We extract route schedules, dynamic fare classes, Avios reward pricing, and seat availability from British 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 britishairways.com. All fields typed and schema-versioned.
"flight_number": "BA117", "origin_iata": "LHR", "destination_iata": "JFK", "departure_time": "2026-10-14T08:25:00Z", "arrival_time": "2026-10-14T11:20:00Z", "duration_minutes": 475, "aircraft_type": "Boeing 777", "operating_airline": "British Airways"
| # | flight_number | origin_iata | destination_iata | departure_time | arrival_time | duration_minutes |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Fares objects from britishairways.com. All fields typed and schema-versioned.
"flight_number": "BA117", "cabin_class": "Club World", "fare_type": "Business Flex", "price": 3450.0, "currency": "GBP", "taxes_fees": 215.5, "tier_points": 140, "scrape_timestamp": "2026-05-12T09:14:00Z"
| # | flight_number | cabin_class | fare_type | price | currency | taxes_fees |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Seat Availability objects from britishairways.com. All fields typed and schema-versioned.
"flight_number": "BA117", "departure_date": "2026-10-14", "cabin_class": "First", "seats_remaining": 2, "waitlist_status": false, "pitch_inches": 78, "width_inches": 22, "layout": "1-2-1"
| # | flight_number | departure_date | cabin_class | seats_remaining | waitlist_status | seat_map_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Route Information objects from britishairways.com. All fields typed and schema-versioned.
"origin_airport": "London Heathrow", "dest_airport": "New York JFK", "distance_miles": 3451, "terminal_out": "Terminal 5", "terminal_in": "Terminal 8", "lounge_access": "Galleries Club Lounge", "fast_track": true
| # | origin_airport | dest_airport | distance_miles | terminal_out | terminal_in | lounge_access |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Ancillaries objects from britishairways.com. All fields typed and schema-versioned.
"flight_number": "BA117", "checked_bag_fee": 0.0, "extra_bag_fee": 65.0, "seat_selection_fee": 85.0, "wifi_available": true, "meal_included": true, "change_fee": 0.0
| # | flight_number | checked_bag_fee | extra_bag_fee | seat_selection_fee | wifi_available | meal_included |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our British Airways scraper handles every layer of the booking platform: flight schedules, dynamic fare classes, Avios reward pricing, and seat availability with full session management.
Extract routes, departure times, arrival times, aircraft types, and flight numbers across the global network.
Capture live pricing for Economy, Premium Economy, Club World, and First class fares in multiple currencies.
Track Reward Flight Saver availability, required Avios points, and cash component options per route.
Extract Executive Club Tier Point yields for every route and fare class combination.
Identify operating carriers versus marketing carriers for American Airlines, Iberia, and other partners.
Monitor remaining seats per cabin class to gauge load factors and demand curves.
Extract fares in GBP, USD, EUR, and other local currencies based on point of sale.
Track costs for extra baggage, seat selection, and cabin upgrades.
Run one-off bulk exports or configure continuous pipelines at hourly or daily cadences.
Brief in. Clean data out.
Provide origin-destination pairs, date ranges, or cabin classes. We design the extraction schema together.
We configure Playwright crawlers, proxy rotation, session management, and anti-bot handling for britishairways.com.
Schema validation, null-rate checks, price-outlier detection, and route coverage 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. Here is how we stay resilient and why teams choose managed infrastructure over DIY.
British Airways uses advanced bot mitigation. Our crawlers use residential ISP proxies with realistic browser fingerprints, randomised request timing, and full cookie session management.
Flight data requires navigating complex, multi-step search forms. We maintain stateful browser sessions to traverse from origin selection through to the final fare matrix.
The booking engine is heavily JavaScript-rendered. We run full Playwright browser sessions with dynamic widget hydration, capturing data that headless HTTP clients miss entirely.
For large route networks, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, price outliers, and coverage drops. SLA uptime is contractual.
Online travel agencies monitor direct-channel pricing to ensure parity and optimise their own margin strategies.
Loyalty platforms track Avios seat availability to alert members when high-value reward flights open up.
Rival airlines track fare changes, cabin load factors, and promotional pricing across competing transatlantic and short-haul routes.
Aviation analysts track yield per seat and frequency changes to model route profitability and network planning.
Travel management companies track historical fare curves to advise corporate clients on optimal booking windows.
Pricing teams use historical fare data and seat availability metrics to train their own revenue management algorithms.
"Airline pricing is the original dynamic market. Capturing British Airways fare curves requires navigating complex booking flows, session state, and aggressive anti-bot layers."
Most teams underestimate the investment required: reliable airline scraping requires residential proxies, full JavaScript rendering, handling multi-step search forms, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our britishairways.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 and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows required by the booking engine.
We maintain pools of residential ISP proxies across UK and global regions. Rotation happens per-session to keep the multi-step booking flow intact.
Pipelines run on AWS Lambda and ECS. 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 britishairways.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing and schedule data is generally permissible. DataFlirt extracts only public, non-authenticated flight information. We do not extract personal data or bypass authentication walls for passenger records. Clients should review terms of service and consult legal counsel.
We use residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour to navigate the booking engine without triggering blocks.
Yes. We track Reward Flight Saver availability, required Avios points, and the various cash component options for every route and cabin class.
Pipelines can be configured for daily refreshes across a wide route network, or hourly checks for a targeted set of high-priority origin-destination pairs.
Yes. If a flight is bookable via britishairways.com, including codeshares with American Airlines, Iberia, or Qatar Airways, we extract the operating carrier and fare details.
Our packages start at a defined list of origin-destination pairs with daily delivery. For global network coverage, we price based on volume and delivery frequency.
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 the network, we scope, build, and operate the pipeline. Tell us what you need.
