We extract cruise itineraries, dynamic cabin pricing, ship amenities, and port schedules from cruises.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 Itineraries objects from cruises.com. All fields typed and schema-versioned.
"sailing_id": "CRZ-8921", "cruise_line": "Royal Caribbean", "ship_name": "Symphony of the Seas", "departure_port": "Miami, FL", "duration_days": 7, "destination": "Eastern Caribbean", "departure_date": "2024-11-12"
| # | sailing_id | cruise_line | ship_name | departure_port | destination | duration_days |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Pricing & Cabins objects from cruises.com. All fields typed and schema-versioned.
"sailing_id": "CRZ-8921", "cabin_category": "Balcony", "cabin_type": "Ocean View Balcony", "price_per_person": 849.0, "taxes_fees": 154.5, "currency": "USD", "availability_status": "Available"
| # | sailing_id | cabin_category | cabin_type | price_per_person | taxes_fees | total_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Ship Details objects from cruises.com. All fields typed and schema-versioned.
"ship_id": "SHP-104", "ship_name": "Symphony of the Seas", "cruise_line": "Royal Caribbean", "passenger_capacity": 6680, "crew_size": 2200, "tonnage": 228081, "build_year": 2018
| # | ship_id | ship_name | cruise_line | build_year | refurbished_year | passenger_capacity |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Port Schedules objects from cruises.com. All fields typed and schema-versioned.
"sailing_id": "CRZ-8921", "day_number": 3, "port_name": "San Juan", "country": "Puerto Rico", "arrival_time": "08:00", "departure_time": "17:00", "activity_type": "Docked", "tender_required": false
| # | sailing_id | day_number | port_name | country | arrival_time | departure_time |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Promotions objects from cruises.com. All fields typed and schema-versioned.
"sailing_id": "CRZ-8921", "promo_code": "BOGO50", "promo_title": "50% Off Second Guest", "discount_pct": 50, "booking_window_end": "2024-05-31T23:59:59Z", "eligible_cabins": "['Ocean View', 'Balcony', 'Suite']"
| # | sailing_id | promo_code | promo_title | promo_description | discount_pct | discount_abs |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Our cruises.com scraper navigates search forms, handles session tokens, and renders dynamic pricing grids to deliver structured itinerary and cabin data.
Capture departure dates, return dates, duration, destination regions, and complete port-of-call schedules for every sailing.
Extract base prices, taxes, port fees, and total costs across all cabin categories (Interior, Ocean View, Balcony, Suite).
Collect ship specifications, passenger capacity, build year, dining options, and onboard amenities.
Track sold-out cabin categories and capacity constraints to model demand curves across specific sailings.
Extract onboard credit offers, drink package inclusions, and percentage discounts tied to specific booking windows.
Map arrival times, departure times, and tender requirements for every day of the itinerary.
Track default sort rankings and filter combinations to understand inventory positioning.
Normalise data across Carnival, Royal Caribbean, Norwegian, Princess, and luxury lines into a single schema.
Run continuous pipelines at daily or hourly cadences, emitting only changed prices to reduce storage bloat.
Brief in. Clean data out.
Provide target cruise lines, regions, or date ranges. We design the extraction schema together.
We configure Playwright crawlers, proxy rotation, session management, and form-submission handling for cruises.com.
Schema validation, null-rate checks, price-outlier detection, and sample itineraries before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Travel aggregators rely on complex session management and dynamic pricing grids. Here is how we maintain stable extraction.
Cruises.com pricing grids require active session tokens generated during the initial search request. Our crawlers maintain strict cookie jars and token passing throughout the pagination flow to ensure accurate pricing extraction without session drops.
Cabin availability and final pricing calculations are heavily JavaScript-rendered. We run full Playwright browser sessions to trigger dynamic widget hydration, capturing total costs including taxes and port fees.
Travel sites monitor request velocity and IP reputation. Our crawlers use residential ISP proxies with realistic browser fingerprints and randomised request timing to avoid IP bans and rate limiting.
DOM structures for promotional banners and cabin details change frequently. We use multiple fallback chains per field, including CSS selectors, XPath, and text-pattern matching, to maintain pipeline stability.
Every run emits structured logs to our observability stack. We alert on null-rate spikes in critical fields like price_per_person or taxes_fees, responding to site changes before they impact your downstream models.
Travel agencies and OTAs monitor base prices and port fees to ensure competitive parity and optimise margin.
Analysts track itinerary deployments and ship repositioning to identify regional capacity trends.
Cruise operators benchmark their promotional offers against competitors across identical departure windows.
Travel aggregators combine extracted cruise itineraries with flight and hotel APIs to build complete holiday packages.
Data teams correlate sold-out cabin categories with booking windows to model demand elasticity.
Hedge funds track fleet deployment and pricing strength to evaluate the financial health of publicly traded cruise lines.
"Cruises.com aggregates the most complex travel inventory available, but extracting structured cabin pricing requires constant navigation of dynamic search sessions."
Most teams underestimate the complexity of scraping cruise data. Pricing changes by the minute, requires active session tokens, and is buried behind heavy JavaScript rendering. DataFlirt manages the residential proxies, browser sessions, and schema maintenance so your engineers can focus on building travel products.
Everything supported by our cruises.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 deduplication. Playwright handles JavaScript rendering, session tokens, and form submissions.
We maintain pools of residential ISP proxies. Rotation happens per-session to keep search tokens valid across pagination.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About cruises.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing and itinerary information is generally permissible. DataFlirt targets only public, non-authenticated search results. We do not extract personal data or circumvent authentication walls.
We use full Playwright browser sessions to execute the necessary search forms and render the final pricing grids, capturing the exact values presented to users.
Yes. Our schema separates the base cabin fare from mandatory taxes, port expenses, and total booking costs.
Yes. We monitor cabin category statuses, capturing 'Available', 'Guarantee', or 'Sold Out' flags for each sailing.
We configure pipelines to run at your required cadence. Daily refreshes are standard, but hourly tracking is available for specific high-priority sailings.
Yes. Ship profile extraction includes URLs for deck plan images, exterior ship shots, and amenity galleries.
Our smallest packages start at a defined set of cruise lines or regions with weekly delivery. Contact us with your use case for a scoped quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off itinerary dump or a continuous price-monitoring feed across thousands of sailings, we scope, build, and operate the pipeline. Tell us what you need.
