We extract schedules, dynamic fares, cabin class availability, and route metadata from China Southern Airlines. 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 csair.com. All fields typed and schema-versioned.
"flight_number": "CZ327", "origin": "CAN", "destination": "LAX", "departure_time": "2026-05-12T21:30:00Z", "arrival_time": "2026-05-12T19:40:00Z", "aircraft_type": "Boeing 777-300ER", "duration_minutes": 790, "stops": 0, "operated_by": "China Southern Airlines"
| # | flight_number | origin | destination | departure_time | arrival_time | aircraft_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Fares objects from csair.com. All fields typed and schema-versioned.
"flight_number": "CZ327", "cabin_class": "Economy", "base_price": 4500.0, "tax_amount": 1250.0, "total_price": 5750.0, "currency": "CNY", "refundable": false, "change_fee": 800.0, "scraped_at": "2026-05-12T09:14:00Z"
| # | flight_number | fare_basis | cabin_class | base_price | tax_amount | total_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Route Network objects from csair.com. All fields typed and schema-versioned.
"origin_airport": "CAN", "destination_airport": "LHR", "distance_km": 9480, "frequency_weekly": 7, "days_of_week": "['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun']", "direct_flight": true, "codeshare_partners": "['BA']"
| # | origin_airport | destination_airport | distance_km | frequency_weekly | days_of_week | season_start |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Seat Availability objects from csair.com. All fields typed and schema-versioned.
"flight_number": "CZ327", "departure_date": "2026-05-12", "cabin_class": "Business", "seats_remaining": 4, "waitlist_status": "Closed", "overbooked_flag": false, "upgrade_eligible": true, "seat_map_available": true
| # | flight_number | departure_date | cabin_class | seats_remaining | waitlist_status | overbooked_flag |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Baggage & Ancillaries objects from csair.com. All fields typed and schema-versioned.
"flight_number": "CZ327", "cabin_class": "Economy", "checked_bag_allowance_kg": 23, "carry_on_allowance_kg": 8, "extra_bag_fee": 1200.0, "seat_selection_fee": 150.0, "meal_included": true, "lounge_access": false, "currency": "CNY"
| # | flight_number | cabin_class | checked_bag_allowance_kg | carry_on_allowance_kg | extra_bag_fee | seat_selection_fee |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our csair.com scraper handles every layer of the booking platform: schedule listings, dynamic pricing grids, seat availability, and route intelligence, with session management and anti-bot circumvention built in.
Timetables, aircraft types, stops, durations, and operating carriers for all domestic and international China Southern routes.
Capture base fares, taxes, surcharges, and total prices across Economy, Premium Economy, Business, and First class.
Monitor mileage accrual rates, member-exclusive fares, and upgrade eligibility markers across the flight network.
Extract remaining seat counts and waitlist statuses to gauge flight load factors and demand curves.
Map marketed versus operated flights to understand true capacity and alliance networks.
Scrape complex itineraries, layover durations, and minimum connection times at key hubs like CAN and PKX.
Track fees for extra baggage, premium seat selection, and in-flight Wi-Fi where published on the booking grid.
Extract pricing in CNY, USD, EUR, and other local currencies based on simulated points of sale.
Run daily schedule syncs or high-frequency fare monitoring with change-detection diffing.
Brief in. Clean data out.
Provide origin-destination pairs, date ranges, or cabin classes. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for csair.com.
Schema validation, null-rate checks, price-outlier detection, and schedule verification before full launch.
JSON, CSV, or 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 stay resilient, and why teams choose managed infrastructure over DIY scripts.
csair.com employs strict rate limiting and browser fingerprinting. We use residential ISP proxies with realistic headers and session management, trained on real user behaviour patterns.
Flight search results and dynamic pricing grids require full JavaScript execution. We run Playwright browser sessions to hydrate the DOM and capture fares that headless clients miss.
Airline booking flows rely heavily on cookies and session tokens. Our crawlers maintain persistent sessions to navigate multi-step searches without triggering security blocks.
Airline booking engines update frequently. We use multiple fallback chains per field to ensure layout changes do not break your pipeline overnight.
For large route networks, we maintain a hash index of last-seen fares. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Airlines and OTAs track China Southern pricing to adjust their own revenue management algorithms.
Aviation analysts monitor schedule changes and aircraft assignments to gauge market capacity.
Metasearch engines ingest direct-channel schedules and fares to provide comprehensive flight options.
Hedge funds and analysts correlate seat availability trends with macroeconomic travel demand.
Travel management companies audit negotiated rates against public Sky Pearl fares.
Logistics and insurance firms monitor schedule changes, delays, and cancellations across the network.
"China Southern Airlines operates one of the largest fleets globally. Tracking their dynamic pricing and route capacity at scale requires infrastructure, not just a script."
Most teams underestimate the investment required: reliable airline scraping requires residential proxies, full JavaScript rendering, session token management, daily selector maintenance, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our csair.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 CN and Global regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
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 csair.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available flight schedules and fares is generally permissible. We target non-authenticated data. We do not extract personal data or circumvent authentication walls. Clients should review the site 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. Our selectors have multi-layer fallback chains so DOM changes do not break the pipeline.
High-frequency pipelines achieve sub-60-minute latency for specific routes. Full network sweeps take longer depending on the scale. Historical snapshots are available from the day your pipeline is commissioned.
Yes. We configure crawlers to extract complex routings, layover durations, and minimum connection times across major transit hubs.
Yes. We simulate points of sale to extract pricing in CNY, USD, EUR, or other local currencies as required by your downstream models.
Our smallest packages start at a defined route list with daily delivery. For larger networks or custom schema requirements, we price based on volume and delivery frequency. Contact us with your use case for a scoped quote.
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, field completeness, and data quality before signing any contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off schedule dump or a continuous fare-monitoring feed across the network, we scope, build, and operate the pipeline. Tell us what you need.
