We extract real-time schedules, fare class pricing, seat maps, and route intelligence from ceair.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 ceair.com. All fields typed and schema-versioned.
"flight_number": "MU583", "origin_iata": "PVG", "destination_iata": "LAX", "departure_time_local": "2026-08-14T20:05:00", "arrival_time_local": "2026-08-14T17:00:00", "duration_minutes": 715, "aircraft_type": "Boeing 777-300ER", "stops": 0, "operated_by": "China Eastern Airlines"
| # | flight_number | origin_iata | destination_iata | departure_time_local | arrival_time_local | duration_minutes |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Fares objects from ceair.com. All fields typed and schema-versioned.
"flight_number": "MU583", "departure_date": "2026-08-14", "currency": "CNY", "base_fare": 8450.0, "taxes_fees": 1240.0, "total_price": 9690.0, "fare_class_code": "Y", "cabin_class": "Economy", "refundable": false
| # | flight_number | departure_date | currency | base_fare | taxes_fees | total_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Seat Availability objects from ceair.com. All fields typed and schema-versioned.
"flight_number": "MU583", "departure_date": "2026-08-14", "cabin_class": "Business", "available_seats": 4, "pitch_inches": 75, "width_inches": 23.6, "power_outlets": true, "wifi_equipped": true
| # | flight_number | departure_date | cabin_class | available_seats | seat_map_url | pitch_inches |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Route Network objects from ceair.com. All fields typed and schema-versioned.
"origin_code": "PVG", "destination_code": "LHR", "frequency_weekly": 7, "direct_flight": true, "seasonal": false, "distance_km": 9235, "flight_numbers_list": "['MU551', 'MU552']", "alliance_partners": "['SkyTeam']"
| # | origin_code | destination_code | frequency_weekly | direct_flight | seasonal | distance_km |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Flight Status objects from ceair.com. All fields typed and schema-versioned.
"flight_number": "MU5101", "date": "2026-08-14", "scheduled_departure": "2026-08-14T08:30:00", "actual_departure": "2026-08-14T08:42:00", "status": "Departed", "terminal": "T1", "gate": "A12", "delay_minutes": 12
| # | flight_number | date | scheduled_departure | estimated_departure | actual_departure | status |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our ceair.com scraper navigates dynamic booking engines, multi-city search flows, and anti-bot mitigation to deliver precise flight and pricing data.
Extract origin, destination, departure, arrival, duration, aircraft type, and operating carrier for all MU flights globally.
Track base fares, taxes, surcharges, and total prices across multiple currencies and cabin classes.
Map detailed fare buckets (J, C, D, I, Y, B, M) to understand yield management and inventory allocation.
Monitor seasonal route additions, frequency changes, and codeshare agreements across the SkyTeam alliance.
Capture baggage allowances, extra piece pricing, and seat selection fees tied to specific fare rules.
Track scheduled vs. actual departure times, delays, gate changes, and terminal assignments.
Execute complex itinerary searches to extract bundled pricing and connection layover durations.
Simulate searches from different geographic IPs to capture regional price discrimination and local promotions.
Extract loyalty program mileage accrual rates and elite qualifying segments for specific routes and fare classes.
Brief in. Clean data out.
Provide origin-destination pairs, dates, or flight numbers. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for ceair.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 employ aggressive rate-limiting and dynamic session tokens. Here is how we maintain data flow without interruption.
Airline booking engines require sequential API calls with valid session tokens, CSRF tokens, and cookie jars. We automate the entire search funnel, maintaining state perfectly to reach the final pricing matrix.
ceair.com monitors for high-velocity IP requests. Our crawlers use residential ISP proxies with realistic browser fingerprints, randomised request timing, and full cookie session management.
Flight search results and seat maps are heavily JavaScript-rendered. We run full Playwright browser sessions to execute scripts and hydrate dynamic price widgets.
For continuous fare monitoring, we maintain a hash index of last-seen values. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Every run emits structured logs. We alert on null-rate spikes, fare outliers, schema drift, and coverage drops, responding before you notice.
Online travel agencies ingest direct pricing and availability to supplement GDS feeds and offer competitive booking options.
Rival airlines monitor MU pricing on competing routes to adjust their own yield management and fare buckets dynamically.
TMCs audit negotiated corporate fare availability against public rates to ensure contract compliance and savings.
Consultancies track route frequencies, aircraft deployment, and capacity changes to model airline market share and profitability.
Startups use real-time flight status and delay data to automate passenger rebooking and compensation claims.
Quantitative funds monitor forward-looking seat availability and pricing trends to model airline revenue performance ahead of earnings.
"Airlines adjust pricing dynamically based on yield management algorithms — capturing this data requires continuous polling without triggering bot mitigation."
Extracting data from ceair.com requires managing session states, handling complex multi-city search payloads, and bypassing airline-specific anti-bot heuristics. DataFlirt manages the proxy rotation and session hydration so your engineering team receives clean, normalised JSON.
Everything supported by our ceair.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 search permutations, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and booking engine interaction.
We maintain pools of residential ISP proxies. Rotation happens per-session to mimic human search behaviour and prevent airline rate limiting.
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 ceair.com scraping, legality, and pipeline operations.
Ask us directly →We can configure pipelines for daily, hourly, or sub-hourly cadences depending on the number of origin-destination pairs. High-frequency polling uses larger proxy pools to avoid detection.
Yes. We support extraction from both the international portals and the domestic Chinese portal, capturing nuanced pricing differences and domestic-only fare classes.
Yes. We can construct complex itinerary searches to capture bundled pricing, layover durations, and connection viability across the China Eastern network.
We use residential ISP proxies, full Playwright browser sessions, and request timing modelled on human behaviour. We maintain valid session cookies throughout the search funnel.
Yes. Every pipeline run produces timestamped snapshots. We maintain a time-series record for base fares, taxes, and total prices from the date your pipeline starts.
Our packages start at a defined set of routes (e.g., 500 origin-destination pairs) with daily delivery. For broader network coverage, we price based on volume and frequency.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily route network snapshot or continuous fare monitoring across 10,000 flights — we scope, build, and operate the pipeline. Tell us what you need.
