We extract flight schedules, dynamic pricing signals, fare rules, seat availability, and ancillary fees from thaiairways.com. Delivered as clean JSON, CSV, or Parquet to your infrastructure.
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 thaiairways.com. All fields typed and schema-versioned.
"flight_number": "TG910", "airline_code": "TG", "origin_airport": "BKK", "destination_airport": "LHR", "departure_time": "2024-11-15T00:15:00Z", "arrival_time": "2024-11-15T06:20:00Z", "duration_minutes": 785, "aircraft_type": "Boeing 777-300ER", "stops": 0
| # | flight_number | airline_code | origin_airport | destination_airport | departure_time | arrival_time |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing & Fares objects from thaiairways.com. All fields typed and schema-versioned.
"flight_number": "TG910", "departure_date": "2024-11-15", "cabin_class": "Economy", "base_fare": 25400.0, "taxes_fees": 8250.0, "total_fare": 33650.0, "currency": "THB", "refundable": false, "royal_orchid_miles": 4500
| # | flight_number | departure_date | cabin_class | fare_basis | base_fare | taxes_fees |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Seat Availability objects from thaiairways.com. All fields typed and schema-versioned.
"flight_number": "TG910", "departure_date": "2024-11-15", "cabin_class": "Business", "seats_remaining": 4, "fare_bucket": "J", "premium_seats_available": 2, "last_updated": "2024-10-01T14:30:00Z"
| # | flight_number | departure_date | cabin_class | seats_remaining | fare_bucket | seat_map_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Route Network objects from thaiairways.com. All fields typed and schema-versioned.
"origin_code": "BKK", "origin_city": "Bangkok", "destination_code": "NRT", "destination_city": "Tokyo", "distance_miles": 2860, "frequency_weekly": 21, "seasonal_route": false, "route_status": "Active"
| # | origin_code | origin_city | destination_code | destination_city | distance_miles | frequency_weekly |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Ancillary Services objects from thaiairways.com. All fields typed and schema-versioned.
"flight_number": "TG910", "service_type": "Extra Baggage", "description": "Pre-paid excess baggage 5kg block", "price": 1500.0, "currency": "THB", "weight_allowance_kg": 5, "booking_window_hours": 24
| # | flight_number | service_type | description | price | currency | weight_allowance_kg |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Thai Airways pipeline navigates complex booking engines, session states, and dynamic pricing algorithms to deliver structured fare and schedule data.
Extract origin, destination, departure, arrival, aircraft type, and layover details for all Thai Airways operated and codeshare flights.
Capture base fares, taxes, surcharges, and total prices across Economy, Premium Economy, Business, and First Class cabins.
Monitor remaining seat counts and specific fare buckets (Y, J, F, etc.) to gauge flight load factors and pricing thresholds.
Map the entire Thai Airways network, including seasonal routes, frequencies, and multi-city combinations.
Extract mileage accrual rates and award ticket pricing for Royal Orchid Plus frequent flyer program tiers.
Track costs for extra baggage, seat selection, special meals, and lounge access tied to specific fare rules.
Extract pricing in THB, USD, GBP, EUR, and other supported currencies directly from the localized booking engine.
Configure pipelines to poll specific high-value routes at minute-level intervals for real-time price monitoring.
Maintain complex state across multi-step search flows to access deep-link fares and hidden availability.
Brief in. Clean data out.
Provide origin-destination pairs, date ranges, and passenger configurations. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, session state management, and anti-bot circumvention for thaiairways.com.
Schema validation, null-rate checks, and fare-outlier detection before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Airline websites employ aggressive session management and bot mitigation. Here is how we maintain stable extraction from thaiairways.com.
Airline pricing requires navigating multi-step forms. We manage cookies, hidden tokens, and session state across the entire search-to-fare flow using Playwright, ensuring accurate final pricing.
Airlines limit search velocity per IP. We distribute requests across residential ISP proxies in Thailand and globally, mimicking normal traveler search patterns to avoid rate limits.
Booking engines frequently update UI frameworks. We use fallback chains targeting underlying API responses and structured data, isolating the pipeline from superficial frontend changes.
Total fares consist of base price, YQ surcharges, and airport taxes. We parse the detailed fare breakdown modal to provide granular cost components, not just the headline price.
Airlines occasionally display error fares or null prices. Our observability stack catches these anomalies, triggering retries or alerts before bad data enters your warehouse.
Online travel agencies sync schedule and pricing data to maintain parity and verify GDS feeds.
Rival airlines monitor Thai Airways pricing on overlapping routes to adjust their own fare buckets dynamically.
Travel management companies audit negotiated corporate rates against public web fares.
Aviation analysts track route frequencies and aircraft deployment to gauge market recovery and demand.
Legal tech firms monitor schedule changes and cancellations to automate passenger compensation claims.
Points aggregators track Royal Orchid Plus award availability to alert users to high-value redemption opportunities.
"Airline pricing is highly volatile. Accessing the underlying fare buckets and tax breakdowns requires navigating complex booking engines at scale."
Extracting data from thaiairways.com requires managing stateful sessions, parsing complex fare rules, and bypassing aggressive rate limits. DataFlirt handles the infrastructure, delivering clean aviation data so your team can focus on pricing strategy and market analysis.
Everything supported by our thaiairways.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 combined with Playwright manages the multi-step booking flows required to reach final pricing pages.
Residential proxies simulate searches from different geographic points of sale to capture localized pricing variations.
Airflow schedules high-priority route checks at minute-level intervals, executed on scalable AWS infrastructure.
Data delivered to where your team already works — no new tooling required.
About thaiairways.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available flight schedules and pricing data is generally permissible. DataFlirt extracts only public, non-authenticated data. We do not bypass login walls for passenger PNRs or frequent flyer accounts.
Yes. We use localized residential proxies to simulate searches originating from Thailand, the UK, the US, and other regions to capture point-of-sale pricing discrepancies.
We use Playwright to execute the full JavaScript search flow, maintaining cookies and session tokens required to access the final fare selection pages.
For monitored routes, we can achieve sub-5-minute latency via high-frequency polling, delivering changes immediately via Webhook.
Yes. We parse the fare breakdown details to separate base fare, airline surcharges (YQ/YR), and government/airport taxes.
Yes. We can monitor specific routes for Royal Orchid Plus award seat availability and mileage requirements.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need schedule aggregation or high-frequency dynamic pricing feeds — we build and operate the pipeline. Tell us your route requirements.
