We extract flight schedules, dynamic fare pricing, ancillary costs, and route availability from Eurowings. 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 eurowings.com. All fields typed and schema-versioned.
"flight_number": "EW 9046", "origin_iata": "DUS", "destination_iata": "PMI", "departure_time": "2024-08-14T06:30:00Z", "arrival_time": "2024-08-14T08:50:00Z", "duration_minutes": 140, "aircraft_type": "Airbus A320", "operated_by": "Eurowings"
| # | flight_number | origin_iata | destination_iata | departure_time | arrival_time | duration_minutes |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Fare Pricing objects from eurowings.com. All fields typed and schema-versioned.
"flight_number": "EW 9046", "departure_date": "2024-08-14", "currency": "EUR", "basic_fare": 49.99, "smart_fare": 86.99, "bizclass_fare": 249.99, "taxes_included": true, "price_timestamp": "2023-11-04T10:15:00Z"
| # | flight_number | departure_date | currency | basic_fare | smart_fare | bizclass_fare |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Route Network objects from eurowings.com. All fields typed and schema-versioned.
"origin_airport": "DUS", "origin_city": "Dusseldorf", "destination_airport": "PMI", "destination_city": "Palma de Mallorca", "distance_km": 1345, "route_active": true, "seasonal_route": false
| # | origin_airport | origin_city | origin_country | destination_airport | destination_city | destination_country |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Ancillary Fees objects from eurowings.com. All fields typed and schema-versioned.
"flight_number": "EW 9046", "fare_tier": "BASIC", "cabin_bag_allowance": "1 small item", "checked_bag_fee": 17.0, "seat_selection_fee": 5.0, "priority_boarding_fee": 10.0, "change_flight_fee": 50.0
| # | flight_number | fare_tier | cabin_bag_allowance | checked_bag_fee | seat_selection_fee | priority_boarding_fee |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Flight Status objects from eurowings.com. All fields typed and schema-versioned.
"flight_number": "EW 9046", "scheduled_departure": "2024-08-14T06:30:00Z", "estimated_departure": "2024-08-14T06:45:00Z", "status": "Delayed", "terminal": "1", "gate": "B24", "delay_minutes": 15
| # | flight_number | scheduled_departure | estimated_departure | scheduled_arrival | estimated_arrival | status |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Eurowings scraper handles complex booking flows, dynamic pricing grids, and stringent airline bot mitigation to deliver structured flight data.
Extract complete timetables across the Eurowings network including departure, arrival, duration, and aircraft type.
Monitor dynamic pricing for BASIC, SMART, and BIZclass fare tiers simultaneously for any given route and date.
Scrape baggage fees, seat selection costs, and priority boarding add-ons that heavily influence total trip cost.
Extract 30-day price trends from the Eurowings savings calendar to identify historical pricing patterns.
Track active and seasonal routes, including connections operated by partner airlines like Lufthansa or Austrian Airlines.
Capture real-time delays, gate changes, and estimated arrival times directly from the flight status portal.
Extract fares localised to specific markets and currencies to detect regional price discrimination.
Monitor low-stock warnings and sold-out indicators for specific fare classes to estimate load factors.
Bypass Akamai and Datadome protections used by airline booking engines with residential proxies and TLS fingerprinting.
Brief in. Clean data out.
Provide origin-destination pairs, date ranges, or specific flight numbers. We design the extraction schema together.
We configure Playwright crawlers, proxy rotation, and session management to navigate the Eurowings booking flow.
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.
Airline booking engines employ aggressive bot mitigation and complex session states. Here is how we maintain stable extraction.
Eurowings requires sequential requests to generate valid pricing. We maintain full cookie jars and session tokens across the search, flight selection, and fare display steps.
Airline sites use advanced web application firewalls. We use residential proxies with clean IP reputations and Playwright instances that mimic human interaction patterns.
Fares and availability are loaded asynchronously via XHR. We execute full browser sessions to ensure all pricing tiers and ancillary costs hydrate completely.
High-frequency route polling triggers rate limits. We distribute requests across thousands of EU-based IP addresses to maintain high throughput without triggering blocks.
Aviation data is messy. We parse complex fare conditions, tax breakdowns, and baggage allowances into clean, queryable JSON fields.
Rival airlines and OTAs monitor Eurowings fare adjustments to optimise their own pricing algorithms.
Revenue management teams analyse fare elasticity and booking curves across the BASIC, SMART, and BIZclass tiers.
Aviation analysts track flight frequencies, seasonal route additions, and cancellation rates to estimate market share.
Metasearch engines integrate direct Eurowings pricing to provide comprehensive flight comparisons to consumers.
TMCs scrape schedules and ancillary fees to build accurate cost projections for corporate travel policies.
Insurance providers and logistics firms monitor live flight status and delay metrics to trigger automated compensation payouts.
"Eurowings pricing data is highly dynamic and fiercely guarded. Without a managed pipeline, tracking fare volatility across thousands of routes is an operational nightmare."
Most teams underestimate the complexity of scraping airline booking engines. Reliable Eurowings extraction requires residential proxies, stateful session management, and the ability to bypass aggressive WAF protections. DataFlirt absorbs that infrastructure burden so your analysts can focus on yield management and route optimisation.
Everything supported by our eurowings.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 concurrency and scheduling. Playwright executes the complex JavaScript required to navigate airline booking flows and render dynamic pricing grids.
We deploy EU-centric residential proxies to bypass Akamai and Datadome protections, ensuring consistent access to regional pricing.
Pipelines run on AWS ECS with Airflow managing dependencies. We handle the compute overhead of continuous price polling.
Data delivered to where your team already works — no new tooling required.
About eurowings.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available flight schedules and pricing data is generally permissible for commercial intelligence. We do not extract personal passenger data or bypass authenticated portals. Clients should review airline terms of service.
We utilise high-quality residential proxies, realistic browser fingerprinting via Playwright, and human-like interaction delays to navigate the booking flow without triggering CAPTCHAs or IP bans.
Yes. Our pipeline captures the BASIC, SMART, and BIZclass tiers simultaneously, alongside their respective baggage allowances and modification conditions.
Yes. We can scrape the 30-day savings calendar to provide a macro view of pricing trends across specific routes.
For targeted route lists, we can configure hourly or sub-hourly polling to capture intraday yield management adjustments.
Yes. We extract the 'operated by' metadata, allowing you to distinguish between native Eurowings flights and those operated by Lufthansa, Austrian Airlines, or wet-lease partners.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need daily schedule updates or continuous fare monitoring across thousands of routes — we scope, build, and operate the pipeline. Tell us what you need.
