We extract flight schedules, dynamic pricing, fare classes, and availability from Royal Air Maroc. 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 royalairmaroc.com. All fields typed and schema-versioned.
"flight_number": "AT 200", "origin": "CMN", "destination": "JFK", "departure_time": "2026-08-14T15:30:00Z", "arrival_time": "2026-08-14T18:15:00Z", "duration": "465", "aircraft_type": "Boeing 787-9 Dreamliner"
| # | flight_number | origin | destination | departure_time | arrival_time | duration |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing & Fares objects from royalairmaroc.com. All fields typed and schema-versioned.
"flight_number": "AT 200", "departure_date": "2026-08-14", "currency": "MAD", "eco_essential_price": 5400.0, "business_price": 18500.0, "total_price": 5400.0
| # | flight_number | departure_date | currency | eco_essential_price | eco_classic_price | eco_flex_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Route Availability objects from royalairmaroc.com. All fields typed and schema-versioned.
"origin": "CMN", "destination": "ORY", "date": "2026-09-01", "available_flights": 8, "lowest_price": 1200.0, "direct_flights_count": 6
| # | origin | destination | date | available_flights | lowest_price | direct_flights_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Baggage & Extras objects from royalairmaroc.com. All fields typed and schema-versioned.
"flight_number": "AT 200", "fare_class": "Eco Essential", "cabin_bag_allowance": "1x 10kg", "checked_bag_allowance": "0kg", "extra_bag_price": 600.0, "meal_included": true
| # | flight_number | fare_class | cabin_bag_allowance | checked_bag_allowance | extra_bag_price | seat_selection_fee |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Safar Flyer objects from royalairmaroc.com. All fields typed and schema-versioned.
"flight_number": "AT 200", "origin": "CMN", "destination": "JFK", "miles_required_eco": 35000, "miles_required_business": 75000, "upgrade_eligibility": true
| # | flight_number | origin | destination | miles_required_eco | miles_required_business | upgrade_eligibility |
|---|---|---|---|---|---|---|
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Our scraper handles the Royal Air Maroc booking engine: dynamic pricing, route combinations, fare families, and tax breakdowns, with JavaScript rendering and session management built in.
Origin, destination, departure, arrival, duration, and aircraft type for all direct and connecting flights.
Track base fares, taxes, and total prices across Eco Essential, Classic, Flex, and Business classes.
Extract flexible date grids to identify lowest fare trends and availability shifts across a 7 day window.
Capture cabin and checked baggage allowances, penalty fees, and seat selection costs per fare tier.
Map complex itineraries including transit airports, layover durations, and equipment changes.
Monitor reward flight availability and miles required for redemption across different cabin classes.
Extract pricing in MAD, EUR, USD, GBP, and other supported currencies based on point of sale.
Track volatile pricing on high-demand routes like CMN-ORY or RAK-JFK with hourly polling.
Bypass Akamai and custom rate limits using residential proxies and human-like interaction patterns.
Brief in. Clean data out.
Provide origin-destination pairs, date ranges, and cabin classes. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for royalairmaroc.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 pricing engines. Here is how we stay resilient.
Airline booking engines block datacenter IPs. We use residential ISP proxies from African and European pools with realistic browser fingerprints.
Flight search results load via heavy SPA frameworks. We run full Playwright browser sessions to execute JavaScript and hydrate pricing tables.
Royal Air Maroc requires sequential API calls and valid session cookies to retrieve pricing. Our crawlers maintain state across the booking funnel.
Airline DOMs change during promotions. We use multiple fallback chains per field to ensure layout changes do not break your data pipeline.
Every run emits structured logs. We alert on null-rate spikes, price outliers, and coverage drops. SLA uptime is contractual.
Online travel agencies ingest schedules and pricing to feed their own search engines and cache layers.
Competing airlines monitor RAM pricing on key North African and European routes to adjust their own revenue management models.
Aviation analysts track flight frequency, aircraft deployment, and fare fluctuations to model route yield.
Large enterprises track historical pricing on frequently flown routes to negotiate better corporate rates.
Travel insurance providers monitor schedule changes and cancellations to model risk and trigger payouts.
Points aggregators monitor Safar Flyer redemption inventory to alert users when business class seats open up.
"Airline pricing is the ultimate dynamic dataset. Royal Air Maroc adjusts fares constantly based on load factors, making stale data entirely useless."
Most teams underestimate the investment required: reliable airline scraping requires residential proxies, full JavaScript rendering for booking engines, session state management, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis.
Everything supported by our royalairmaroc.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. Playwright handles JavaScript rendering and flight search interactions.
We maintain pools of residential ISP proxies. Rotation happens per-request with sticky sessions for the booking flow.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management.
Data delivered to where your team already works — no new tooling required.
About royalairmaroc.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available flight schedules and pricing is generally permissible. We target only public, non-authenticated data. We do not extract personal passenger data or circumvent authentication walls.
We use residential ISP proxies, full Playwright browser sessions, and human-like interaction patterns to navigate the booking engine without triggering Akamai blocks.
Yes. We can configure the crawler point of sale to extract pricing in MAD, EUR, USD, or any other supported currency.
Yes. We extract the base fare along with the itemised list of taxes, airport fees, and carrier-imposed surcharges.
Real-time streaming pipelines achieve sub-15-minute latency for specific route monitoring. Full matrix refreshes complete within agreed SLAs.
Yes. We can monitor specific routes for reward seat availability and the miles required for redemption.
Our smallest packages start at a defined route list (typically 100-500 origin and destination pairs) with daily delivery.
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 itineraries, we scope, build, and operate the pipeline. Tell us what you need.
