We extract flight schedules, dynamic pricing, route networks, and ancillary fees from Ryanair. 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 ryanair.com. All fields typed and schema-versioned.
"flight_number": "FR8392", "origin_iata": "STN", "destination_iata": "DUB", "departure_time_local": "2026-06-15T08:30:00", "arrival_time_local": "2026-06-15T09:50:00", "duration_minutes": 80, "status": "scheduled"
| # | flight_number | origin_iata | destination_iata | departure_time_local | departure_time_utc | arrival_time_local |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Fares & Pricing objects from ryanair.com. All fields typed and schema-versioned.
"flight_number": "FR8392", "departure_date": "2026-06-15", "fare_class": "Value", "base_fare": 19.99, "total_price": 24.99, "currency": "GBP", "seats_remaining": 4, "price_timestamp": "2026-05-12T10:15:00Z"
| # | flight_number | departure_date | fare_class | base_fare | taxes | total_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Ancillary Fees objects from ryanair.com. All fields typed and schema-versioned.
"flight_number": "FR8392", "cabin_bag_10kg_price": 15.5, "checked_bag_20kg_price": 25.0, "priority_boarding_price": 12.0, "standard_seat_price": 6.0, "extra_legroom_seat_price": 18.0, "currency": "GBP"
| # | flight_number | departure_date | cabin_bag_10kg_price | checked_bag_20kg_price | priority_boarding_price | standard_seat_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Route Network objects from ryanair.com. All fields typed and schema-versioned.
"origin_iata": "STN", "destination_iata": "DUB", "country_origin": "UK", "country_destination": "Ireland", "frequency_per_week": 42, "seasonal_route": false, "active_status": true
| # | origin_airport | origin_iata | destination_airport | destination_iata | country_origin | country_destination |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Aircraft & Operations objects from ryanair.com. All fields typed and schema-versioned.
"flight_number": "FR8392", "aircraft_model": "Boeing 737-800", "capacity": 189, "operator_airline": "Ryanair UK", "cancellation_status": false, "terminal_departure": "3", "operational_date": "2026-06-15"
| # | flight_number | aircraft_registration | aircraft_model | capacity | operator_airline | delay_minutes |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Ryanair scraper handles the complexities of low-cost carrier booking flows: session tokens, dynamic pricing, complex ancillary fee structures, and aggressive anti-bot protection.
Capture base fares, taxes, and total prices across Value, Regular, Plus, and Flexi Plus tiers. Timestamped per extraction.
Extract dynamic pricing for cabin bags, checked luggage, seat selection, and priority boarding tailored to specific routes and dates.
Extract fares in local departure currencies or normalise to a standard base currency using real-time exchange rates.
Map all active routes, seasonal additions, and frequency changes across the entire Ryanair network.
Monitor departure times, arrival times, and flight durations. Detect schedule adjustments and cancellations.
Track 'seats remaining at this price' warnings to model demand and pricing velocity on specific flights.
Bypass perimeter protection and CAPTCHAs using rotating residential proxies and human-mimicking browser behaviour.
Extract fares from different geographic IP locations to detect regional price discrimination.
Run bulk route scans or configure continuous pipelines for real-time fare updates.
Brief in. Clean data out.
Provide origin-destination pairs, date ranges, or entire country networks. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, session management, and anti-bot handling for ryanair.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.
Airlines invest heavily in scraping detection to protect their pricing data. Here is how we maintain reliable extraction.
Airlines use advanced bot mitigation. Our crawlers use residential ISP proxies with realistic browser fingerprints, randomised request timing, and full TLS spoofing to bypass these checks.
Ryanair's booking flow relies on short-lived session tokens and complex API handshakes. We manage token generation, refresh cycles, and cookie persistence to maintain stable extraction sessions.
The modern Ryanair site is a Single Page Application. We intercept internal API calls for raw JSON data where possible, falling back to full Playwright rendering for complex DOM extraction.
Baggage and seat fees vary dynamically based on route, date, and load factor. We navigate the booking flow to extract these specific ancillary costs, mapping them to standard schemas.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, currency anomalies, and coverage drops. SLA uptime is contractual.
Online travel agencies integrate direct low-cost carrier pricing to offer comprehensive flight options to users.
Rival airlines monitor Ryanair's base fares and ancillary fees on competing routes to adjust their own pricing strategies.
Aviation analysts track schedule frequency and estimated load factors to model route profitability and network expansion.
Revenue management teams analyse historical fare curves to understand low-cost carrier pricing algorithms.
Airlines track the cost of priority boarding, bags, and seats to optimise their own unbundled fare structures.
Insurers and logistics companies monitor schedule changes and cancellations to model disruption risk.
"Ryanair operates the most extensive point-to-point network in Europe, generating millions of dynamic price updates daily. Accessing this data requires specialised infrastructure."
Extracting low-cost carrier data at scale requires bypassing aggressive anti-bot protection, managing short-lived session tokens, and normalising complex ancillary fee structures. DataFlirt handles the extraction infrastructure so your analysts can focus on pricing intelligence.
Everything supported by our ryanair.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 EU 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 ryanair.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available flight schedules and pricing data is generally permissible for non-disruptive, commercial intelligence purposes. We target only public, non-authenticated data. Clients should review airline ToS and consult legal counsel for specific use cases.
We use residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. We manage session tokens strictly to avoid triggering rate limits.
Yes. We navigate the booking flow to extract dynamic ancillary fees including cabin bags, checked bags, standard seats, and extra legroom seats.
Pipelines can be configured for daily scans or high-frequency intra-day updates depending on the route volume and SLA requirements.
Yes. We can extract fares in the departure airport's local currency or normalise them to a target currency using daily exchange rates.
Our packages start at a defined route list (typically 50-500 routes) with daily delivery. For larger networks, we price based on volume and frequency.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need daily route scans or continuous price-monitoring across the entire network — we scope, build, and operate the pipeline. Tell us what you need.
