We extract flight schedules, dynamic pricing, fare families, and seat availability from Croatia Airlines. 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 croatiaairlines.com. All fields typed and schema-versioned.
"flight_number": "OU414", "origin": "ZAG", "destination": "FRA", "departure_time": "2026-05-12T07:45:00", "arrival_time": "2026-05-12T09:15:00", "duration": "1h 30m", "aircraft_type": "Airbus A319", "operated_by": "Croatia Airlines"
| # | flight_number | origin | destination | departure_time | arrival_time | duration |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Pricing & Fares objects from croatiaairlines.com. All fields typed and schema-versioned.
"flight_number": "OU414", "departure_date": "2026-05-12", "currency": "EUR", "flyeasy_price": 129.5, "flyopti_price": 159.5, "flyflexi_price": 219.5, "flybizz_price": 450.0
| # | flight_number | departure_date | currency | flyeasy_price | flyopti_price | flyflexi_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Route Network objects from croatiaairlines.com. All fields typed and schema-versioned.
"origin_iata": "ZAG", "destination_iata": "LHR", "origin_city": "Zagreb", "destination_city": "London", "direct_flight": true, "frequency_per_week": 4, "seasonal_route": false
| # | origin_iata | destination_iata | origin_city | destination_city | direct_flight | frequency_per_week |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Baggage & Ancillaries objects from croatiaairlines.com. All fields typed and schema-versioned.
"fare_type": "FlyEasy", "cabin_bag_allowance": "1x 8kg", "checked_bag_allowance": "0", "seat_selection_fee": 15.0, "refund_penalty": "Not permitted", "change_fee": 70.0, "priority_boarding": false
| # | fare_type | cabin_bag_allowance | checked_bag_allowance | checked_bag_weight | seat_selection_fee | refund_penalty |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Fleet Data objects from croatiaairlines.com. All fields typed and schema-versioned.
"model": "Airbus A220-300", "manufacturer": "Airbus", "passenger_capacity": 149, "business_class_seats": 12, "economy_class_seats": 137, "wifi_available": true, "power_outlets": true
| # | aircraft_id | model | manufacturer | passenger_capacity | business_class_seats | economy_class_seats |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Our flight scraper handles the dynamic booking engine: multi-city scheduling, live fare matrices, baggage rules, and code-share logic, with strict session management and anti-bot circumvention built in.
Extract complete timetables, departure/arrival times, and aircraft types for all domestic and international routes.
Monitor dynamic pricing across FlyEasy, FlyOpti, FlyFlexi, and FlyBizz fare families.
Identify flights operated by Star Alliance partners versus native Croatia Airlines metal.
Capture seat selection fees, extra baggage costs, and upgrade pricing across different routes.
Monitor award flight availability and mileage requirements for specific sectors.
Extract pricing in EUR, HRK, or any supported local currency via session header injection.
Scrape complex multi-city itineraries and connection times via the Zagreb hub.
Track the activation and deactivation of summer coastal routes connecting Split, Dubrovnik, and Zadar.
Bypass travel aggregator blocks using residential proxies and TLS fingerprinting.
Push only schedule modifications or price shifts since the last pipeline run.
Brief in. Clean data out.
Provide origin-destination pairs, date ranges, or specific flight numbers. We map the extraction schema.
We configure Playwright scripts to navigate the booking engine, handle date pickers, and manage sessions.
Null-rate checks, price anomaly detection, and timezone normalisation before full launch.
JSON / CSV / Parquet pushed to your S3 bucket or Snowflake stage on agreed cadence.
Airline booking engines use complex session management and dynamic pricing logic. Here is how we extract reliable data without triggering blocks.
Flight search requires maintaining strict cookie sessions across multiple POST requests. We manage the full state machine from search initiation to the fare selection page.
Croatia Airlines relies on JavaScript for date selection and fare matrix rendering. We execute full browser sessions to hydrate the DOM and extract accurate pricing.
Airlines block datacenter IPs aggressively. We route requests through European residential proxies to mimic legitimate traveler traffic and avoid CAPTCHAs.
Prices fluctuate based on the origin point and selected currency. We force consistent currency headers and normalise all extracted pricing into a standard numerical format.
Flight times are displayed in local time zones. Our pipeline automatically converts all departure and arrival timestamps to UTC while preserving the local timezone offset.
OTAs and competing airlines track Croatia Airlines pricing on key European routes to adjust their own fare structures.
Aviation analysts monitor frequency changes and seasonal route activations at Zagreb, Split, and Dubrovnik hubs.
Metasearch engines integrate direct pricing data to supplement GDS feeds and verify fare availability.
Revenue management teams analyse fare class depletion rates to understand booking curves and demand elasticity.
Consultancies track the pricing of FlyEasy versus FlyFlexi to model the airline's unbundling strategy.
Travel management companies track schedule changes and aircraft swaps to proactively rebook corporate clients.
"Croatia Airlines holds critical capacity data for the Adriatic region. Accessing their direct booking engine provides price signals that GDS feeds often miss or delay."
Relying solely on GDS data leaves blind spots regarding ancillary fees, branded fare families, and real-time availability. Scraping the direct web channel requires navigating complex session states, JavaScript-heavy booking flows, and aggressive bot mitigation. DataFlirt manages this infrastructure so you receive clean, structured flight data ready for analysis.
Everything supported by our croatiaairlines.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.
Airlines use strict state machines for booking flows. Our Playwright integration maintains cookie jars and CSRF tokens across the entire search-to-fare-selection journey.
Airlines alter prices based on the searcher's IP. We use geo-targeted residential proxies to extract accurate pricing for specific origin markets.
Flight searches are compute-heavy due to full browser rendering. We scale AWS Lambda and ECS clusters dynamically to handle thousands of concurrent route checks.
Data delivered to where your team already works — no new tooling required.
About croatiaairlines.com scraping, legality, and pipeline operations.
Ask us directly →Scraping public flight schedules and pricing is generally permissible for market research. DataFlirt extracts only publicly available data from croatiaairlines.com and bypasses authenticated passenger areas. Clients should review terms of service and ensure compliance with relevant data regulations.
We utilise Playwright to execute JavaScript, interact with date pickers, and wait for asynchronous fare matrices to load. We manage the session state strictly to ensure the booking flow does not reset midway.
Yes. Our pipeline extracts the complete matrix, including FlyEasy, FlyOpti, FlyFlexi, and FlyBizz, capturing the specific baggage and cancellation rules associated with each.
For targeted route pairs, we can configure pipelines to run hourly. Full network sweeps are typically executed on a daily cadence to balance compute costs with data freshness.
Yes. The extracted schema explicitly flags the operated-by carrier, allowing you to filter out flights operated by Star Alliance partners if you only need native Croatia Airlines capacity.
We can configure the crawler to set specific regional preferences and extract pricing in EUR, USD, or other supported currencies to match your internal reporting standards.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need daily price tracking on key Adriatic routes or a complete network schedule dump, we build and operate the infrastructure. Tell us your requirements.
