We extract real-time flight schedules, fare buckets, seat availability, and route combinations from kenya-airways.com. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake.
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 kenya-airways.com. All fields typed and schema-versioned.
"flight_number": "KQ100", "origin_airport": "NBO", "destination_airport": "LHR", "departure_time": "2024-11-12T09:35:00Z", "arrival_time": "2024-11-12T16:15:00Z", "duration_minutes": 520, "stops": 0, "aircraft_type": "Boeing 787-8 Dreamliner", "operating_carrier": "Kenya Airways"
| # | flight_number | origin_airport | destination_airport | departure_time | arrival_time | duration_minutes |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Fares objects from kenya-airways.com. All fields typed and schema-versioned.
"flight_number": "KQ100", "departure_date": "2024-11-12", "cabin_class": "Business", "fare_basis": "J1Y", "price": 2450.0, "currency": "USD", "taxes": 185.5, "seats_remaining": 4, "refundable": true, "scrape_timestamp": "2024-10-01T08:15:22Z"
| # | flight_number | departure_date | cabin_class | fare_basis | price | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Route Network objects from kenya-airways.com. All fields typed and schema-versioned.
"origin": "NBO", "destination": "JFK", "distance_km": 11840, "frequency_weekly": 7, "direct_flight": true, "transit_hub": "None", "terminal_origin": "1A", "terminal_destination": "4", "seasonal_route": false
| # | origin | destination | distance_km | frequency_weekly | direct_flight | transit_hub |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Fleet & Aircraft objects from kenya-airways.com. All fields typed and schema-versioned.
"aircraft_model": "Boeing 787-8", "manufacturer": "Boeing", "seat_capacity": 234, "business_seats": 30, "economy_seats": 204, "wifi_available": false, "power_outlets": true, "in_flight_entertainment": true
| # | aircraft_model | registration | manufacturer | seat_capacity | business_seats | economy_seats |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Baggage Policies objects from kenya-airways.com. All fields typed and schema-versioned.
"route_zone": "Africa to Europe", "cabin_class": "Economy", "checked_allowance_kg": 46, "checked_pieces": 2, "carry_on_allowance_kg": 12, "excess_fee_per_kg": 35.0, "currency": "USD", "sports_equipment_fee": 100.0
| # | route_zone | cabin_class | checked_allowance_kg | checked_pieces | carry_on_allowance_kg | excess_fee_per_kg |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our scraper navigates complex booking flows, handles session management, and extracts accurate pricing across all cabin classes directly from kenya-airways.com.
Extract departure and arrival times, flight durations, layovers, and aircraft types for all active routes.
Capture real-time pricing across Economy, Premium, and Business classes, including tax breakdowns and base fares.
Monitor limited seat warnings and fare bucket availability to gauge flight demand.
Scrape fares in KES, USD, GBP, EUR, and other supported currencies based on point of sale.
Identify flights operated by partner airlines like KLM or Air France under KQ flight numbers.
Extract pricing matrices across weekly or monthly calendar views to map fare trends.
Capture baggage allowances, excess weight penalties, and seat selection costs.
Run pipelines hourly or daily to track volatile airline pricing algorithms.
Receive normalised data ready for immediate analysis, bypassing complex HTML parsing.
Brief in. Clean data out.
Provide origin-destination pairs, date ranges, and frequency requirements. We design the schema.
We configure Playwright crawlers, manage booking flow sessions, and handle bot protection.
Schema validation, null-rate checks, and price anomaly detection before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket or warehouse on the agreed schedule.
Airline websites employ aggressive bot mitigation and complex session states. We handle the infrastructure so you receive clean data.
Airline pricing requires progressing through a specific sequence of search and selection pages. We maintain strict cookie persistence and session states to reach the final fare matrices without triggering session expiry errors.
Travel sites use advanced fingerprinting to block automated traffic. We utilise residential proxies and precise browser header spoofing to mimic genuine passenger search behaviour.
Fares and availability are loaded asynchronously via internal APIs. We use Playwright to execute JavaScript fully, wait for network idleness, and parse the hydrated DOM.
High-frequency searches from a single IP result in immediate bans. Our infrastructure distributes queries across thousands of IPs with randomised delays to stay under detection thresholds.
Flight data formats often change based on route or operating carrier. We normalise dates, currencies, and cabin classes into a strict, predictable schema.
Aggregate schedules and fares to populate booking engines and compare pricing against competitors.
Competitor airlines monitor KQ fare buckets and promotional pricing to adjust their own revenue management algorithms.
Analyse route frequencies, capacity, and seasonal schedule changes to forecast regional travel demand.
Track historical pricing on high-volume corporate routes to negotiate better corporate fare agreements.
Monitor wide-body aircraft schedules to estimate available belly-cargo capacity on key African routes.
Evaluate airline network expansion, codeshare partnerships, and hub connectivity at Jomo Kenyatta International Airport.
"Flight pricing is highly dynamic and heavily guarded by bot protection, requiring constant session rotation to map accurate fare buckets."
Airlines deploy sophisticated session tracking and dynamic rendering to prevent automated fare aggregation. DataFlirt handles the complex proxy rotation, session persistence, and multi-step form execution required to extract clean pricing data without triggering rate limits.
Everything supported by our kenya-airways.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 manage complex browser contexts to navigate multi-page booking flows, ensuring session cookies remain valid until fare extraction is complete.
Traffic is routed through high-quality residential IPs with strict geographic targeting to prevent currency defaults and block pages.
Transient errors common in airline booking engines are handled via intelligent exponential backoff and automatic session restarts.
Data delivered to where your team already works — no new tooling required.
About kenya-airways.com scraping, legality, and pipeline operations.
Ask us directly →Yes. We can configure the pipeline to input multi-city routes into the search engine and extract the combined itinerary pricing.
We support daily, hourly, or custom interval scraping depending on your target route volume and budget requirements.
We capture the public indicators shown during the booking process, such as 'Only 3 seats left at this price'.
We extract the exact currency displayed by the airline based on the point-of-sale configuration requested for the scrape.
Yes. We extract the baggage allowance specified for the selected fare class during the booking flow.
We only extract current and future flight data available on the live website. We build historical datasets over time from the day your pipeline begins running.
20-minute scoping call. Pilot dataset within the week. Production within two. Specify your target routes and delivery frequency. We handle the scraping infrastructure.
