We extract cruise sailings, cabin availability, dynamic pricing, and ship metadata from Carnival. 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 & Sailings objects from carnival.com. All fields typed and schema-versioned.
"sailing_id": "CAR-MIA-BHM-4D-20241012", "ship_name": "Carnival Conquest", "departure_port": "Miami, FL", "departure_date": "2024-10-12", "duration_days": 4, "base_price": 289.0, "currency": "USD", "is_sold_out": false
| # | sailing_id | ship_name | destination | departure_port | departure_date | return_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Cabin Pricing objects from carnival.com. All fields typed and schema-versioned.
"sailing_id": "CAR-MIA-BHM-4D-20241012", "cabin_category": "Balcony", "cabin_code": "8B", "deck_name": "Verandah", "price_per_person": 459.0, "onboard_credit": 50.0, "availability_status": "Available", "scraped_at": "2024-05-12T08:14:00Z"
| # | sailing_id | cabin_category | cabin_code | deck_name | occupancy_limit | price_per_person |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Ship Metadata objects from carnival.com. All fields typed and schema-versioned.
"ship_name": "Carnival Mardi Gras", "ship_class": "Excel", "guest_capacity": 5282, "crew_size": 1735, "year_built": 2021, "deck_count": 19, "tonnage": 180800
| # | ship_id | ship_name | ship_class | guest_capacity | crew_size | length_ft |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Shore Excursions objects from carnival.com. All fields typed and schema-versioned.
"excursion_id": "EXC-BHM-001", "port_name": "Nassau, Bahamas", "title": "Blue Lagoon Island VIP Beach Day", "duration_hours": 5.5, "price_adult": 129.99, "activity_level": "Moderate", "rating": 4.6, "wheelchair_accessible": false
| # | excursion_id | port_name | title | duration_hours | activity_level | minimum_age |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Ports of Call objects from carnival.com. All fields typed and schema-versioned.
"port_name": "Cozumel", "country": "Mexico", "region": "Caribbean", "currency_accepted": "MXN, USD", "language_spoken": "Spanish", "timezone": "EST", "weather_avg_high": 88, "latitude": 20.4225
| # | port_id | port_name | country | region | latitude | longitude |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Our scraper handles Carnival's dynamic booking engine, multi-step pricing flows, and interactive deck plans. We bypass session rate limits to deliver clean, structured travel data.
Extract all sailings, departure dates, ports of call, and ship assignments across Carnival's global schedule.
Capture real-time rates for Interior, Ocean View, Balcony, and Suite categories, including promotional fares and onboard credit offers.
Separate base fare from mandatory taxes, fees, and port expenses for accurate total-cost calculations.
Extract cabin locations, deck layouts, and public area metadata from interactive deck plan SVGs.
Scrape activity descriptions, pricing, duration, and restrictions for all port excursions.
Catalogue onboard restaurants, bars, entertainment venues, and complimentary vs. specialty dining options.
Manage session cookies to extract pricing in USD, AUD, EUR, or GBP based on target market.
Monitor sold-out status and inventory depth signals for specific cabin categories and sailings.
Run daily or hourly diffs to track price drops, itinerary changes, and new sailing releases.
Brief in. Clean data out.
Provide departure ports, date ranges, or specific ships. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for carnival.com.
Schema validation, null-rate checks, price-outlier detection, and sample records before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Carnival relies heavily on session state, dynamic pricing hydration, and anti-scraping measures. Here is how we maintain data integrity.
Carnival's pricing engine requires strict sequential state. We simulate the exact request flow of a user selecting a sailing, choosing guest counts, and querying cabin availability to ensure accurate rate returns.
Final cabin pricing and promotional banners are loaded via asynchronous JavaScript calls. We utilize Playwright to render the DOM fully and intercept XHR responses containing the raw JSON pricing data.
Frequent searches on the same date range trigger IP bans. We distribute requests across a US residential proxy network, rotating IPs and standardizing request intervals to mimic organic search behaviour.
Carnival frequently updates its promotional UI. Our extraction relies on underlying API responses and multi-layered fallback selectors to maintain pipeline stability during site updates.
Prices vary by the user's booking region. We inject specific geolocation headers and regional cookies to extract localized pricing for international OTA clients.
Online Travel Agencies ingest Carnival itineraries and pricing to populate their own cruise booking engines.
Rival cruise lines track Carnival's promotional cadences, base fares, and onboard credit offers to adjust their own yield management strategies.
Tour operators combine extracted cruise schedules with flight and hotel data to create pre- and post-cruise vacation packages.
Analysts track deployment shifts, new ship capacities, and itinerary adjustments to gauge regional tourism demand.
LLM developers use structured cruise metadata, excursion descriptions, and ship amenities to train travel recommendation agents.
Port authorities and local excursion vendors track ship arrival schedules and passenger capacities for operational forecasting.
"Cruise pricing is notoriously opaque. Without automated extraction, tracking yield management across thousands of sailings is impossible."
Extracting data from Carnival requires navigating session-dependent booking flows, dynamic JavaScript rendering, and aggressive rate limiting. DataFlirt manages the proxy rotation, session state, and DOM parsing so your team can focus on travel analytics and product development.
Everything supported by our carnival.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. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
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 carnival.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Carnival is generally permissible. DataFlirt targets only public, non-authenticated itinerary, pricing, and ship data. We do not extract personal data, circumvent authentication walls, or violate GDPR. Clients should review Carnival's ToS and consult legal counsel for specific use cases.
We use Playwright to simulate the exact sequential booking flow, triggering the necessary JavaScript to hydrate the final pricing widgets. We extract the base fare, taxes, and fees directly from the underlying API responses.
Yes. We manage regional cookies and geo-targeted proxies to extract pricing specific to US, UK, European, or Australian markets.
Pipelines can be configured for daily full-catalogue refreshes or high-frequency polling on specific high-value sailings to capture intraday price drops.
Yes. We map all available shore excursions to their respective ports of call, including descriptions, pricing, duration, and activity levels.
Absolutely. We provide a sample run of up to 100 sailings or specific ship itineraries as part of the pre-engagement scoping process to validate schema fit.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily sync of all Caribbean sailings or continuous price monitoring across the entire fleet — we scope, build, and operate the pipeline. Tell us what you need.
