The Planet Cruise Itineraries Dataset provides comprehensive insights into scheduled sailings, helping businesses track voyage details and plan effectively. This dataset is valuable for analyzing cruise trends, optimizing travel strategies, and enhancing decision-making. It also enables businesses to Scrape Planet Cruise Data, ensuring accurate and up-to-date information for competitive advantage in the travel and hospitality industry.
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The Planet Cruise Itineraries Dataset provides web-scraped cruise schedule data from multiple countries, including the USA, Italy, Germany, Canada, Australia, the UK, UAE, Spain, China, India, Japan, Switzerland, Qatar, Singapore, Ireland, Macao SAR, Luxembourg, Austria, Denmark, and Norway. Businesses can leverage Planet Cruise Itinerary Scraping to analyze cruise schedules, track route trends, and enhance travel planning strategies. By integrating real-time data, companies gain valuable insights into sailing patterns, helping them optimize offerings and improve passenger experiences. This dataset is essential for travel businesses, analysts, and industry professionals seeking Cruise Pricing Intelligence, ensuring data-driven decision-making and effective market positioning in the competitive cruise industry.
Cruise ID | Website URL | Route Name / Itinerary Title | Departure Port (City & Country) | Destination / Final Port | Ports of Call | Duration (Days / Nights) | Route Distance (NM / km) | Seasonal Availability | Passenger Capacity | Cabin Categories & Availability | Ticket Price Range (USD) | Discounts & Offers | Onboard Facilities | Customer Reviews (Avg Rating, Count, Sentiment %) |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
PC001 | Planet Cruise (Oceania Cruises) | Spice Routes & Roman Roads from Tokyo to Rome | Tokyo, Japan | Rome (Civitavecchia), Italy | Many Asia–Europe stops (e.g., Manila, Dubai, Athens) | 67 Nights | Est. ~12,000 NM | Apr-27 | Varies by ship | Suites, Veranda, etc. | Not listed | Complimentary Wi-Fi, Transfers | Full amenities | Not specified (Planet Cruise) |
PC002 | Planet Cruise (Celebrity Cruises) | The Spice Route from Mumbai to Singapore | Mumbai, India | Singapore | Goa, Cochin, Colombo, Phuket, Penang, Port Klang | 13 Nights | Est. regional | Nov-25 | Celebrity Millennium | Standard-Plus Categories | Not listed | Included amenities | Full facilities | Not specified (Planet Cruise) |
PC003 | Planet Cruise (Oceania Cruises) | Ancient Spice Routes from Singapore to Dubai | Singapore | Dubai, UAE | Port Klang, Phuket, Colombo, Cochin, Mumbai, Muscat, Abu Dhabi | 21 Nights | Est. ~5,000+ NM | Apr-26 | Vista – ~1,230 pax | Veranda, Concierge level | ~£7,099 (~USD 9,000+) | Hamper, Drinks, Wi-Fi | Butler, Wi-Fi, Dining | Not specified (Planet Cruise) |
$83
Immediate download or SFTP / Cloud delivery (AWS S3, GCS, Azure)
CSV / JSON / XLSX / API
120K
Formats: CSV, JSON, XLSX, API
Records:120K
Integrations: AWS S3, Google Cloud Storage, Azure
Leverage Cruise And Ferry Data Scraping to access real-time cruise itineraries, pricing insights, and onboard amenities.
Track essential cruise details, including:
✈ Ship Details
💵 Sailing Schedule
✈ Port Stops
🧾 Event Cruises
Optimize cruise offerings with:
🏨 Booking Trends
💹 Price Variations
📅 Destination Demand
🧭 Market Analysis
Access detailed port and destination insights:
💵 Embarkation Ports
📍 Regional Routes
🚌 Peak Travel
Enhance pricing strategies with Travel Data Intelligence:
💲 Fare Tracking
📈 Discount Monitoring
🏚 Cabin Pricing
Directly retrieve structured, accurate flight details from Google Flight with the Google Flights Dataset API.
Gain easy access to structured Planet Cruise fare details via the Planet Cruise Dataset API.
Book ferry tickets, check schedules, and compare routes.
Access cruise reviews, ratings, and travel recommendations.
Find and book cruise deals from multiple cruise lines.
Book flights and cruise vacations with airline loyalty benefits.
Unlock the power of data-driven insights. Connect with Travel Scrape to explore how our datasets can enhance your business strategies and decision-making.