We extract vehicle availability, base pricing, tax breakdowns, Emerald Club tier rates, and location metadata from National Car Rental. 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 Vehicle Pricing objects from nationalcar.com. All fields typed and schema-versioned.
"location_id": "SFO", "pickup_date": "2026-08-14T10:00:00Z", "dropoff_date": "2026-08-21T10:00:00Z", "vehicle_class": "Full Size", "base_rate": 342.5, "total_estimated": 415.82, "currency": "USD", "emerald_club_price": 315.0
| # | location_id | pickup_date | dropoff_date | vehicle_class | base_rate | total_estimated |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Fleet Specs objects from nationalcar.com. All fields typed and schema-versioned.
"vehicle_class": "Full Size", "example_model": "Toyota Camry or similar", "passenger_capacity": 5, "luggage_capacity": 4, "transmission": "Automatic", "mileage_policy": "Unlimited", "features_list": "['Air Conditioning', 'Cruise Control', 'AM/FM Radio']"
| # | vehicle_class | example_model | passenger_capacity | luggage_capacity | transmission | fuel_policy |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Location Data objects from nationalcar.com. All fields typed and schema-versioned.
"location_code": "SFO", "location_name": "San Francisco Intl Arpt", "city": "San Francisco", "state": "CA", "zip_code": "94128", "airport_code": "SFO", "emerald_aisle_available": true
| # | location_name | location_code | address | city | state | zip_code |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Taxes & Fees objects from nationalcar.com. All fields typed and schema-versioned.
"quote_id": "Q-88921-SFO", "base_rate": 342.5, "concession_recovery_fee": 38.02, "customer_facility_charge": 20.0, "vehicle_license_fee": 12.5, "sales_tax": 2.8, "total_taxes": 73.32
| # | quote_id | vehicle_class | base_rate | concession_recovery_fee | customer_facility_charge | vehicle_license_fee |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Add-ons & Extras objects from nationalcar.com. All fields typed and schema-versioned.
"quote_id": "Q-88921-SFO", "collision_damage_waiver": 29.99, "supplemental_liability": 14.99, "gps_navigation": 12.99, "child_seat_infant": 10.99, "toll_pass": 5.99, "fuel_service_option": 65.0
| # | quote_id | collision_damage_waiver | personal_accident_insurance | supplemental_liability | gps_navigation | child_seat_infant |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our National Car scraper handles the complete booking flow: location searches, date selections, vehicle class filtering, and tax breakdowns, with session management and anti-bot circumvention built in.
Capture base rates, total estimated costs, and pay-later pricing across all vehicle classes for any date combination.
Simulate logged-in sessions to extract negotiated rates, Executive tier pricing, and Emerald Aisle availability.
Extract operating hours, address details, and service availability for airport and neighbourhood branches globally.
Monitor real-time stock levels by vehicle class to identify sold-out categories and demand spikes.
Parse line-item fees including concession recovery, customer facility charges, and local sales taxes.
Calculate drop-off surcharges and base rate variations for multi-city itineraries.
Track daily costs for collision damage waivers, supplemental liability, GPS units, and child seats.
Track price volatility for specific itineraries at 30, 60, and 90 days prior to pickup.
Extract rates in local branch currency alongside user-selected booking currency for arbitrage detection.
Run one-off bulk exports or configure continuous pipelines at hourly or daily cadences.
Brief in. Clean data out.
Provide location codes, date ranges, and vehicle classes. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, proxy rotation, and session management for nationalcar.com.
Schema validation, null-rate checks, and price-outlier detection before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Car rental platforms employ aggressive bot mitigation and complex session states. Here is how we maintain data flow.
National Car uses advanced bot detection. Our crawlers route through residential ISP proxies with realistic browser fingerprints, randomised request timing, and full cookie session management.
Pricing requires navigating multi-step booking flows with strict token validation. We maintain stateful Playwright sessions to progress from location search to final quote without triggering security resets.
Rental pricing is highly sensitive to exact hours and local timezones. Our pipeline explicitly manages timezone offsets to ensure accurate weekday versus weekend rate calculations.
For large date matrices, we maintain a hash index of last-seen values per quote. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, price outliers, schema drift, and coverage drops.
Car rental agencies track National Car rates across key airport locations to optimise their own daily pricing strategies.
Metasearch engines ingest direct-channel pricing to compare against OTA rates and identify parity violations.
Procurement teams verify that negotiated corporate discount codes are correctly applied across employee bookings.
Revenue managers use vehicle class stock-outs as a proxy for market demand to adjust yield management algorithms.
Analysts track fleet composition changes and EV adoption rates across different geographic regions.
Fleet operators automate their pricing updates based on National Car baseline rates and local inventory levels.
"National Car Rental's dynamic pricing and fleet availability data is critical for travel market intelligence, but hidden behind complex booking flows and session tokens."
Extracting rate parity data from rental car providers requires managing complex session states, handling strict bot mitigation, and parsing fragmented tax structures. DataFlirt manages this infrastructure so your analytics team receives clean, normalised pricing tables ready for immediate querying.
Everything supported by our nationalcar.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 orchestration and retry logic. Playwright manages JavaScript rendering, cookie sessions, and booking flow interactions.
We maintain pools of residential ISP proxies. Rotation happens per-request with sticky sessions required for the booking funnel.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About nationalcar.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing and location information is generally permissible under applicable law. DataFlirt targets only public, non-authenticated rate data. We do not extract personal data or circumvent authentication walls. Clients should consult legal counsel for specific use cases.
We use residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. Our systems maintain necessary session tokens throughout the booking flow.
Yes. We can simulate logged-in sessions using client-provided credentials to extract negotiated corporate rates or Executive tier pricing, provided it complies with our terms of service.
Pipelines can be configured for daily or sub-daily refreshes depending on the size of the location and date matrix. Real-time extraction is possible for targeted competitor monitoring.
Yes. Our extractors parse the final quote page to capture base rates, individual tax line items, concession fees, and the total estimated cost.
Our smallest packages start at a defined list of locations and date combinations with weekly delivery. We price based on volume and delivery frequency. Contact us for a scoped quote.
Yes. We provide a sample run of up to 50 location-date combinations as part of the pre-engagement scoping process so you can validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off location dump or a continuous price-monitoring feed across thousands of itineraries, we build and operate the pipeline. Tell us what you need.
