We extract vehicle availability, dynamic pricing, branch locations, and fleet metadata from Hertz. 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 Branch Locations objects from hertz.com. All fields typed and schema-versioned.
"branch_id": "LHRT50", "name": "London Heathrow Airport", "city": "London", "country": "UK", "coordinates": "51.4700,-0.4543", "phone": "+44 843 309 3009"
| # | branch_id | name | address | city | country | coordinates |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Vehicle Fleet objects from hertz.com. All fields typed and schema-versioned.
"car_class": "Compact", "acriss_code": "CDMR", "make_model": "Ford Focus or similar", "doors": 5, "seats": 5, "transmission": "Manual", "fuel_type": "Petrol"
| # | car_class | acriss_code | make_model | doors | seats | transmission |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Availability objects from hertz.com. All fields typed and schema-versioned.
"pickup_branch": "LHRT50", "dropoff_branch": "LHRT50", "pickup_date": "2024-11-15T10:00:00Z", "dropoff_date": "2024-11-20T10:00:00Z", "pay_now_price": 215.5, "pay_later_price": 240.0, "currency": "GBP"
| # | pickup_branch | dropoff_branch | pickup_date | dropoff_date | car_class | pay_now_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Fees & Add-ons objects from hertz.com. All fields typed and schema-versioned.
"car_class": "Compact", "insurance_cdw": 15.0, "child_seat_fee": 12.5, "gps_fee": 9.0, "additional_driver_fee": 10.0, "young_driver_surcharge": 25.0, "currency": "GBP"
| # | car_class | insurance_cdw | insurance_tp | child_seat_fee | gps_fee | additional_driver_fee |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Rental Policies objects from hertz.com. All fields typed and schema-versioned.
"branch_id": "LHRT50", "deposit_amount": 200.0, "mileage_limit": "Unlimited", "cross_border_allowed": true, "cancellation_policy": "Free up to 48 hours", "grace_period": "29 minutes"
| # | branch_id | deposit_amount | mileage_limit | excess_mileage_fee | cross_border_allowed | payment_methods |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Hertz scraper handles location lookups, dynamic pricing engines, and availability calendars — with JavaScript rendering and session management built in.
Capture Pay Now and Pay Later rates across all vehicle categories for specified date ranges.
Extract ACRISS codes, passenger capacity, luggage limits, and transmission types per vehicle.
Map coordinates, operating hours, and contact details for airport and neighbourhood branches.
Calculate drop-off surcharges for multi-city itineraries automatically.
Track daily rates for collision damage waivers, child seats, and additional drivers.
Identify unlimited mileage offers versus capped daily limits and excess fees.
Extract localized pricing for US, European, and APAC rental markets.
Traverse availability matrices across multiple weeks to map supply curves.
Run continuous pipelines at daily cadences with change-detection diffing.
Brief in. Clean data out.
Provide branch IDs, city codes, or date matrices. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, and session management for hertz.com.
Schema validation, null-rate checks, and price-outlier detection before full launch.
JSON / CSV / Parquet pushed to your S3 bucket or BigQuery dataset on agreed cadence.
Car rental pricing is highly dynamic and bot-protected. Here is how we maintain reliable extraction at scale.
Travel sites deploy strict rate limits. We use residential ISP proxies with realistic browser fingerprints and full cookie session management to maintain access.
Pricing requires sequential API calls with valid session tokens. Our crawlers maintain state across the search, select, and quote phases.
Final quotes and tax calculations rely on client-side execution. We run full Playwright browser sessions to capture accurate final totals.
We optimise date-range queries to map availability and pricing curves without triggering abuse filters.
We alert on null-rate spikes, missing vehicle categories, and schema drift, responding before your downstream systems fail.
Rental operators track Hertz base rates and add-on fees to adjust their own dynamic pricing models.
Travel platforms ingest direct pricing to benchmark against GDS feeds and identify margin opportunities.
Analysts monitor stock-out events across vehicle classes to estimate local demand and fleet utilisation.
Procurement teams audit public rates against negotiated corporate contracts to ensure compliance.
Investors track branch footprint expansion and pricing power to evaluate market position.
Revenue managers correlate local event schedules with Hertz price surges to optimise yield.
"Hertz operates one of the largest global vehicle fleets. Tracking their dynamic pricing and availability reveals the pulse of the travel recovery."
Most teams underestimate the investment required: reliable Hertz scraping requires residential proxies, full JavaScript rendering, CAPTCHA handling, daily selector maintenance, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis — not the infrastructure.
Everything supported by our hertz.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 branch discovery and orchestration. Playwright manages booking flow sessions and dynamic price rendering.
We route requests through localised IP pools to access region-specific pricing and bypass rate limits.
Pipelines run on Kubernetes. Airflow handles scheduling, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About hertz.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing and location information is generally permissible. We target unauthenticated searches and do not circumvent login walls or extract personal customer data.
We use residential proxy rotation, realistic request timing, and session token management to distribute load and avoid triggering abuse filters.
Yes. We route requests through region-specific proxies to capture localised pricing and availability for US, EU, and APAC markets.
Pipelines can be configured for daily refreshes or higher-frequency intra-day scans for specific high-volume locations.
Yes. By specifying distinct pickup and drop-off branches, we capture the final quoted price including drop fees.
Our smallest packages start at a defined list of branches and date matrices. Contact us with your specific routing requirements for a quote.
Yes. We capture daily rates for insurance, child seats, GPS units, and additional driver surcharges.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off branch directory dump or a continuous price-monitoring feed across 10,000 locations — we scope, build, and operate the pipeline. Tell us what you need.
