We extract cruise itineraries, dynamic suite pricing, ship specifications, and port-of-call schedules from Oceania Cruises. 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 oceaniacruises.com. All fields typed and schema-versioned.
"voyage_id": "MRN240815", "ship_name": "Marina", "departure_port": "Barcelona, Spain", "arrival_port": "Rome (Civitavecchia), Italy", "duration_days": 10, "departure_date": "2024-08-15"
| # | voyage_id | ship_name | departure_port | arrival_port | duration_days | departure_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Pricing & Suites objects from oceaniacruises.com. All fields typed and schema-versioned.
"voyage_id": "MRN240815", "suite_category": "Penthouse Suite", "suite_code": "PH1", "price_per_guest": 5499.0, "currency": "USD", "availability_status": "Available"
| # | voyage_id | suite_category | suite_code | price_per_guest | currency | availability_status |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Ships objects from oceaniacruises.com. All fields typed and schema-versioned.
"ship_name": "Marina", "guest_capacity": 1250, "crew_size": 800, "tonnage": 66084, "year_built": 2011, "year_refurbished": 2024
| # | ship_name | guest_capacity | crew_size | tonnage | length | year_built |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Shore Excursions objects from oceaniacruises.com. All fields typed and schema-versioned.
"excursion_id": "BCN-01A", "port_name": "Barcelona, Spain", "title": "Gaudis Architectural Wonders", "duration_hours": 4.5, "activity_level": "Moderate", "price": 149.0
| # | excursion_id | port_name | title | duration_hours | activity_level | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Ports of Call objects from oceaniacruises.com. All fields typed and schema-versioned.
"port_id": "CIV", "port_name": "Rome (Civitavecchia)", "country": "Italy", "arrival_time": "08:00 AM", "departure_time": "08:00 PM", "tender_required": false
| # | port_id | port_name | country | region | arrival_time | departure_time |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Our Oceania Cruises scraper handles the complexities of travel booking engines: stateful session management, dynamic pricing overlays, and availability calendars.
Departure dates, port sequences, arrival and departure times, and regional categorisation for every voyage.
Capture real-time pricing per suite category, including waitlist status and promotional overlays.
Extract ship specifications, deck layouts, and cabin locations mapped to specific pricing tiers.
Detailed excursion descriptions, activity levels, durations, and pricing across all ports of call.
Monitor limited-time offers, airfare inclusions, and onboard credit promotions applied to specific voyages.
Extract pricing in USD, GBP, EUR, and AUD based on regional site configurations.
Detailed arrival and departure times for each port, including tender requirements and overnight stays.
Extract speciality dining venue details, menus, and reservation requirements per ship.
Run one-off bulk exports or configure continuous pipelines at daily or hourly cadences.
Brief in. Clean data out.
Provide regions, ship names, or departure date ranges. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for oceaniacruises.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.
Travel booking engines invest heavily in bot mitigation. Here is how we stay resilient.
Travel sites often use Akamai or Cloudflare. Our crawlers use residential ISP proxies with realistic browser fingerprints and full cookie session management to bypass perimeter defences.
Booking funnels and availability calendars are heavily JavaScript-rendered. We run full Playwright browser sessions to hydrate dynamic pricing widgets that headless HTTP clients miss entirely.
Extracting final suite pricing requires maintaining session state through the booking funnel. We handle the necessary cookie exchanges and regional selections to return accurate local pricing.
Marketing teams frequently update promotional layouts. Our selector strategy uses multiple fallback chains per field so a layout change does not break your data pipeline overnight.
For large itinerary catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing downstream processing load.
Luxury cruise lines monitor Oceania Cruises pricing, promotions, and availability to optimise their own revenue management strategies.
Online travel agencies integrate structured itinerary and pricing data directly into their booking platforms.
Analysts track ship deployments, regional capacity, and new itinerary launches to identify market trends.
Revenue management teams use historical pricing and availability data to train dynamic pricing algorithms.
Correlate waitlist status and price increases with departure dates to forecast regional travel demand.
Tour operators analyse shore excursion catalogues and pricing to benchmark their own port offerings.
"Oceania Cruises maintains highly dynamic pricing and availability calendars, requiring stateful session management to extract accurate fare data."
Extracting accurate cruise data requires more than simple HTTP requests. Travel booking engines rely on complex session state, heavy JavaScript payloads, and aggressive bot mitigation. DataFlirt manages the residential proxies, browser rendering, and session handling required to deliver clean itinerary and pricing data.
Everything supported by our oceaniacruises.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 target 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 oceaniacruises.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from travel websites is generally permissible under applicable law. DataFlirt targets only public, non-authenticated itinerary, pricing, and ship data. We do not extract personal data or circumvent authentication walls. Clients should review relevant terms of service 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 to navigate Akamai and Cloudflare protections.
Yes. We capture base fares as well as promotional overlays, including airfare inclusions, onboard credit offers, and specific marketing campaigns applied to the voyage.
Pipelines can be configured to run daily or at higher frequencies for specific high-priority voyages, ensuring waitlist status and suite availability remain accurate.
Yes. We extract ship specifications, deck layouts, and public venue details, mapping suite categories to their respective locations on the vessel.
Our smallest packages start at a defined set of regions or ships with weekly delivery. For full catalogue extraction or custom schema requirements, we price based on volume and delivery frequency.
Absolutely. We provide a sample run of up to 50 voyages as part of the pre-engagement scoping process so you can validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off itinerary catalogue dump or a continuous price-monitoring feed across all voyages, we scope, build, and operate the pipeline. Tell us what you need.
