We extract flight availability, hotel room rates, train schedules, and user reviews from Ctrip. 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 Flights objects from ctrip.com. All fields typed and schema-versioned.
"flight_number": "CZ3099", "airline": "China Southern Airlines", "departure_airport": "PEK", "arrival_airport": "SHA", "price": 1250.0, "currency": "CNY", "cabin_class": "Economy", "available_seats": 9
| # | flight_id | airline | flight_number | departure_airport | arrival_airport | departure_time |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Hotels objects from ctrip.com. All fields typed and schema-versioned.
"hotel_id": "HTL8892", "name": "The Peninsula Shanghai", "star_rating": 5, "city": "Shanghai", "room_type": "Deluxe River View", "price_per_night": 4200.0, "currency": "CNY", "review_score": 4.8, "breakfast_included": true
| # | hotel_id | name | star_rating | location | city | latitude |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Trains objects from ctrip.com. All fields typed and schema-versioned.
"train_number": "G12", "train_type": "High-Speed", "departure_station": "Shanghai Hongqiao", "arrival_station": "Beijing South", "duration": "4h 28m", "seat_class": "First Class", "price": 933.0, "tickets_left": 14
| # | train_number | train_type | departure_station | arrival_station | departure_time | arrival_time |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews objects from ctrip.com. All fields typed and schema-versioned.
"review_id": "REV99281", "target_id": "HTL8892", "rating": 5.0, "user_level": "Ctrip Diamond", "travel_type": "Business", "date_posted": "2026-03-14", "review_text": "Excellent service and location.", "helpful_votes": 12
| # | review_id | target_id | target_type | user_name | user_level | rating |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Buses & Transfers objects from ctrip.com. All fields typed and schema-versioned.
"route_id": "BUS441", "operator": "Shanghai Long-Distance", "departure_city": "Shanghai", "arrival_city": "Hangzhou", "departure_time": "08:30", "price": 75.0, "currency": "CNY", "seats_available": 22
| # | route_id | operator | departure_city | arrival_city | departure_station | arrival_station |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Ctrip scraper targets every vertical of the platform: flight schedules, dynamic hotel pricing, high-speed rail networks, and user reviews. Built with advanced session management and proxy rotation to bypass regional blocks.
Extract live flight schedules, cabin classes, and dynamic pricing across domestic and international routes.
Monitor room availability, rate changes, and cancellation policies for millions of properties globally.
Capture real-time train timetables, seat availability, and fare classes for China's railway network.
Scrape hotel and attraction reviews, including text, ratings, traveler types, and Ctrip Diamond member status.
Extract pricing in CNY, USD, or local currencies and normalise against base rates for consistent analysis.
Map intercity bus schedules, operator details, and ticket availability across regional hubs.
Track pricing, availability, and bundle deals for theme parks, museums, and local tours.
Identify surge pricing, member-only discounts, and promotional rates applied during peak booking windows.
Run extraction pipelines at hourly intervals to catch fast-moving inventory changes before holidays.
Brief in. Clean data out.
Provide route lists, city pairs, or hotel IDs. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and CAPTCHA handling for ctrip.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.
Ctrip deploys aggressive rate limiting and regional pricing models. Here is how we maintain data integrity at scale.
Ctrip deploys aggressive rate limiting and IP bans. Our crawlers use residential ISP proxies localized to mainland China and global regions, with realistic browser fingerprints to evade detection.
Ctrip's flight and hotel search results rely heavily on client-side rendering. We run full Playwright browser sessions to hydrate dynamic pricing grids and capture data that headless HTTP clients miss.
Pricing often varies based on user session and origin IP. We manage stateless requests and localized headers to ensure base public pricing is captured accurately without user-specific bias.
Flight and train tickets sell out in minutes during Golden Week. Our infrastructure supports sub-minute polling intervals for specific high-value routes without triggering security blocks.
Travel OTAs update their DOM frequently to deter scraping. We implement multi-layer fallback chains using XPath, CSS, and API interception to ensure pipeline continuity.
Hotels and airlines track Ctrip listings to ensure pricing consistency across OTAs and direct channels.
Travel agencies analyse route coverage, pricing strategies, and promotional discounts offered by competitors.
Hedge funds and analysts track hotel availability and flight search volume as leading indicators for macroeconomic travel trends.
Boutique hotels monitor local market rates to adjust their own inventory pricing in real time.
Hospitality groups aggregate user reviews to monitor brand reputation and identify service issues.
Transport operators analyse intercity train and bus schedules to optimise their own network coverage.
"Ctrip controls the largest inventory of Asian travel data globally. Accessing its raw pricing and schedule signals is mandatory for competitive travel intelligence."
Extracting data from Ctrip requires bypassing sophisticated geo-blocking, dynamic JavaScript rendering, and aggressive rate limits. DataFlirt manages the residential proxy networks, CAPTCHA solvers, and DOM maintenance required to deliver clean travel data at scale, allowing your team to focus entirely on pricing models and market analysis.
Everything supported by our ctrip.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 and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows for dynamic travel grids.
We maintain pools of residential ISP proxies across mainland China, APAC, and Western regions to capture localised pricing and avoid regional blocks.
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 ctrip.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing and schedule data is generally permissible. DataFlirt extracts only public, non-authenticated information. We do not extract personal user data or bypass authentication walls. Clients should review Ctrip's ToS and consult legal counsel.
We utilise geo-targeted residential proxies, realistic browser fingerprinting via Playwright, and randomised request intervals. This ensures our traffic mimics legitimate user behaviour, bypassing IP bans and CAPTCHAs.
Yes. By routing requests through specific regional proxies, we capture localised pricing and inventory differences presented to users in different geographies.
For specific routes or properties, we configure high-frequency pipelines that poll every few minutes. Full catalogue sweeps are typically executed on a daily or weekly cadence.
Yes. We extract comprehensive timetables, seat availability, and pricing for high-speed and conventional rail networks across China and supported international routes.
Our selector strategy uses multi-layer fallback chains and API interception. If the DOM changes, our automated monitoring flags schema drift, and our engineers update the pipeline before data delivery is impacted.
We maintain a time-series record of all extracted data from the moment your pipeline is commissioned. We build net-new pipelines and do not sell pre-existing historical datasets.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need continuous price parity monitoring or a daily feed of flight schedules - we scope, build, and operate the pipeline. Tell us what you need.
