We extract flight schedules, dynamic pricing across fare buckets, seat availability, and ancillary fees from Bamboo 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 bambooairways.com. All fields typed and schema-versioned.
"flight_number": "QH242", "origin_code": "SGN", "destination_code": "HAN", "departure_time_local": "2026-10-15T08:00:00", "arrival_time_local": "2026-10-15T10:10:00", "duration_minutes": 130, "aircraft_type": "Airbus A321neo", "stops": 0
| # | flight_number | origin_code | destination_code | departure_time_local | arrival_time_local | duration_minutes |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Pricing & Fares objects from bambooairways.com. All fields typed and schema-versioned.
"flight_number": "QH242", "departure_date": "2026-10-15", "fare_class": "Bamboo Eco", "base_fare": 1250000.0, "taxes_and_fees": 450000.0, "total_price": 1700000.0, "currency": "VND", "seats_remaining": 4, "cabin_class": "Economy"
| # | flight_number | departure_date | fare_class | fare_basis_code | base_fare | taxes_and_fees |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Route Network objects from bambooairways.com. All fields typed and schema-versioned.
"origin_code": "HAN", "destination_code": "FRA", "origin_city": "Hanoi", "destination_city": "Frankfurt", "distance_km": 8750, "flight_frequency_weekly": 3, "operating_days": "['Tue', 'Thu', 'Sat']"
| # | origin_code | destination_code | origin_city | destination_city | distance_km | flight_frequency_weekly |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Ancillary Services objects from bambooairways.com. All fields typed and schema-versioned.
"flight_number": "QH242", "fare_class": "Bamboo Eco", "extra_baggage_tier": "20kg", "extra_baggage_fee": 300000.0, "seat_selection_tier": "Extra Legroom", "seat_selection_fee": 150000.0, "currency": "VND"
| # | flight_number | fare_class | extra_baggage_tier | extra_baggage_fee | seat_selection_tier | seat_selection_fee |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Flight Status objects from bambooairways.com. All fields typed and schema-versioned.
"flight_number": "QH242", "flight_date": "2026-10-15", "scheduled_departure": "08:00", "actual_departure": "08:15", "status": "Departed", "departure_terminal": "T1", "departure_gate": "14"
| # | flight_number | flight_date | scheduled_departure | estimated_departure | actual_departure | status |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our pipeline handles the complexities of airline booking engines: session state management, dynamic fare bucket pricing, multi-currency conversions, and anti-bot circumvention.
Extract flight numbers, aircraft types, departure times, and duration across the entire Bamboo Airways domestic and international network.
Capture real-time pricing for Bamboo Eco, Bamboo Plus, and Bamboo Business tiers, including tax breakdowns and base fares.
Monitor remaining seat counts per fare bucket to identify load factors and booking velocity on specific routes.
Track costs for extra baggage, seat selection, and lounge access to understand total passenger revenue potential.
Extract prices in VND, USD, EUR, and other supported currencies, mapped to standard ISO codes for easy warehouse integration.
Monitor delays, gate changes, and actual departure times for operational intelligence and disruption tracking.
Bypass Akamai and Cloudflare protections using residential IPs, TLS fingerprinting, and automated CAPTCHA solvers.
Configure high-frequency polling on critical routes to capture intraday price fluctuations and fare class closures.
We maintain selectors for the Bamboo Airways booking engine, ensuring structural changes do not break your downstream analytics.
Brief in. Clean data out.
Provide origin-destination pairs, date ranges, and required data points. We design the extraction schema together.
We configure Scrapy crawlers, Playwright sessions, proxy rotation, and session management for the booking engine.
Schema validation, price-outlier detection, and null-rate checks ensure data accuracy before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Airline websites use complex session states and aggressive bot protection. Here is how we maintain reliable extraction.
Flight searches require maintaining complex session cookies and tokens across multiple steps. Our Playwright orchestrator handles the entire state flow from origin selection to fare display without dropping the session.
The Bamboo Airways booking engine relies heavily on client-side rendering. We execute the necessary JavaScript to hydrate the fare matrix, capturing dynamic pricing that static parsers miss.
Airlines aggressively throttle high-volume search traffic. We distribute requests across a pool of residential proxies, mimicking natural user search patterns to avoid IP bans and CAPTCHA loops.
Fare rules and tax breakdowns vary by route and currency. We normalise these nested structures into flat, queryable formats ready for immediate analysis in your warehouse.
Booking engines occasionally return errors or zero-fares during maintenance. Our pipeline detects these anomalies, pausing extraction and retrying to ensure your dataset remains clean.
Other airlines and travel agencies track Bamboo Airways fare changes on overlapping routes to adjust their own pricing strategies.
Online Travel Agencies integrate direct schedule and pricing feeds to supplement GDS data and display complete inventory.
Aviation analysts monitor seat availability and fare bucket closures to model load factors and revenue performance.
Consultancies track frequency changes and new destination launches to evaluate market expansion strategies.
Travel insurance providers monitor flight delays and cancellations to automate claim processing and risk modelling.
Tourism boards analyse flight capacity and pricing trends to forecast visitor arrivals and economic impact.
"Airline pricing is the ultimate dynamic dataset. Capturing it reliably requires infrastructure that respects session state and mimics human search behaviour perfectly."
Extracting fare data at scale is fundamentally different from scraping static catalogues. It requires navigating complex booking flows, managing stateful sessions, and parsing heavily nested JSON responses from hidden APIs. DataFlirt manages this complexity, delivering clean, structured aviation data directly to your warehouse.
Everything supported by our bambooairways.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 manages the complex session state required to navigate airline booking engines.
We maintain pools of residential proxies, rotating IPs to match expected geographic search patterns and avoid bot mitigation blocks.
Pipelines run on AWS infrastructure. Airflow handles scheduling for high-frequency polling, ensuring data freshness and SLA compliance.
Data delivered to where your team already works — no new tooling required.
About bambooairways.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 information from Bamboo Airways. We do not bypass login screens or access private passenger PNR data.
We use a combination of residential proxies, TLS fingerprinting, and realistic session management. By mimicking human search behaviour and adhering to rate limits, we avoid triggering aggressive bot mitigation responses.
We extract pricing and availability for all publicly displayed fare buckets, including Bamboo Eco, Bamboo Plus, and Bamboo Business, along with associated taxes and fees.
Data freshness depends on your polling configuration. We can configure pipelines to poll specific high-priority routes multiple times per day to capture intraday pricing changes.
Yes. Every extraction run is timestamped, allowing you to build a time-series database of fare changes from the moment your pipeline is activated.
Engagements typically start with a defined list of origin-destination pairs. Pricing scales based on the number of routes, search frequency, and required data depth. Contact us for a precise quote.
Yes, we can configure the extraction to capture pricing in specific currencies supported by the Bamboo Airways booking engine, or extract the base currency and provide exchange rate metadata.
Yes. We offer sample extractions for a limited number of routes during the scoping phase, allowing you to verify the schema and data quality before committing.
20-minute scoping call. Pilot dataset within the week. Production within two. From monitoring specific domestic routes to tracking international fare fluctuations, we build and manage the extraction infrastructure. Tell us your requirements.
