We extract live flight schedules, dynamic pricing across fare families, seat availability, and AlFursan reward inventory from Saudia. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake.
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 saudia.com. All fields typed and schema-versioned.
"flight_number": "SV21", "origin": "RUH", "destination": "JFK", "departure_time": "2026-08-14T05:35:00Z", "arrival_time": "2026-08-14T11:45:00Z", "aircraft_type": "Boeing 777-300ER", "duration_minutes": 790, "stops": 0, "operating_carrier": "Saudia"
| # | flight_number | origin | destination | departure_time | arrival_time | aircraft_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Live Pricing objects from saudia.com. All fields typed and schema-versioned.
"flight_number": "SV21", "cabin_class": "Economy", "fare_family": "Guest Flex", "base_fare": 3450.0, "taxes": 420.5, "total_fare": 3870.5, "currency": "SAR", "seats_remaining": 4, "scrape_timestamp": "2026-05-12T10:15:22Z"
| # | flight_number | cabin_class | fare_family | base_fare | taxes | total_fare |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for AlFursan Rewards objects from saudia.com. All fields typed and schema-versioned.
"flight_number": "SV21", "origin": "RUH", "destination": "JFK", "reward_type": "Standard", "miles_required": 45000, "taxes_fees": 380.0, "currency": "SAR", "cabin_class": "Economy", "availability_status": "Available"
| # | flight_number | origin | destination | reward_type | miles_required | taxes_fees |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Seat Maps objects from saudia.com. All fields typed and schema-versioned.
"flight_number": "SV21", "departure_date": "2026-08-14", "cabin_class": "Business", "total_seats": 36, "available_seats": 12, "occupied_seats": 20, "blocked_seats": 4, "extra_legroom_available": true
| # | flight_number | departure_date | cabin_class | total_seats | available_seats | occupied_seats |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Fare Rules objects from saudia.com. All fields typed and schema-versioned.
"fare_family": "Guest Flex", "cabin_class": "Economy", "checked_baggage_kg": 46, "cabin_baggage_kg": 7, "change_fee": 0.0, "cancellation_fee": 150.0, "miles_earning_pct": 100, "lounge_access": false
| # | fare_family | cabin_class | checked_baggage_kg | cabin_baggage_kg | change_fee | cancellation_fee |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Saudia scraper parses complex booking flows, handles multi-city routing logic, and extracts dynamic pricing across all fare families with session persistence and anti-bot circumvention built in.
Extract origin, destination, layovers, durations, and aircraft types across the entire Saudia network.
Capture base fares, taxes, and total prices across Guest, Business, and First class cabins.
Extract specific entitlements for Basic, Classic, Flex, and Premium fare tiers including change fees.
Track reward flight availability and mileage requirements across different cabin classes.
Parse seat maps to determine exact load factors and blocked versus occupied seat counts.
Extract checked and cabin baggage limits specific to route and fare family selections.
Identify flights operated by SkyTeam partners versus Saudia mainline aircraft.
Extract pricing in SAR, USD, EUR, or any supported currency via localized session headers.
Run continuous pricing checks on high-value routes to detect yield management adjustments.
Brief in. Clean data out.
Provide O&D pairs, date ranges, and cabin classes. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for saudia.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 deploy aggressive session tracking and anti-scraping measures. Here is how we maintain stable extraction.
Booking engines use advanced WAFs. Our crawlers use residential ISP proxies with realistic browser fingerprints and randomised request timing.
Booking flows require sequential cookie progression. We maintain isolated browser contexts per search to prevent session contamination.
Airline pricing grids use heavy client-side rendering. We run full Playwright browser sessions to ensure dynamic price matrices load completely.
Airline pricing grids use highly nested, dynamic tables. Our selectors use robust fallback chains to extract data reliably.
We monitor for route availability drops or fare structure changes and alert you before downstream systems are affected.
OTAs and competing airlines track Saudia pricing to adjust their own yield management algorithms.
Meta-search engines ingest schedule and pricing data to populate regional flight search results.
Points aggregators track AlFursan reward availability to alert users on standard versus flex reward drops.
Enterprise travel managers monitor historical pricing on key routes to negotiate corporate rates.
Aviation analysts estimate load factors using seat map extraction to model route performance.
Travel risk platforms monitor schedule changes and cancellations across the Saudia network.
"Airline pricing is the ultimate dynamic dataset. Tracking Saudia yield management requires persistent sessions and sophisticated bot mitigation."
Most teams underestimate the investment required to scrape airline booking engines. Reliable Saudia extraction requires residential proxies, strict session sequencing, and continuous selector maintenance to handle booking flow updates. DataFlirt absorbs that complexity so your engineers can focus on the analysis.
Everything supported by our saudia.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 Middle East and global regions. Rotation happens per-request with sticky sessions where required.
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 saudia.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available flight schedules and pricing is generally permissible. DataFlirt targets only public, non-authenticated schedule and pricing data. We do not extract personal passenger data or violate GDPR.
We use residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. Our selectors have multi-layer fallback chains to handle dynamic DOM changes.
Yes, we can query reward flight availability and extract the required miles and taxes across different cabin classes.
Real-time streaming pipelines achieve sub-15-minute latency for specific O&D pairs. Full schedule refreshes complete within agreed SLA windows.
Yes, we extract seat map data to provide aggregate counts of available, blocked, and occupied seats per cabin class.
Our smallest packages start at a defined list of O&D pairs with daily delivery. For larger matrices or custom schema requirements, we price based on volume and frequency.
Absolutely. We provide a sample run of up to 50 routes as part of the pre-engagement scoping process so you can validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off schedule dump or a continuous price-monitoring feed across 10,000 routes — we scope, build, and operate the pipeline. Tell us what you need.
