We extract flight schedules, dynamic pricing signals, fare class availability, and Velocity point redemptions from Virgin Australia. 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 virginaustralia.com. All fields typed and schema-versioned.
"flight_number": "VA841", "origin": "SYD", "destination": "MEL", "departure_time": "2026-08-14T08:00:00Z", "arrival_time": "2026-08-14T09:35:00Z", "aircraft_type": "Boeing 737-800", "duration_minutes": 95, "stops": 0
| # | flight_number | origin | destination | departure_time | arrival_time | aircraft_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Fare Pricing objects from virginaustralia.com. All fields typed and schema-versioned.
"flight_number": "VA841", "fare_class": "Economy Choice", "price": 189.0, "currency": "AUD", "baggage_included": "23kg", "cancellation_fee": 80.0, "change_fee": 0.0
| # | flight_number | fare_class | price | currency | tax_breakdown | baggage_included |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Velocity Points objects from virginaustralia.com. All fields typed and schema-versioned.
"flight_number": "VA841", "points_required": 7800, "taxes_surcharges": 45.32, "reward_seat_available": true, "status_credits": 15, "cabin_class": "Economy", "sector": "Domestic"
| # | flight_number | points_required | taxes_surcharges | reward_seat_available | tier_bonus | status_credits |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Seat Availability objects from virginaustralia.com. All fields typed and schema-versioned.
"flight_number": "VA841", "cabin": "Business", "total_seats": 8, "available_seats": 3, "occupied_seats": 5, "blocked_seats": 0, "equipment_code": "73H"
| # | flight_number | cabin | total_seats | available_seats | occupied_seats | blocked_seats |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Route Metadata objects from virginaustralia.com. All fields typed and schema-versioned.
"origin_code": "SYD", "dest_code": "MEL", "distance_km": 713, "operating_carrier": "Virgin Australia", "marketing_carrier": "Virgin Australia", "on_time_performance": 82.4, "days_of_operation": "['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun']"
| # | origin_code | dest_code | distance_km | operating_carrier | marketing_carrier | on_time_performance |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Our scraper handles airline booking flows, bypassing anti-bot systems to extract schedules, dynamic pricing, and Velocity reward availability across domestic and international routes.
Capture departure times, arrival times, aircraft types, and flight durations across the entire Virgin Australia network.
Monitor price fluctuations across Economy Lite, Economy Choice, Economy Flex, and Business class fares.
Extract reward seat availability, points required, and cash surcharges for frequent flyer redemptions.
Parse baggage allowances, seat selection costs, and cancellation policies tied to specific fare rules.
Distinguish between Virgin Australia operated flights and codeshares with partners like Qatar Airways or United.
Extract 30-day fare matrices to identify the cheapest travel dates across specific route pairs.
Run scheduled pipelines at hourly or daily cadences to capture intra-day yield management adjustments.
Bypass Akamai and airline-specific rate limits using residential proxy pools and TLS fingerprinting.
Construct complex itineraries and extract layover durations, terminal changes, and combined fare totals.
Brief in. Clean data out.
Provide origin-destination pairs, date ranges, and target cabin classes. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for virginaustralia.com.
Schema validation, null-rate checks, price-outlier detection, and sample routes 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 to protect their yield management systems. Here's how we stay resilient.
Virgin Australia uses Akamai to detect non-human traffic. Our crawlers use Australian residential ISP proxies with realistic browser fingerprints, randomised request timing, and full cookie session management.
Airline pricing requires maintaining state across multiple steps (search, flight selection, fare family selection). We handle session tokens and cookies to ensure pricing renders correctly without session expiry errors.
Rather than parsing unstable DOM elements, we intercept the underlying GraphQL and REST API calls made by the Virgin Australia frontend, ensuring schema stability and faster extraction.
Airlines throttle IPs that query too many routes. We distribute requests across thousands of nodes, ensuring we stay below threshold limits while maintaining high extraction throughput.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, price outliers, schema drift, and coverage drops — and respond before you notice.
Online travel agencies integrate direct pricing and schedule data to populate search results and verify availability.
Rival airlines and transport operators monitor Virgin Australia's yield management strategies and fare class adjustments.
Travel management companies audit negotiated corporate rates against public fares to ensure contract compliance.
Points aggregators track Velocity reward seat availability to alert users when premium cabin redemptions open up.
Analysts correlate pricing changes with external events to optimise their own dynamic pricing models.
Insurance and logistics firms monitor schedule changes, cancellations, and on-time performance metrics.
"Airline pricing is the original dynamic market. Virgin Australia shifts fares and reward seat availability constantly — we capture every fluctuation before it disappears."
Extracting flight data requires bypassing aggressive bot mitigation and managing complex session states. DataFlirt handles the Akamai headers, proxy rotation, and payload interception so you receive clean JSON without fighting airline infrastructure.
Everything supported by our virginaustralia.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, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across AU regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda (burst) and ECS (sustained). 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 virginaustralia.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available flight schedules and pricing data is generally permissible. DataFlirt targets only public, non-authenticated route and fare data. We do not extract personal data or circumvent authentication walls. Clients should review airline ToS and consult legal counsel for specific use cases.
We use Australian residential ISP proxies, full Playwright browser sessions with realistic TLS fingerprints, and request timing modelled on human behaviour. We manage session cookies carefully to prevent booking flow errors.
Yes. We extract the points required, cash taxes, and reward seat availability across different cabin classes for Velocity frequent flyer redemptions.
Pipelines can be configured for daily, hourly, or sub-hourly sweeps depending on the number of route-date combinations required. High-frequency sweeps focus on narrow date windows to manage extraction volume.
Yes. We intercept the pricing breakdown to separate base fares from airport taxes, carrier charges, and booking fees.
Yes. We capture both the operating carrier and marketing carrier, allowing you to filter out partner flights (e.g., Qatar Airways, United) if you only require Virgin Australia operated metal.
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 5,000 sectors — we scope, build, and operate the pipeline. Tell us what you need.
