We extract flight schedules, fare families, seat availability, and route intelligence from Vietnam Airlines. 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 vietnamairlines.com. All fields typed and schema-versioned.
"flight_number": "VN213", "origin_airport": "HAN", "destination_airport": "SGN", "departure_time": "2024-11-12T08:00:00Z", "arrival_time": "2024-11-12T10:15:00Z", "duration_minutes": 135, "aircraft_type": "Airbus A350", "operating_carrier": "Vietnam Airlines"
| # | 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 vietnamairlines.com. All fields typed and schema-versioned.
"flight_number": "VN213", "fare_family": "Economy Classic", "base_price": 1500000.0, "taxes": 350000.0, "total_price": 1850000.0, "currency": "VND", "booking_class": "N", "seats_remaining": 4
| # | flight_number | fare_family | base_price | taxes | total_price | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Route Availability objects from vietnamairlines.com. All fields typed and schema-versioned.
"origin": "HAN", "destination": "NRT", "travel_date": "2024-12-01", "total_flights": 5, "lowest_price": 8500000.0, "highest_price": 14200000.0, "currency": "VND", "direct_flights": 2
| # | origin | destination | travel_date | total_flights | lowest_price | highest_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Seat Maps objects from vietnamairlines.com. All fields typed and schema-versioned.
"flight_number": "VN30", "departure_date": "2024-11-15", "cabin_class": "Business", "total_capacity": 28, "available_seats": 12, "occupied_seats": 16, "seat_layout": "1-2-1", "exit_row_seats": "[]"
| # | flight_number | departure_date | cabin_class | total_capacity | available_seats | occupied_seats |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Baggage & Policies objects from vietnamairlines.com. All fields typed and schema-versioned.
"fare_family": "Economy Flex", "cabin_baggage_kg": 12, "checked_baggage_kg": 23, "extra_baggage_fee": 500000.0, "cancellation_fee": 300000.0, "change_fee": 0.0, "miles_earned": "100%", "lounge_access": false
| # | fare_family | cabin_baggage_kg | checked_baggage_kg | extra_baggage_fee | cancellation_fee | change_fee |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our scraper handles the complex booking engine state machines, aggressive session timeouts, and dynamic pricing logic required to extract accurate flight data.
Capture flight numbers, departure times, arrival times, aircraft types, and operating carriers for all domestic and international routes.
Monitor total prices, base fares, and tax breakdowns across multiple currencies and passenger types.
Extract specific pricing and inclusions for Economy Lite, Classic, Flex, Premium Economy, and Business classes.
Track remaining seat counts per booking class to estimate load factors and predict price changes.
Map direct flights and connections, including code-share agreements with SkyTeam partners.
Extract cabin and checked baggage allowances tied to specific fare families and routes.
Run pipelines at hourly or sub-hourly intervals to catch flash sales and dynamic pricing adjustments.
Bypass travel-industry specific bot protection using residential proxies and human-like request patterns.
Extract pricing in VND, USD, EUR, JPY, and other supported currencies directly from the booking engine.
Brief in. Clean data out.
Provide origin-destination pairs, date ranges, and passenger configurations. We design the extraction schema.
We configure crawlers, manage session state for the booking flow, and handle anti-bot circumvention.
Schema validation, price-outlier detection, and null-rate checks before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket or warehouse on your defined cadence.
Airline sites employ aggressive session management and bot protection. Here is how we maintain reliable extraction.
Airline booking engines require maintaining strict session state across multiple search steps. Our Playwright instances handle cookie jars, hidden form tokens, and session hydration to reach the final pricing pages without dropping the search context.
Travel sites aggressively rate-limit datacenter IPs. We route requests through residential ISP proxies in Vietnam and global markets, rotating IPs to prevent blocklists and CAPTCHA walls.
Flight results and fare matrices are rendered client-side. We execute the necessary JavaScript to populate the DOM, ensuring we capture all available fare families and date variants.
We normalise currency formats, date strings, and tax breakdowns into a strict schema, ensuring downstream systems receive clean, typed data regardless of the origin market.
Flight prices can spike or drop rapidly. Our observability stack monitors for extreme outliers or missing fare classes, alerting our engineers to investigate potential layout changes or blocking.
Rival airlines and OTAs monitor pricing on overlapping routes to adjust their own revenue management algorithms.
Meta-search engines ingest schedule and pricing data to provide comprehensive flight options to consumers.
Aviation analysts track route expansion, frequency changes, and capacity deployment across the network.
B2B travel management companies integrate direct pricing feeds to optimise corporate booking policies.
Revenue teams correlate seat availability and price changes with broader market demand indicators.
Tour operators combine real-time flight costs with hotel inventory to create dynamically priced holiday packages.
"Vietnam Airlines operates a complex dynamic pricing model across domestic and international routes - visibility requires continuous, distributed polling."
Travel data extraction requires handling aggressive session timeouts, complex booking engine state machines, and stringent bot protection. DataFlirt manages the residential proxies and session hydration so your team receives clean pricing feeds without the operational overhead. Focus on yield management, not scraper maintenance.
Everything supported by our vietnamairlines.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 the multi-step booking flow.
We maintain pools of residential ISP proxies across Vietnam and global regions. Rotation happens per-request with sticky sessions for booking flows.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. State is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About vietnamairlines.com scraping, legality, and pipeline operations.
Ask us directly →Yes. We can configure the pipeline to extract fares for adults, children, and infants, capturing the specific pricing logic applied to each demographic.
Our Playwright scripts are designed to navigate the booking engine rapidly. If a session expires or a CAPTCHA appears, the worker discards the session, rotates the proxy, and restarts the flow automatically.
Yes. The scraper identifies the operating carrier and marketing carrier, ensuring you know exactly which airline is flying the metal.
We can run high-frequency polling on targeted origin-destination pairs at sub-hourly intervals, depending on the volume of routes and proxy constraints.
We can extract currently published schedules up to the airline's maximum booking window (typically 330 days). Historical data is only available from the date your pipeline begins tracking.
Yes. We run a sample extraction of specific routes and dates to validate schema fit and data quality before commencing a full engagement.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily schedule dump or continuous price monitoring across thousands of routes, we scope, build, and operate the infrastructure. Tell us your requirements.
