We extract packaged tours, hotel inventory, flight routes, and pricing signals from Tuniu. 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 Packaged Tours objects from tuniu.com. All fields typed and schema-versioned.
"tour_id": "21049583", "title": "5 Days Beijing Classic Tour", "departure_city": "Shanghai", "duration_days": 5, "base_price": 2499.0, "rating": 4.8, "review_count": 1429, "supplier": "Tuniu Self-operated"
| # | tour_id | title | departure_city | destination | duration_days | base_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Hotels objects from tuniu.com. All fields typed and schema-versioned.
"hotel_id": "849201", "name": "Waldorf Astoria Shanghai on the Bund", "city": "Shanghai", "star_rating": 5, "base_price": 3150.0, "review_score": 4.9, "availability": true, "amenities": "['Pool', 'Spa', 'Gym']"
| # | hotel_id | name | city | star_rating | address | room_types |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Flights objects from tuniu.com. All fields typed and schema-versioned.
"flight_number": "MU5101", "airline": "China Eastern Airlines", "departure_airport": "SHA", "arrival_airport": "PEK", "departure_time": "2026-08-14T08:00:00+08:00", "price": 1240.0, "cabin_class": "Economy", "available_seats": 9
| # | flight_number | airline | departure_airport | arrival_airport | departure_time | arrival_time |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews objects from tuniu.com. All fields typed and schema-versioned.
"review_id": "R93847193", "product_id": "21049583", "user_name": "traveler_88", "rating": 5, "review_text": "Excellent guide and well-planned itinerary.", "travel_date": "2026-07-12", "helpful_votes": 14, "images": "['url1', 'url2']"
| # | review_id | product_id | product_type | user_name | rating | review_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing Calendar objects from tuniu.com. All fields typed and schema-versioned.
"product_id": "21049583", "date": "2026-09-01", "price": 2599.0, "adult_price": 2599.0, "child_price": 1299.0, "stock": 15, "status": "Available", "update_timestamp": "2026-05-12T10:15:00Z"
| # | product_id | date | price | stock | status | discount |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Tuniu scraper handles complex Chinese anti-bot systems, dynamic pricing calendars, and multi-layered itinerary structures with built-in JavaScript hydration and proxy rotation.
Capture daily itineraries, inclusions, exclusions, departure cities, and supplier details for domestic and international tours.
Extract day-by-day pricing grids, stock availability, and child versus adult fare differences across multiple months.
Monitor room types, cancellation policies, breakfast inclusions, and base rates across Tuniu hotel listings.
Scrape flight schedules, airline carriers, layovers, and real-time ticket pricing for specific origin and destination pairs.
Collect user feedback, star ratings, uploaded images, and supplier replies across tours, hotels, and attractions.
Simulate searches from different Chinese tier-1 and tier-2 cities to capture location-specific pricing and availability.
Utilise mainland China residential proxies to bypass geographic restrictions and access localised Tuniu content.
Execute complex frontend frameworks to render dynamic pricing widgets and lazy-loaded itinerary details.
Emit only updated pricing or inventory records to reduce downstream processing load and storage costs.
Brief in. Clean data out.
Provide tour IDs, hotel URLs, or flight routes. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, proxy rotation, and CAPTCHA handling for tuniu.com.
Schema validation, null-rate checks, price-outlier detection, and sample reviews before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Scraping Chinese OTAs requires specialised infrastructure. Here is how we maintain data flow through aggressive anti-bot measures.
Tuniu heavily restricts or alters content for non-Chinese IP addresses. We route all requests through mainland China residential proxies to ensure accurate pricing and complete inventory visibility.
Tour and flight pricing on Tuniu is dynamically loaded via complex JavaScript widgets. We use Playwright to fully render the DOM, interact with calendar elements, and extract multi-month pricing arrays.
Chinese platforms employ aggressive behavioural tracking. Our crawlers spoof device fingerprints, manage persistent cookie sessions, and introduce human-like delays to avoid triggering security challenges.
Tour itineraries contain nested days, activities, meals, and accommodations. We parse these unstructured HTML blocks into clean, queryable JSON arrays that map directly to your relational schema.
We deploy multiple CSS and XPath fallback selectors for critical fields like price and stock. If Tuniu pushes a frontend update, the pipeline continues extracting data while alerting our engineers.
Travel agencies and tour operators track Tuniu pricing to adjust their own margins and promotional offers.
Market researchers analyse popular destinations, tour durations, and seasonal demand spikes across Chinese travellers.
Hotels and airlines monitor Tuniu stock levels to predict regional occupancy rates and adjust revenue management systems.
Meta-search engines ingest Tuniu flight and hotel data to provide comprehensive comparison tools for end users.
Hospitality brands process Tuniu reviews to measure customer satisfaction and identify service improvement areas.
Data science teams use historical pricing and booking availability datasets to train demand prediction models.
"Tuniu holds critical intelligence on Chinese travel patterns and pricing dynamics, but extracting it requires specialised mainland infrastructure."
Parsing Chinese OTAs involves navigating strict geographic blocks, aggressive bot detection, and highly dynamic frontend applications. DataFlirt manages the proxy routing, JavaScript execution, and schema normalisation so your team receives structured data without the operational overhead.
Everything supported by our tuniu.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 manages orchestration and deduplication. Playwright handles JavaScript rendering, cookie management, and calendar interactions.
We maintain dedicated pools of Chinese residential proxies to ensure reliable access to geographically restricted content.
Pipelines execute on AWS Lambda and ECS. Airflow manages scheduling, dependency resolution, and SLA monitoring.
Data delivered to where your team already works — no new tooling required.
About tuniu.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing and itinerary data is generally permissible. DataFlirt extracts only non-authenticated, public information. We do not bypass login walls or extract personal user data. Clients must review their specific use cases against applicable regulations.
We route all requests through high-quality mainland China residential proxies. This ensures the Tuniu servers recognise the traffic as domestic, providing accurate pricing and preventing immediate IP bans.
Yes. We use Playwright to execute the JavaScript required to load the pricing widgets, allowing us to extract day-by-day availability and fare differences over multiple months.
For targeted flight routes or specific tour packages, we can configure hourly pipelines. Full category scans typically run on a daily cadence, completing within a 4 to 8 hour window.
Yes. We convert unstructured HTML itinerary blocks into structured JSON, capturing daily activities, included meals, accommodation details, and transit methods.
Our minimum engagement typically starts with a defined list of 5,000 to 10,000 URLs or search queries delivered weekly. We provide custom quotes based on volume and frequency requirements.
Yes. We provide a sample extraction of up to 100 tours or hotel listings during the scoping phase, allowing your engineering team to validate the schema and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need daily price benchmarking across 10,000 tours or a one-off extraction of hotel reviews, we build and operate the infrastructure. Tell us your requirements.
