We extract flight schedules, dynamic pricing tiers, route networks, and availability signals from austrian.com. 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 Flight Schedules objects from austrian.com. All fields typed and schema-versioned.
"flight_number": "OS 87", "origin": "VIE", "destination": "JFK", "departure_time": "2026-05-12T10:45:00Z", "arrival_time": "2026-05-12T14:30:00Z", "duration_minutes": 585, "aircraft_type": "Boeing 777-200", "operating_airline": "Austrian Airlines", "stops": 0
| # | flight_number | origin | destination | departure_time | arrival_time | duration_minutes |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Fares objects from austrian.com. All fields typed and schema-versioned.
"flight_number": "OS 87", "departure_date": "2026-05-12", "economy_light_price": 459.0, "economy_classic_price": 529.0, "economy_flex_price": 649.0, "business_price": 2150.0, "currency": "EUR", "taxes_included": true, "scraped_at": "2026-04-10T08:12:33Z"
| # | flight_number | departure_date | economy_light_price | economy_classic_price | economy_flex_price | business_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Route Network objects from austrian.com. All fields typed and schema-versioned.
"origin_airport": "VIE", "destination_airport": "LHR", "distance_km": 1275, "direct_flight": true, "frequency_per_week": 28, "first_departure": "06:40", "last_departure": "20:15", "seasonality": "Year-round"
| # | origin_airport | destination_airport | distance_km | direct_flight | frequency_per_week | first_departure |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Ancillary & Baggage objects from austrian.com. All fields typed and schema-versioned.
"fare_class": "Economy Light", "cabin_bag_kg": 8, "checked_bag_kg": 0, "seat_selection_fee": 15.0, "priority_boarding_fee": 0, "refund_policy": "Non-refundable", "change_fee": 150.0, "miles_earned": 125
| # | fare_class | cabin_bag_kg | checked_bag_kg | seat_selection_fee | priority_boarding_fee | refund_policy |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Fleet & Aircraft objects from austrian.com. All fields typed and schema-versioned.
"aircraft_code": "772", "manufacturer": "Boeing", "model": "777-200ER", "total_seats": 330, "business_seats": 38, "economy_seats": 292, "wifi_available": true, "power_outlets": true, "seat_pitch_cm": 79
| # | aircraft_code | manufacturer | model | total_seats | business_seats | economy_seats |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Austrian Airlines scraper handles complex booking flows, session management, and regional pricing tiers. We bypass anti-bot systems to deliver normalised fare and schedule data.
Extract departure times, arrival times, flight durations, aircraft types, and layover details for all routes originating or terminating in the Austrian network.
Capture pricing across all fare classes: Economy Light, Classic, Flex, and Business. Prices are timestamped and tied to specific departure dates.
Monitor low-stock warnings and sold-out cabin classes to gauge route demand and booking velocity.
Extract point-of-sale specific pricing using regional proxies to identify currency arbitrage and geographical fare disparities.
Track baggage allowances, seat selection fees, and change penalties associated with each fare tier.
Execute complex multi-segment and round-trip searches to capture bundled pricing that differs from one-way fares.
Run pipelines at hourly cadences for high-priority routes to track intraday price adjustments and revenue management algorithms.
Navigate airline anti-bot protections using residential proxy rotation, TLS fingerprinting, and automated CAPTCHA solvers.
All aviation metrics are normalised into standard ISO date formats and consistent currency codes for immediate warehouse ingestion.
Brief in. Clean data out.
Provide origin-destination pairs, date ranges, and frequency requirements. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for austrian.com.
Schema validation, null-rate checks, price-outlier detection, and route coverage verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Airlines deploy aggressive rate limiting and session tracking. Here is how we maintain data flow.
Airlines require strict sequence adherence. Our Playwright sessions navigate the exact DOM sequence a human would, retaining required cookies and session tokens across search, select, and price-confirmation steps.
Aviation sites rely on Akamai and Datadome. We use residential ISP proxies with realistic browser fingerprints and full cookie session management to bypass heuristic detection.
Fare matrices are heavily JavaScript-rendered. We use XPath and structured data extraction combined with Playwright's network interception to capture raw JSON payloads where possible, falling back to DOM parsing.
We distribute requests across thousands of IPs, pacing searches to avoid triggering volumetric blocks while maintaining high aggregate throughput for large route networks.
Every run emits structured logs. We alert on null-rate spikes, missing fare classes, and block rates. SLA uptime is contractual.
Competing airlines and OTAs monitor Austrian's fare adjustments to inform their own revenue management and dynamic pricing algorithms.
Metasearch engines integrate direct schedule and pricing feeds to supplement GDS data and ensure parity.
Aviation analysts track route frequencies, aircraft deployment, and seat capacity to model market share on specific European corridors.
Procurement teams analyse historical fare data on key corporate routes to negotiate better contracted rates.
Financial analysts correlate seat availability signals and fare escalation curves with macroeconomic travel demand.
Insurance and logistics firms monitor schedule changes, delays, and cancellations to trigger automated policies or reroute operations.
"Austrian Airlines operates a highly dynamic pricing engine across its European and global network. Tracking fare volatility requires persistent, session-aware extraction."
Most teams underestimate the investment required: reliable airline 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 austrian.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 handles the multi-step booking flow, cookie sessions, and DOM interaction required for airline sites.
We maintain pools of residential ISP proxies across European regions. Rotation happens with sticky sessions to ensure booking flows complete without IP mismatch errors.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About austrian.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available flight schedules and pricing data is generally permissible. DataFlirt targets only public, non-authenticated route and fare data. We do not extract personal data, access Miles & More accounts, or extract PNR details. Clients should review airline ToS and consult legal counsel.
We use residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. We manage the session cookies meticulously across the multi-step search process.
Yes. A single search query yields the full matrix of Economy Light, Economy Classic, Economy Flex, and Business class fares for that specific flight.
Pipelines can be configured to run daily, or up to hourly for specific high-value routes. The data reflects the exact pricing at the timestamp of extraction.
Yes. We can construct complex search parameters to capture bundled round-trip pricing, which often differs significantly from combining two one-way tickets.
Our minimum engagement starts with a defined set of origin-destination pairs (typically 50-500 routes) tracked daily. Pricing scales with query volume and frequency.
Absolutely. We provide a sample run of up to 20 routes 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 daily schedule dump or continuous fare monitoring across the network, we scope, build, and operate the pipeline. Tell us what you need.
