We extract location inventory, base rates, dynamic pricing signals, tax breakdowns, and fleet availability from Thrifty. 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 Search Results objects from thrifty.com. All fields typed and schema-versioned.
"search_id": "REQ-882910", "pickup_location": "LAX", "pickup_date": "2024-11-15T10:00:00Z", "dropoff_location": "LAX", "vehicle_class": "Compact", "base_rate": 42.5, "currency": "USD"
| # | search_id | pickup_location | pickup_date | dropoff_location | dropoff_date | vehicle_class |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Vehicle Details objects from thrifty.com. All fields typed and schema-versioned.
"sipp_code": "CCAR", "make_model": "Ford Focus or similar", "transmission": "Automatic", "doors": 4, "seats": 5, "bags": 2, "ac_included": true, "mileage_policy": "Unlimited"
| # | vehicle_id | sipp_code | make_model | transmission | doors | seats |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing Breakdown objects from thrifty.com. All fields typed and schema-versioned.
"base_price": 212.5, "taxes": 34.1, "location_fee": 15.0, "drop_fee": 0.0, "total_price": 261.6, "currency": "USD", "pay_now_discount": 10.5
| # | rate_id | base_price | taxes | location_fee | drop_fee | total_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Extras & Add-ons objects from thrifty.com. All fields typed and schema-versioned.
"name": "Child Infant Seat", "daily_rate": 13.99, "max_rate": 98.0, "tax_inclusive": false, "currency": "USD", "category": "Equipment", "mandatory": false
| # | extra_id | name | description | daily_rate | max_rate | tax_inclusive |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Location Info objects from thrifty.com. All fields typed and schema-versioned.
"location_code": "LAXT11", "name": "Los Angeles International Airport", "city": "Los Angeles", "country": "US", "airport_code": "LAX", "latitude": 33.9416, "longitude": -118.4085, "phone": "+1 877-283-0898"
| # | location_code | name | address | city | country | airport_code |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Thrifty scraper handles complex booking flows, dynamic rate adjustments, location inventory tracking, and multi-step form submissions with anti-bot circumvention built in.
Capture vehicle classes, SIPP codes, passenger capacity, luggage limits, and transmission types across all available inventory.
Extract base rates, Pay Now discounts, Pay Later pricing, and promotional rate codes applied during the booking session.
Isolate concession recovery fees, facility charges, local taxes, and vehicle licence fees from the base rental cost.
Map branch operating hours, exact coordinates, contact details, and airport shuttle availability across the global network.
Calculate inter-city and inter-state return surcharges by simulating multi-location pickup and drop-off queries.
Extract daily costs for Loss Damage Waiver (LDW), Liability Insurance Supplement (LIS), and Personal Effects Coverage.
Track pricing and availability for GPS navigation, child seats, ski racks, and toll passes per location.
Query rates across US, European, and APAC domains with accurate currency conversion and localized tax rules.
Monitor volatile airport locations with hourly polling to detect capacity-driven price surges and sold-out events.
Brief in. Clean data out.
Provide airport codes, date ranges, duration profiles, and vehicle classes. We design the extraction schema together.
We configure Playwright crawlers, manage session cookies, and handle form state transitions for thrifty.com.
Schema validation, missing rate checks, and outlier detection before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Car rental engines rely on strict session state and IP gating. Here is how we maintain stable extraction at scale.
Thrifty requires valid state tokens across the search, vehicle selection, and rate breakdown pages. We maintain isolated cookie jars and local storage instances per request to prevent session cross-contamination.
Car rental rates vary based on the point of sale. We route requests through residential proxies matching your target market to expose the exact rates presented to local consumers.
Instead of parsing brittle HTML, our Playwright workers intercept the underlying API responses during the search phase, capturing raw JSON payloads that contain unformatted base rates and internal category IDs.
High-frequency tracking of airport locations triggers WAF blocks. We distribute queries across thousands of residential IPs, randomising search parameters and request timing to blend with organic traffic.
Rental brands frequently rotate vehicle models and promotional banners. Our extraction logic relies on DOM-independent data attributes and fallback chains to ensure continuous data delivery.
Rival rental agencies track Thrifty's base rates and drop fees across major airport hubs to optimise their own dynamic pricing algorithms.
Online travel agencies ingest direct inventory and rate codes to verify API parity and identify missing promotional discounts.
Analysts monitor sold-out vehicle classes and price surges to infer competitor fleet utilisation and regional capacity constraints.
Enterprise travel managers audit contracted corporate rates against public Pay Now discounts to ensure compliance and cost efficiency.
Investment firms track average daily rates and location expansion to evaluate market share and revenue projections in the mobility sector.
Pricing teams analyse the cost of insurance waivers, child seats, and toll passes to optimise their own secondary revenue streams.
"Thrifty's dynamic pricing engine adjusts rates based on fleet utilisation and local demand, making static historical data obsolete for competitive intelligence."
Extracting reliable car rental data requires handling complex booking funnels, session cookies, and geographic IP gating. DataFlirt manages the residential proxies and Playwright clusters required to maintain consistent state across multi-step search queries, delivering clean pricing datasets directly to your warehouse.
Everything supported by our thrifty.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 crawl orchestration and retry logic. Playwright handles JavaScript execution, session cookies, and multi-step form submissions.
We maintain pools of residential ISP proxies. Rotation happens per-session to ensure consistent geographic pricing and prevent WAF blocks.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About thrifty.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing and inventory data is generally permissible under applicable law. DataFlirt extracts only public, non-authenticated rate information. We do not bypass login walls or extract personal customer data.
We use geo-targeted residential proxies to simulate requests from specific regions. This ensures you capture the exact rates presented to users in that specific market, avoiding generic or fallback pricing.
Yes. We navigate through the booking funnel to the final confirmation step to extract the base rate, concession recovery fees, local taxes, facility charges, and total estimated cost.
Yes. We configure pipelines to input distinct pickup and drop-off locations, capturing the associated drop fees and mileage restrictions applied to one-way routes.
For high-volatility airport branches, we can configure hourly polling to capture intraday price adjustments and sold-out events. Standard pipelines typically run on a daily cadence.
Yes. If provided with public promotional or corporate discount codes, we can inject them during the search phase to extract the adjusted rates alongside standard retail pricing.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily snapshot of major airport hubs or high-frequency tracking of specific vehicle classes, we build and operate the pipeline. Tell us what you need.
