse exact limits for medical, cancellation, and baggage claims directly from the policy summary tables.
Track premium variations based on trip duration, traveler demographics, and state of residence.
Extract and map PDF links for terms, conditions, and exclusions for compliance auditing.
Scrape regional variations and mandatory coverage flags required for visa compliance.
Differentiate pricing structures for one-off trips versus multi-trip annual policies.
Capture pricing for Cancel Anytime or rental car damage protectors added during checkout.
Extract localised pricing from regional Allianz portals across the US, UK, EU, and APAC.
Run continuous pipelines to detect premium adjustments or coverage limit changes automatically.
Brief in. Clean data out.
Provide destination lists, trip parameters, and age matrices. We design the quote extraction schema together.
We configure Playwright crawlers to navigate the dynamic quote engine and handle session tokens.
Schema validation, null-rate checks, and premium outlier detection before full launch.
JSON / CSV / Parquet pushed to your S3 bucket or Snowflake stage on agreed cadence.
Insurance quote engines rely on complex session state and strict rate limits. Here is how we extract pricing at scale.
Allianz uses single-page applications for quote generation. We use Playwright to simulate user journeys, inputting parameters and waiting for network idle states to capture the final pricing arrays.
Pricing endpoints validate requests using CSRF tokens generated on the landing page. Our crawlers maintain strict cookie jars and token headers across the entire quote flow.
Coverage details are often hidden in accordions or modals. We execute JavaScript to expose these elements and parse the underlying React components into structured JSON.
Generating thousands of quotes from a single IP triggers WAF blocks. We distribute the quoting matrix across residential proxies, mimicking normal consumer behaviour.
We maintain a hash index of coverage limits and exclusions. Subsequent runs only push diffs, alerting your team immediately when Allianz alters policy terms.
Insurtechs track Allianz premiums across demographics to optimise their own pricing models.
Risk teams ingest pricing matrices to benchmark their actuarial models against a market leader.
Travel portals sync live pricing and coverage limits for comparison engines.
Analysts evaluate product offerings and coverage trends in post-COVID travel insurance.
Audit policy text changes for regulatory benchmarking and competitive intelligence.
TMCs map insurance costs against corporate booking tools to forecast travel spend.
"Allianz operates one of the most complex dynamic pricing engines in travel insurance. Extracting this data requires navigating multi-step quote flows at scale."
Insurance quote engines are designed to prevent automated scraping. They rely on complex session state, CSRF tokens, and strict rate limits. DataFlirt manages the proxy rotation and browser automation so your actuaries and engineers get clean pricing matrices without the infrastructure headache.
Everything supported by our allianz-travel.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.
Playwright handles React and Angular quote flows, executing JavaScript to expose coverage limits and pricing arrays.
Residential IPs distribute request load to avoid WAF rate limiting on sensitive quoting endpoints.
Airflow schedules massive matrix permutations for destination and age-tier quoting across distributed workers.
Data delivered to where your team already works — no new tooling required.
About allianz-travel.com scraping, legality, and pipeline operations.
Ask us directly →Public quote data is generally permissible to scrape. DataFlirt targets only public, non-authenticated pricing and coverage data. We do not extract personal data or bypass authentication walls.
We use Playwright to simulate user journeys, inputting parameters like trip dates and age tiers, and waiting for network idle states to capture the final pricing.
Yes. We run combinatorial matrices based on your parameters, generating quotes for every combination of age, destination, and trip cost you require.
We extract the direct URLs to the policy documents. We can download and parse the PDFs into structured text upon request.
Pipelines can run daily or weekly depending on your tracking requirements. Actuarial changes are typically captured within 24 hours of going live.
No. We only extract base quotes that do not require PII or specific medical history inputs.
We support US, UK, EU, and APAC portals, adapting our extraction schemas to local DOM structures and regional compliance requirements.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off pricing matrix or a continuous coverage monitoring feed, we scope, build, and operate the pipeline. Tell us what you need.
