We extract flight schedules, dynamic pricing across Econo and Premium cabins, route networks, and seat availability from WestJet. 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 westjet.com. All fields typed and schema-versioned.
"flight_number": "WS 102", "origin": "YVR", "destination": "YYC", "departure_time": "2024-11-12T08:00:00-08:00", "arrival_time": "2024-11-12T10:24:00-07:00", "duration_minutes": 84, "aircraft_type": "Boeing 737 MAX 8", "operated_by": "WestJet"
| # | flight_number | origin | destination | departure_time | arrival_time | duration_minutes |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Fares objects from westjet.com. All fields typed and schema-versioned.
"flight_number": "WS 102", "departure_date": "2024-11-12", "fare_class": "EconoFlex", "base_fare": 249.0, "taxes_and_fees": 68.42, "total_price": 317.42, "currency": "CAD", "seats_remaining": 4
| # | flight_number | departure_date | fare_class | base_fare | taxes_and_fees | total_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Route Network objects from westjet.com. All fields typed and schema-versioned.
"origin_code": "YYZ", "origin_city": "Toronto", "destination_code": "LGW", "destination_city": "London", "direct_flight": true, "frequency_weekly": 7, "seasonal_route": false, "distance_km": 5742
| # | origin_code | origin_city | destination_code | destination_city | direct_flight | frequency_weekly |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Cabin Classes objects from westjet.com. All fields typed and schema-versioned.
"flight_number": "WS 102", "cabin_type": "Premium", "pitch_inches": 33, "power_outlets": true, "wifi_available": true, "meal_service": "Complimentary snacks and beverages", "baggage_included": 2
| # | flight_number | cabin_type | pitch_inches | seat_width_inches | power_outlets | wifi_available |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Ancillary Fees objects from westjet.com. All fields typed and schema-versioned.
"route_type": "Domestic", "fare_class": "Basic", "first_bag_fee": 35.0, "second_bag_fee": 55.0, "seat_selection_min": 15.0, "seat_selection_max": 50.0, "currency": "CAD"
| # | route_type | fare_class | baggage_type | first_bag_fee | second_bag_fee | seat_selection_min |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our WestJet scraper handles the complexity of modern airline booking engines: dynamic calendar grids, multi-step search flows, session state management, and aggressive anti-bot mitigation.
Extract departure and arrival times, flight durations, aircraft types, and operating carriers for all direct and connecting flights.
Capture pricing across all fare tiers: Basic, Econo, EconoFlex, Premium, and Business, including base fares and tax breakdowns.
Extract 30-day price matrices to identify the lowest fares and seasonal pricing trends across specific routes.
Capture 'X seats left at this price' indicators to monitor inventory depletion and demand velocity.
Identify Delta Air Lines and other partner-operated flights sold through the WestJet platform.
Track baggage fees, seat selection costs, and other ancillary charges that vary by route and fare class.
Extract pricing in CAD, USD, GBP, and EUR depending on the point of sale and route configuration.
Bypass Akamai bot protection using residential proxies, TLS fingerprinting, and human-like request pacing.
Run pipelines at hourly cadences for high-priority routes to capture intra-day yield management adjustments.
Brief in. Clean data out.
Provide origin-destination pairs, travel dates, or full network requirements. We design the extraction schema together.
We configure Playwright crawlers, manage search sessions, and implement Akamai bypass strategies for westjet.com.
Schema validation, null-rate checks on pricing fields, and route coverage verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Airlines deploy sophisticated countermeasures to protect pricing data. Here is how we maintain reliable extraction.
WestJet uses advanced bot mitigation that analyses TLS fingerprints, JS execution environments, and request headers. Our infrastructure uses residential IPs and fully hydrated Playwright sessions to mimic legitimate passenger searches.
Flight search requires maintaining session state across multiple XHR requests. We handle cookie persistence and session tokens to ensure the pricing engine returns valid data for complex itineraries.
The booking engine is a single-page application heavily reliant on client-side rendering. We execute JavaScript and wait for specific network idle states before extracting DOM elements, ensuring no missing price nodes.
Searching too many dates for a single route triggers IP bans. We distribute calendar searches across thousands of residential proxies, adhering to human-possible request rates per session.
We normalise raw duration strings, timezone offsets, and currency formats into strict ISO standards, delivering machine-readable data ready for immediate analysis.
Rival airlines monitor WestJet's pricing adjustments across shared routes to optimise their own yield management strategies.
Online travel agencies integrate direct pricing feeds to verify GDS data and ensure price parity across platforms.
Revenue management teams analyse historical fare fluctuations and seat depletion rates to train pricing algorithms.
Aviation consultants track frequency changes and seasonal route deployments to assess market capacity and demand.
Enterprise travel managers monitor historical pricing on frequent corporate routes to negotiate better vendor contracts.
Operations teams track schedule changes, aircraft swaps, and structural delays to model network reliability.
"WestJet's route network and dynamic pricing engine hold critical market intelligence for North American aviation — but extracting it requires bypassing aggressive anti-bot layers."
Aviation data extraction is notoriously hostile. Scraping WestJet requires navigating Akamai bot protection, maintaining stateful search sessions, and handling complex calendar grids. DataFlirt manages the residential proxies and Playwright execution, delivering clean flight data so your engineers can focus on yield management and market analysis.
Everything supported by our westjet.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 manages route queuing and retry logic. Playwright handles the stateful SPA search flows, executing JavaScript to render final pricing structures.
We maintain pools of residential ISP proxies across North America. Rotation happens strategically to avoid triggering Akamai IP bans during calendar searches.
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 westjet.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available flight schedules and pricing data is generally permissible under applicable law. DataFlirt targets only public, non-authenticated data. We do not extract personal passenger data, circumvent authentication walls, or violate GDPR/PIPEDA. Clients should review WestJet's ToS and consult legal counsel for specific use cases.
We use North American residential ISP proxies, full Playwright browser sessions with realistic TLS fingerprints, and strict request pacing. Our infrastructure handles session cookies correctly to ensure the booking engine returns valid pricing rather than blocking the request.
Yes. We capture pricing for Basic, Econo, EconoFlex, Premium, and Business classes, including the breakdown of base fares versus taxes and fees.
Pipelines can be configured to run daily, hourly, or on custom intervals. For high-priority routes, we support near real-time extraction to capture intra-day yield management changes.
Yes. We identify and extract flights operated by partner airlines (like Delta Air Lines) that are sold through the WestJet platform, clearly indicating the operating carrier.
Our smallest packages start at a defined route list (typically 50-500 O&D pairs) with daily calendar extraction. For full network coverage, we price based on volume and delivery frequency. Contact us for a scoped quote.
Yes. We provide a sample run of up to 20 routes across a 30-day departure window as part of the pre-engagement scoping process, allowing you to validate schema fit and data accuracy.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily snapshot of key domestic routes or continuous price monitoring across the entire network — we scope, build, and operate the pipeline. Tell us what you need.
