We extract flight schedules, dynamic pricing, PorterClassic vs PorterReserve fare tiers, and seat availability from flyporter.com. 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 flyporter.com. All fields typed and schema-versioned.
"flight_number": "PD405", "origin_airport": "YTZ", "destination_airport": "EWR", "departure_time_local": "2026-08-14T08:30:00", "arrival_time_local": "2026-08-14T10:05:00", "duration_minutes": 95, "aircraft_type": "De Havilland Dash 8-400", "stops": 0
| # | flight_number | origin_airport | destination_airport | departure_time_local | arrival_time_local | duration_minutes |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Fares objects from flyporter.com. All fields typed and schema-versioned.
"flight_number": "PD405", "departure_date": "2026-08-14", "currency": "CAD", "porter_classic_price": 214.5, "porter_reserve_price": 389.0, "total_taxes": 64.3, "lowest_available_price": 214.5, "scraped_at": "2026-06-01T14:22:10Z"
| # | flight_number | departure_date | currency | base_fare | total_taxes | porter_classic_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Route Network objects from flyporter.com. All fields typed and schema-versioned.
"origin_code": "YYZ", "destination_code": "YVR", "direct_flight_available": true, "frequency_per_week": 21, "first_departure_time": "07:00", "last_departure_time": "20:30", "seasonal_route": false, "aircraft_deployed": "Embraer E195-E2"
| # | origin_code | destination_code | direct_flight_available | frequency_per_week | first_departure_time | last_departure_time |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Seat Maps objects from flyporter.com. All fields typed and schema-versioned.
"flight_number": "PD405", "departure_date": "2026-08-14", "total_capacity": 78, "available_seats": 34, "blocked_seats": 44, "premium_seats_available": 6, "standard_seats_available": 28, "seat_map_version": "v1.2"
| # | flight_number | departure_date | total_capacity | available_seats | blocked_seats | premium_seats_available |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Flight Status objects from flyporter.com. All fields typed and schema-versioned.
"flight_number": "PD405", "departure_date": "2026-08-14", "scheduled_departure": "08:30:00", "estimated_departure": "08:45:00", "status": "Delayed", "terminal": "Main", "gate": "4", "baggage_carousel": "B"
| # | flight_number | departure_date | scheduled_departure | estimated_departure | actual_departure | status |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Flyporter scraper handles multi-step search flows, dynamic pricing grids, and strict session timeouts. We deliver clean airline data via managed pipelines.
Extract origin, destination, departure times, and aircraft type for all Porter routes across the network.
Track dynamic pricing across PorterClassic and PorterReserve tiers including bundled benefits.
Monitor available versus occupied seats to estimate load factors and booking velocity per flight.
Extract base fare, airport taxes, fuel surcharges, and ancillary fees separately for precise margin analysis.
Track real-time delays, gate changes, and cancellation events across the active schedule.
Capture pricing in CAD, USD, and other supported currencies based on configured point of sale.
Extract costs for checked bags, seat selection, and pet fees per route and fare class.
Identify Dash 8-400 versus Embraer E195-E2 deployments by route and schedule.
Detect new city pairs and seasonal route additions automatically as the airline expands.
Bypass perimeter defences using residential proxies and full session handling.
Brief in. Clean data out.
Provide origin-destination pairs, date ranges, or flight numbers. We design the extraction schema together.
We configure Playwright crawlers, proxy rotation, and session management for flyporter.com.
Schema validation, null-rate checks, and price-outlier detection before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Airline booking engines are designed to block automated queries. Here is how we maintain stable extraction.
Flight searches require maintaining state across multiple HTTP requests. We manage cookies, headers, and tokens to simulate genuine user booking flows.
Airlines aggressively rate-limit datacenter IPs. We route requests through Canadian and US residential proxies to blend in with legitimate consumer traffic.
Pricing grids are rendered client-side. We use headless Playwright instances to execute JavaScript and capture the fully populated DOM.
We use fallback chains for CSS and XPath selectors to ensure data flows continuously even if the booking engine layout changes.
We flag zero-dollar fares or missing tax breakdowns automatically, triggering a retry before the data reaches your warehouse.
Airlines and OTAs track Porter Airlines pricing to adjust their own revenue management algorithms.
Analysts monitor seat map availability over time to estimate flight occupancy and route profitability.
Travel agencies sync schedules and pricing for routes where direct API access is unavailable or cost-prohibitive.
Aviation consultants analyse frequency changes and aircraft deployment to understand network strategy.
Metasearch engines populate their results with accurate, timestamped pricing data directly from the carrier.
Data science teams train pricing models using historical fare fluctuations ahead of departure dates.
"Porter Airlines operates a rapidly expanding network with highly dynamic fare classes. Capturing this pricing at scale requires bypassing complex session logic and strict bot mitigation."
Airline booking engines are notoriously difficult to scrape. They rely on multi-step search flows, strict session timeouts, and aggressive perimeter defences. DataFlirt handles the proxy rotation, session state, and payload construction so you receive clean pricing and schedule data without managing the underlying infrastructure.
Everything supported by our flyporter.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 multi-step booking flows.
We maintain pools of residential ISP proxies across North America. Rotation happens per-session to maintain state during search queries.
Pipelines run on AWS Lambda and ECS. 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 flyporter.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing and schedule information is generally permissible. DataFlirt targets only public, non-authenticated data. We do not extract personal data or circumvent authentication walls. Clients should review terms of service and consult legal counsel for their specific use case.
Flight searches require active sessions. We orchestrate Playwright instances that maintain cookies and tokens throughout the search flow, ensuring the session remains valid until pricing data is fully extracted.
Yes. We extract the full pricing grid, capturing the base fare for PorterClassic as well as the premium PorterReserve tier for every available flight.
Yes. We can extract the seat map for specific flights, providing counts of available, blocked, and occupied seats to help estimate load factors.
Pipelines can be configured to run daily, hourly, or on-demand via API depending on your requirements and target route volume.
Our smallest packages start at a defined list of origin-destination pairs with daily delivery. Contact us with your route list for a scoped quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need daily schedule updates or continuous price-monitoring across the network, we scope, build, and operate the pipeline. Tell us what you need.
