We extract flight schedules, dynamic fare pricing, cabin class availability, and route intelligence from Cathay Pacific. 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 cathaypacific.com. All fields typed and schema-versioned.
"flight_number": "CX840", "origin": "HKG", "destination": "JFK", "departure_time": "2026-06-15T16:15:00Z", "arrival_time": "2026-06-15T20:15:00Z", "duration_minutes": 960, "aircraft_type": "Airbus A350-1000", "direct_flight": true
| # | flight_number | origin | destination | departure_time | arrival_time | duration_minutes |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing and Fares objects from cathaypacific.com. All fields typed and schema-versioned.
"flight_number": "CX840", "departure_date": "2026-06-15", "cabin_class": "Business", "fare_family": "Flex", "total_price": 42500.0, "currency": "HKD", "seats_remaining": 4, "scraped_at": "2026-05-12T10:15:22Z"
| # | flight_number | departure_date | cabin_class | fare_family | base_fare | taxes_surcharges |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Route Network objects from cathaypacific.com. All fields typed and schema-versioned.
"origin_airport": "HKG", "destination_airport": "LHR", "distance_km": 9630, "frequency_per_week": 35, "operating_carrier": "Cathay Pacific", "seasonal_route": false, "equipment_list": "['Boeing 777-300ER', 'Airbus A350-1000']"
| # | origin_airport | destination_airport | distance_km | frequency_per_week | operating_carrier | stopover_airports |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Flight Status objects from cathaypacific.com. All fields typed and schema-versioned.
"flight_number": "CX253", "flight_date": "2026-05-12", "scheduled_departure": "14:40", "estimated_departure": "15:05", "terminal": "T1", "gate": "64", "status_code": "DELAYED"
| # | flight_number | flight_date | scheduled_departure | estimated_departure | scheduled_arrival | estimated_arrival |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Baggage Policies objects from cathaypacific.com. All fields typed and schema-versioned.
"route_zone": "Americas", "cabin_class": "Economy", "fare_family": "Light", "check_in_allowance_kg": 23, "cabin_allowance_kg": 7, "seat_selection_fee": 300.0, "currency": "HKD"
| # | route_zone | cabin_class | fare_family | check_in_allowance_kg | cabin_allowance_kg | extra_baggage_fee |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our scraper navigates complex booking flows, multi-city routing engines, and dynamic pricing matrices to deliver normalised flight data without the overhead of maintaining bot evasion infrastructure.
Extract complete timetables across the entire Cathay Pacific network, including codeshare flights, aircraft types, and operational days.
Capture base fares, taxes, and total prices across all cabin classes and fare families like Light, Essential, and Flex.
Monitor inventory levels and scarcity indicators to understand load factors and booking velocity on specific routes.
Extract pricing for one-way, return, and multi-city itineraries, including stopover durations and connection logic.
Separate base fares from fuel surcharges, airport taxes, and regulatory fees to normalise pricing data accurately.
Track costs for extra baggage, premium seat selection, and in-flight Wi-Fi across different routes and fare tiers.
Capture pricing in HKD, USD, GBP, or any supported local currency by managing session state and regional settings.
Run pipelines at daily, hourly, or custom intervals to capture intra-day yield management adjustments.
Reduce warehouse compute costs by receiving only records that have changed since the previous extraction run.
Brief in. Clean data out.
Provide origin-destination pairs, travel date ranges, and required cabin classes. We design the schema together.
We configure Playwright crawlers, proxy rotation, and session management to navigate the Cathay booking engine.
Schema validation, null-rate checks, and price-outlier detection before full production launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Airlines deploy aggressive CDN-level protection to block automated fare scraping. Here is how we maintain reliable data flow.
Cathay Pacific uses enterprise CDN protection to block headless browsers. We deploy residential proxies with spoofed TLS fingerprints and hardware-level browser variables to blend in with legitimate passenger traffic.
Flight pricing requires maintaining strict session state across multiple XHR requests. Our infrastructure handles cookie jars, CSRF tokens, and regional headers to ensure the booking engine returns accurate fares.
Fare matrices and calendar grids load asynchronously. We use Playwright to execute JavaScript, wait for network idle states, and capture the final rendered DOM before extracting price nodes.
Hitting a single airline domain too fast triggers IP bans. We distribute requests across thousands of residential IPs, randomising delays and pacing queries to respect target infrastructure limits.
Airlines frequently update their booking interfaces. We use fallback selector chains and API interception where possible to ensure data extraction continues even when the visual layout changes.
Rival airlines track Cathay Pacific pricing across overlapping routes to adjust their own yield management algorithms.
OTAs and metasearch engines enrich their inventory with direct pricing data to verify GDS feeds and find discrepancies.
Enterprise procurement teams audit booked fares against public pricing matrices to ensure travel policy compliance.
Aviation consultants analyse frequency, aircraft deployment, and fare structures to estimate route margins.
Financial analysts use seat availability signals and price fluctuations as leading indicators for regional travel demand.
Travel agencies monitor fare drops and promotional windows to trigger automated rebooking for existing clients.
"Cathay Pacific operates one of the most complex fare structures in Asia. Capturing that pricing matrix requires a pipeline built for scale and accuracy."
Airlines heavily protect their pricing engines. Extracting Cathay Pacific fares requires session state management, handling complex multi-leg routing logic, and bypassing aggressive CDN bot protection. DataFlirt manages this infrastructure so your pricing teams can focus on margin analysis rather than proxy rotation.
Everything supported by our cathaypacific.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.
We use Playwright to handle the heavy JavaScript rendering required by modern airline booking engines, managed through Scrapy middleware for scale.
Requests are routed through ISP-grade residential proxies to prevent IP blocking, with session stickiness to maintain booking flow continuity.
Airflow schedules extractions while Prometheus and Grafana track success rates, price outliers, and null fields to guarantee data integrity.
Data delivered to where your team already works — no new tooling required.
About cathaypacific.com scraping, legality, and pipeline operations.
Ask us directly →Scraping public flight schedules and pricing data is generally permissible. DataFlirt extracts only publicly visible, non-authenticated data from Cathay Pacific. We do not access private PNRs or passenger information. Clients should review airline terms of service and consult legal counsel for their specific commercial use cases.
Airline sites use advanced CDN mitigation. We bypass this using residential ISP proxies, strict session state management, and Playwright browsers configured with realistic TLS and canvas fingerprints to mimic human booking behaviour.
Yes. We can configure the extraction sessions to request pricing in HKD, USD, GBP, or any other currency supported by the Cathay Pacific booking engine.
Yes. The pipeline extracts the base fare and provides a separate breakdown for fuel surcharges, airport taxes, and other regulatory fees where displayed in the booking flow.
We support daily, hourly, or custom intervals. High-frequency tracking is limited only by the size of your route list and the concurrency limits required to avoid detection.
Yes. If a flight is marketed by Cathay Pacific but operated by an Oneworld partner, we extract the operating carrier details alongside the pricing.
Our minimum engagement typically starts with a defined list of 500 origin-destination pairs monitored daily. Pricing scales based on the number of routes, frequency of extraction, and required cabin classes.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off schedule dump or continuous fare monitoring across thousands of routes, we build and operate the infrastructure. Tell us your requirements.
