We extract flight schedules, dynamic pricing, Avios redemption rates, and cabin availability from Qatar Airways. 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 qatarairways.com. All fields typed and schema-versioned.
"flight_number": "QR10", "origin_iata": "LHR", "destination_iata": "DOH", "departure_time_local": "2026-10-14T09:00:00", "arrival_time_local": "2026-10-14T17:50:00", "duration_minutes": 410, "aircraft_type": "Airbus A380-800", "stops": 0
| # | flight_number | origin_iata | destination_iata | departure_time_local | arrival_time_local | duration_minutes |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing & Fares objects from qatarairways.com. All fields typed and schema-versioned.
"flight_id": "QR10_20261014", "cabin_class": "Business", "fare_family": "Elite", "base_fare": 2450.0, "taxes_and_fees": 345.5, "total_price": 2795.5, "currency": "GBP", "avios_earned": 8500
| # | flight_id | cabin_class | fare_family | base_fare | taxes_and_fees | total_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Cabin & Amenities objects from qatarairways.com. All fields typed and schema-versioned.
"flight_id": "QR10_20261014", "aircraft_model": "Airbus A380-800", "qsuite_available": false, "super_wi_fi": true, "seat_pitch_inches": 52, "layout": "1-2-1", "lounge_access": true, "onboard_bar": true
| # | flight_id | aircraft_model | qsuite_available | super_wi_fi | seat_pitch_inches | layout |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Route Network objects from qatarairways.com. All fields typed and schema-versioned.
"origin_airport": "LHR", "dest_airport": "SYD", "direct_flight": false, "layover_airport": "DOH", "layover_duration_minutes": 145, "distance_miles": 10560, "oneworld_partner": false
| # | origin_airport | dest_airport | direct_flight | frequency_weekly | distance_miles | layover_airport |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Fare Rules & Baggage objects from qatarairways.com. All fields typed and schema-versioned.
"fare_class": "Economy Classic", "checked_bag_kg": 25, "cabin_bag_kg": 7, "cancellation_fee": 150.0, "change_fee": 100.0, "upgrade_eligible": true, "refundability": "Partial"
| # | fare_class | checked_bag_kg | cabin_bag_kg | cancellation_fee | change_fee | upgrade_eligible |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our airline scraper handles every layer of the booking engine: flight schedules, dynamic pricing matrices, Qsuite detection, and Avios calculations - with JavaScript rendering, session management, and anti-bot circumvention built in.
Flight numbers, departure times, arrival times, durations, and aircraft types across the entire Qatar Airways network.
Capture base fares, taxes, and total prices across Economy, Business, and First class cabins. Timestamped per crawl.
Detect Qsuite availability, seat pitch, layout configurations, and Super Wi-Fi presence per flight segment.
Extract Avios redemption requirements, Avios earning potential, and Qpoints multipliers for each fare family.
Track checked allowance, cabin baggage limits, cancellation fees, and change penalties per fare class.
Extract pricing in GBP, USD, EUR, QAR, and 40 other currencies with accurate local point-of-sale logic.
Identify flights operated by British Airways, Cathay Pacific, and other Oneworld partners booked through Qatar Airways.
Monitor hotel availability and package pricing for the Discover Qatar stopover program during long layovers.
Run one-off bulk exports or configure continuous pipelines at hourly, daily, or real-time cadences with change-detection diffing.
Brief in. Clean data out.
Provide route lists, date ranges, cabin classes, or currency requirements. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for qatarairways.com.
Schema validation, null-rate checks, price-outlier detection, and sample routes before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Airlines invest heavily in scraping detection to protect their pricing data. Here is how we stay resilient - and why teams choose managed infrastructure over DIY.
Airline booking engines use advanced bot detection operating on TLS fingerprints and IP reputation. Our crawlers use residential ISP proxies with realistic browser fingerprints, randomised request timing, and full cookie session management - trained on real user behaviour patterns.
The Qatar Airways booking flow is heavily JavaScript-rendered. We run full Playwright browser sessions with JavaScript execution, lazy-load triggering, and dynamic calendar hydration - capturing data that headless HTTP clients miss entirely.
Extracting accurate taxes and fees requires navigating multi-step booking funnels. We maintain stateful sessions across origin selection, date picking, and cabin selection to reach the final price breakdown without triggering rate limits.
For large route catalogues, we maintain a hash index of last-seen values per flight. Subsequent runs only push diffs - reducing compute cost, storage bloat, and downstream processing load. You get a clean changelog rather than full re-dumps.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, price outliers, schema drift, and coverage drops - and respond before you notice. SLA uptime is contractual, not aspirational.
Rival airlines monitor Qatar Airways pricing matrices on overlapping routes to optimise their own revenue management systems.
Online travel agencies integrate direct pricing and schedule feeds to verify GDS data and display accurate seat availability.
Loyalty program aggregators track Avios redemption rates and Qsuite availability to alert users to high-value reward flights.
Enterprise travel managers audit negotiated fare compliance and track baggage rule changes across frequently flown routes.
Aviation analysts track frequency changes, aircraft deployment, and codeshare expansions to model network strategy.
ML teams use pricing volatility and seat availability indicators as signals to forecast regional travel demand.
"Qatar Airways operates one of the most complex global routing networks. Extracting their dynamic pricing and Avios data at scale requires bypassing enterprise anti-bot layers."
Most teams underestimate the investment required: reliable airline scraping requires residential proxies, full JavaScript rendering for booking flows, CAPTCHA handling, and daily selector maintenance. DataFlirt absorbs that complexity so your engineers can focus on the analysis - not the infrastructure.
Everything supported by our qatarairways.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, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across global regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda (burst) and ECS (sustained). 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 qatarairways.com scraping, legality, and pipeline operations.
Ask us directly →We use residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. Our selectors have multi-layer fallback chains so DOM changes do not break the pipeline. We monitor for rate spikes in real time and trigger pool rotation automatically.
Yes. We parse the aircraft metadata and seat map indicators to confirm whether a specific flight segment offers the Qsuite product, rather than standard Business Class.
Yes. We extract both the Avios required to book a reward flight and the Avios earned when purchasing a cash fare, broken down by Privilege Club tier if required.
Real-time streaming pipelines achieve sub-60-minute latency for price and availability signals on a defined route set. Full network refreshes at daily cadence complete within a 6-12 hour window depending on size.
Yes. We can construct complex multi-city queries and extract data for the Discover Qatar stopover program, including hotel package pricing during Doha layovers.
Absolutely. We provide a sample run of up to 50 routes as part of the pre-engagement scoping process - so you can validate schema fit, field completeness, and data quality before signing any contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off route schedule dump or a continuous price-monitoring feed across 10,000 origin-destination pairs - we scope, build, and operate the pipeline. Tell us what you need.
