We extract flight schedules, dynamic pricing, Falcon Gold availability, and route networks from Gulf Air. 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 gulfair.com. All fields typed and schema-versioned.
"flight_number": "GF3", "departure_airport": "BAH", "arrival_airport": "LHR", "departure_time": "2026-10-14T01:15:00Z", "arrival_time": "2026-10-14T06:25:00Z", "duration_minutes": 430, "aircraft_type": "Boeing 787-9 Dreamliner", "operating_carrier": "Gulf Air", "stop_count": 0
| # | flight_number | departure_airport | arrival_airport | departure_time | arrival_time | duration_minutes |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Fares objects from gulfair.com. All fields typed and schema-versioned.
"flight_number": "GF3", "departure_date": "2026-10-14", "currency": "BHD", "economy_light_price": 145.5, "economy_smart_price": 185.0, "falcon_gold_smart_price": 650.0, "total_taxes": 42.5, "base_fare": 103.0
| # | flight_number | departure_date | currency | economy_light_price | economy_smart_price | economy_flex_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Route Network objects from gulfair.com. All fields typed and schema-versioned.
"origin_iata": "BAH", "destination_iata": "CDG", "direct_flight": true, "frequency_per_week": 7, "days_of_operation": "['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun']", "distance_km": 4820, "transit_hub": "None", "flight_numbers": "['GF19']"
| # | origin_iata | destination_iata | direct_flight | frequency_per_week | days_of_operation | distance_km |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Seat Availability objects from gulfair.com. All fields typed and schema-versioned.
"flight_number": "GF3", "date": "2026-10-14", "cabin_class": "Falcon Gold", "seats_remaining": 4, "pitch_inches": 80, "width_inches": 22, "layout": "2-2-2", "power_outlets": true
| # | flight_number | date | cabin_class | seats_remaining | seat_map_url | pitch_inches |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Baggage & Policies objects from gulfair.com. All fields typed and schema-versioned.
"fare_type": "Economy Smart", "cabin_bag_kg": 7, "checked_bag_kg": 23, "extra_bag_price": 45.0, "change_fee": 30.0, "cancellation_fee": 50.0, "miles_earned": 1200, "lounge_access": false
| # | fare_type | cabin_bag_kg | checked_bag_kg | extra_bag_price | change_fee | cancellation_fee |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our pipeline handles airline booking engines, dynamic calendar matrices, and session token expiration to deliver structured flight data.
Capture origin, destination, departure times, arrival times, aircraft type, and flight duration for all published routes.
Monitor price fluctuations across Economy Light, Economy Smart, Economy Flex, and Falcon Gold fare families.
Extract multi-day fare grids to map the lowest available prices across a 30-day window in a single pass.
Track remaining seat counts per cabin class and monitor inventory depletion rates prior to departure.
Parse baggage allowances, change fees, cancellation penalties, and Falconflyer mileage accrual per fare tier.
Extract fares in BHD, GBP, EUR, USD, and other supported currencies directly from the regional storefronts.
Capture transit durations, layover airports, and connecting flight details for multi-leg itineraries via Bahrain.
Isolate base fares from carrier-imposed surcharges, airport taxes, and government fees for accurate price intelligence.
Monitor timetable adjustments, equipment swaps, and flight cancellations across the network.
Brief in. Clean data out.
Provide origin-destination pairs, departure windows, and required fare families. We define the extraction schema.
We configure Playwright crawlers, proxy rotation, and session token management for the Gulf Air booking engine.
Schema validation, null-rate checks, and fare outlier detection before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Airlines deploy aggressive session tracking and rate limiting. Here is how we maintain extraction reliability.
Airline booking engines block datacentre IPs instantly. We route all search queries through distributed residential proxies with realistic TLS fingerprints.
Flight searches require valid session tokens and cookie handshakes. Our Playwright cluster maintains active sessions and rotates them before expiration.
Fare matrices load asynchronously via XHR requests. We execute JavaScript to trigger calendar hydration and capture the underlying JSON payloads.
We pace requests to mimic human search velocity, avoiding trigger thresholds that lead to CAPTCHA challenges or IP bans.
Pipelines alert on zero-fare returns, missing cabin classes, or sudden shifts in taxes, ensuring data integrity downstream.
Rival carriers track Gulf Air pricing on key Middle Eastern and European routes to adjust their own revenue management algorithms.
Online travel agencies integrate direct schedule and fare data to verify GDS availability and display accurate pricing.
Travel management companies audit corporate negotiated rates against public Falcon Gold and Economy fares.
Aviation analysts track frequency changes and aircraft deployment to model capacity on the Bahrain hub.
Pricing teams correlate seat availability depletion with fare increases to understand booking curves.
Travel insurance providers monitor schedule changes and cancellations to assess claim validity and risk.
"Gulf Air pricing and schedule data drives Middle Eastern transit strategies, but accessing it requires continuous circumvention of airline bot protection."
Airlines deploy aggressive session tracking and rate limiting to protect their inventory. Reliable Gulf Air extraction requires distributed residential proxies, token rotation, and headless browser clusters to parse dynamic calendar matrices. DataFlirt manages this infrastructure so you receive structured fare data without operational overhead.
Everything supported by our gulfair.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 executes JavaScript to load fare grids and manage session tokens.
Pools of residential ISP proxies prevent datacentre IP blocks. Rotation happens per session to maintain booking engine continuity.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling for daily or hourly fare updates. State stored in Postgres.
Data delivered to where your team already works — no new tooling required.
About gulfair.com scraping, legality, and pipeline operations.
Ask us directly →Scraping public flight schedules and fares is generally permissible. DataFlirt extracts only public data and does not bypass authentication for Falconflyer accounts. Clients should review terms of service and consult legal counsel.
We use residential proxies, headless browser execution, and strict concurrency limits to mimic normal user search patterns and avoid triggering blocks.
Yes. We extract pricing across all published fare families, including Economy Light, Economy Smart, Economy Flex, Falcon Gold Smart, and Falcon Gold Flex.
Yes. Where the booking engine exposes the breakdown, we capture the base fare, carrier-imposed surcharges, and total taxes as distinct fields.
Pipelines can be configured for daily runs or higher frequency intra-day checks on specific high-priority origin-destination pairs.
We extract the remaining seat count displayed by the booking engine for specific cabin classes on a given flight.
Engagements start at a defined list of origin-destination pairs with weekly or daily delivery cadences.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need daily schedule updates or continuous fare monitoring across the network, we build and operate the pipeline. Tell us your requirements.
