We extract dynamic insurance quotes, policy coverage limits, plan comparisons, and destination advisories from Travel Guard. Delivered as clean JSON, CSV, or Parquet directly to your warehouse.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Insurance Quotes objects from travelguard.com. All fields typed and schema-versioned.
"quote_id": "TG-8492-BX", "plan_name": "Deluxe Plan", "base_price": 142.5, "total_premium": 168.0, "state_of_residence": "NY", "destination": "Italy", "trip_cost": 4500.0
| # | quote_id | plan_name | base_price | total_premium | state_of_residence | destination |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Plan Coverage objects from travelguard.com. All fields typed and schema-versioned.
"plan_name": "Preferred Plan", "benefit_category": "Medical Expense", "coverage_limit": 50000.0, "deductible": 50.0, "medical_evacuation": 500000.0, "trip_cancellation": "100% of Trip Cost"
| # | plan_name | benefit_category | coverage_limit | deductible | medical_evacuation | trip_cancellation |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Destination Risk objects from travelguard.com. All fields typed and schema-versioned.
"country_code": "MX", "country_name": "Mexico", "risk_level": "Moderate", "medical_risk": "High in rural areas", "security_risk": "Elevated", "travel_advisory": "Exercise increased caution"
| # | country_code | country_name | risk_level | medical_risk | security_risk | travel_advisory |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Add-on Modules objects from travelguard.com. All fields typed and schema-versioned.
"addon_id": "AD-RENTAL-01", "addon_name": "Rental Vehicle Damage", "daily_rate": 9.0, "flat_rate": "None", "applicable_plans": "['Deluxe', 'Preferred']", "max_coverage": 35000.0
| # | addon_id | addon_name | description | daily_rate | flat_rate | applicable_plans |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Provider Network objects from travelguard.com. All fields typed and schema-versioned.
"provider_id": "PRV-9921", "facility_name": "Hopital American de Paris", "facility_type": "Hospital", "country": "France", "city": "Paris", "direct_billing": true
| # | provider_id | facility_name | facility_type | country | city | address |
|---|---|---|---|---|---|---|
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Our Travel Guard scraper handles complex multi-step quote engines, dynamic pricing matrices, and state-specific regulatory documents to deliver clean actuarial data.
Programmatic submission of travel dates, ages, trip costs, and state of residence to capture dynamic pricing across all plan tiers.
Normalise benefit limits, deductibles, and exclusions across Deluxe, Preferred, and Essential plans.
Capture policy variations and mandatory disclosures required by different state insurance departments.
Extract AIG travel advisories, medical risk ratings, and security alerts for global destinations.
Map costs and coverage limits for optional riders like rental car protection and adventure sports coverage.
Extract structured text and limitation clauses directly from specimen policy documents linked in quote results.
Automated testing of quotes across age brackets to map actuarial pricing curves.
Maintain state across multi-page quote funnels without triggering bot mitigation systems.
Catalogue international hospitals and clinics within the Travel Guard direct-billing network.
Brief in. Clean data out.
Provide the combinations of ages, destinations, and trip costs you need mapped.
We configure Playwright scripts to navigate the quote funnel and parse the resulting coverage tables.
Schema validation, null-rate checks, and pricing anomaly detection before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket or data warehouse on an agreed cadence.
Travel Guard uses complex stateful web applications to generate quotes. Here is how we extract the data reliably.
Generating a quote requires passing data through multiple screens. We maintain session cookies and hidden form tokens to ensure the final pricing page loads correctly.
Insurance quote engines heavily rate-limit IP addresses. We use residential proxies to distribute requests and prevent IP bans during large-scale matrix testing.
To map pricing curves, our pipeline iterates through predefined lists of traveler ages, trip costs, and durations, capturing the resulting premium for each permutation.
Detailed coverage exclusions are often locked in PDF specimen policies. We download and parse these documents to extract the underlying text into structured fields.
We use robust XPath and CSS fallback chains to locate pricing data, ensuring the pipeline survives minor frontend updates by the Travel Guard development team.
Other travel insurance providers track Travel Guard pricing across demographics to adjust their own actuarial models.
Risk analysts compare coverage limits and exclusions against premium costs to evaluate market standards.
Travel booking platforms maintain cached pricing data to estimate insurance costs before querying live APIs.
Analysts track changes in destination risk ratings and coverage restrictions to monitor global security trends.
Consultancies analyse product tiers and add-on pricing to understand consumer demand in the travel insurance sector.
Insurtech startups use historical plan data to design competitive new policies targeting specific traveler demographics.
"Travel insurance pricing is entirely dynamic. You cannot map the market without programmatic form submission across thousands of trip permutations."
Extracting data from Travel Guard requires navigating multi-step quote engines and state-specific regulatory variations. DataFlirt handles the session management, form iteration, and proxy rotation required to build a comprehensive view of AIG travel insurance products.
Everything supported by our travelguard.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.
Scrapy handles matrix iteration and data normalisation. Playwright manages the stateful browser sessions required to navigate the quote funnel.
We route requests through US-based residential IPs to mimic genuine consumer traffic and prevent bot mitigation blocks.
Pipelines run on Kubernetes clusters with Airflow managing the complex dependency trees of matrix testing.
Data delivered to where your team already works — no new tooling required.
About travelguard.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly accessible quote engines and specimen policies is generally permissible. DataFlirt extracts only public pricing and plan data. We do not access authenticated user accounts, personal claims data, or violate PII regulations.
We use headless browsers via Playwright to programmatically fill out forms, click through the required steps, and maintain the session cookies necessary to reach the final pricing page.
Yes. We configure the pipeline to submit quotes using different US states of residence, capturing the specific pricing and coverage variations dictated by local insurance regulations.
Yes. When quotes include links to PDF specimen policies, our pipeline downloads the document and extracts specific clauses, exclusions, and benefit limits into structured text fields.
You provide the parameters (e.g., ages 18-80, trip costs $500-$10,000, top 20 destinations). Our orchestration engine generates the full matrix of combinations and queues them for extraction.
We typically start with a defined matrix of up to 100,000 quote permutations delivered weekly. Contact us to scope the exact parameters and frequency required for your analysis.
20-minute scoping call. Pilot dataset within the week. Production within two. Stop manually checking insurance quotes. We build and maintain the infrastructure to deliver structured actuarial data on your schedule.
