We extract expedition itineraries, dynamic cabin pricing, departure schedules, and excursion metadata from Hurtigruten. 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 hurtigruten.com. All fields typed and schema-versioned.
"itinerary_id": "HRG-NOR-12", "title": "Classic Round Voyage", "duration_days": 12, "destination": "Norway", "ship_name": "MS Richard With", "embarkation_port": "Bergen", "disembarkation_port": "Kirkenes"
| # | itinerary_id | title | duration_days | destination | ship_name | embarkation_port |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Departures & Pricing objects from hurtigruten.com. All fields typed and schema-versioned.
"departure_date": "2024-11-15", "cabin_category": "Arctic Superior", "price": 3450.0, "currency": "EUR", "availability_status": "Available", "discount_applied": false
| # | departure_id | itinerary_id | departure_date | arrival_date | ship_name | cabin_category |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Ships & Deck Plans objects from hurtigruten.com. All fields typed and schema-versioned.
"ship_name": "MS Roald Amundsen", "build_year": 2019, "passenger_capacity": 530, "gross_tonnage": 20889, "deck_count": 9, "cabin_count": 265
| # | ship_id | ship_name | build_year | passenger_capacity | gross_tonnage | length_meters |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Excursions objects from hurtigruten.com. All fields typed and schema-versioned.
"title": "Dog Sledding in Tromso", "associated_port": "Tromso", "duration_hours": 3.5, "price": 195.0, "currency": "EUR", "activity_level": "Moderate"
| # | excursion_id | title | associated_port | duration_hours | price | currency |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Ports of Call objects from hurtigruten.com. All fields typed and schema-versioned.
"port_name": "Honningsvag", "country": "Norway", "latitude": 70.9821, "longitude": 25.9704, "arrival_time": "11:15", "departure_time": "14:45"
| # | port_id | port_name | country | latitude | longitude | description |
|---|---|---|---|---|---|---|
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Our Hurtigruten scraper handles complex booking flows, extracting dynamic cabin pricing, detailed itineraries, and excursion metadata with full JavaScript rendering.
Day-by-day breakdown, ports of call, activities, and destination highlights mapped for every voyage.
Track Polar Outside, Arctic Superior, and Expedition Suites pricing across all forward departure dates.
Deck plans, amenities, capacity metrics, and technical details for the entire Coastal Express and Expedition fleet.
Seasonal activities, excursion pricing, physical requirements, and port associations.
Extract pricing in EUR, USD, GBP, or NOK based on locale parameters and target markets.
Monitor sold-out cabins, waitlist status, and inventory depth across specific sailings.
Capture Northern Lights Promise eligibility, seasonal discounts, and package inclusions.
Playwright execution for dynamic booking flow hydration and interactive deck plan parsing.
Only export changed prices and new departure dates to reduce downstream processing load.
Brief in. Clean data out.
Provide target regions, ships, or date ranges. We map out the extraction schema.
We configure Playwright crawlers, session management, and rate limiting for hurtigruten.com.
Schema validation, price-outlier checks, and null-rate monitoring before deployment.
JSON / CSV / Parquet pushed to your S3 bucket or Snowflake on agreed cadence.
Travel sites use dynamic pricing and multi-step booking funnels. Here is how we ensure reliable data extraction.
We utilise residential ISP proxies to bypass rate limits and WAF protections, ensuring uninterrupted access to pricing data.
Dynamic booking calendars and price hydration require full browser execution. We capture data that headless HTTP clients miss.
Maintaining session state across multiple steps to extract final cabin availability and inclusive pricing.
Complex interactive deck plans and itinerary maps require fallback selector chains to handle layout updates.
Hash indexing of cabin prices ensures we only output diffs, reducing storage bloat and downstream compute costs.
Cruise operators monitor Hurtigruten pricing strategies across cabin tiers to adjust their own yield management.
Track capacity deployment and itinerary popularity in polar regions to identify macro travel trends.
OTAs integrate live departure dates and pricing into their booking engines for comprehensive inventory display.
Analyse seasonal discount patterns and availability curves to optimise pricing models and promotional timing.
Identify gaps in excursion offerings and port combinations to design competitive travel packages.
PE firms track fleet utilisation and forward-booking indicators to evaluate company performance.
"Hurtigruten's pricing and availability data is highly dynamic, shifting based on seasonality and cabin inventory. Capturing this requires sophisticated session management."
Extracting structured cruise data requires navigating complex multi-step booking flows, dynamic JavaScript calendars, and strict rate limits. DataFlirt handles the proxy rotation, session state, and DOM parsing so your team can focus on yield analysis and market intelligence rather than pipeline maintenance.
Everything supported by our hurtigruten.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.
Crawl orchestration combined with JavaScript execution to handle dynamic booking calendars and interactive deck plans.
Maintaining cookies and session tokens across multi-step booking funnels to extract final cabin availability and pricing.
Pipelines run on AWS Lambda and ECS with Airflow handling scheduling, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About hurtigruten.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing, itinerary, and excursion data is generally permissible. We do not extract authenticated user data or post-booking information.
We use Playwright to execute JavaScript and maintain session state across the multi-step booking funnels, ensuring we capture accurate final pricing.
Yes. We can target specific regional endpoints and inject locale parameters to extract pricing in EUR, USD, GBP, NOK, or other supported currencies.
We can configure pipelines for daily or sub-daily cadences depending on your requirements and the volume of target departures.
Yes. We extract ship configurations, cabin mapping, and amenity details associated with specific deck plans.
Yes. We offer a sample run of up to 50 departures to validate schema fit and data quality before full pipeline deployment.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off itinerary export or continuous price monitoring across all departures, we scope, build, and operate the pipeline.
