We extract cruise itineraries, dynamic cabin pricing, port schedules, shore excursions, and ship specifications from Ponant. 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 Cruise Itineraries objects from ponant.com. All fields typed and schema-versioned.
"cruise_id": "PO120526", "title": "The Geographic North Pole", "ship_name": "Le Commandant Charcot", "duration_days": 16, "departure_port": "Longyearbyen", "arrival_port": "Longyearbyen", "departure_date": "2026-07-12", "theme": "Polar Expedition"
| # | cruise_id | title | ship_name | duration_days | departure_port | arrival_port |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Cabins objects from ponant.com. All fields typed and schema-versioned.
"cruise_id": "PO120526", "cabin_category": "Prestige Stateroom", "cabin_type": "Stateroom", "deck_number": "Deck 6", "price_per_person": 34500.0, "currency": "EUR", "availability_status": "Waitlist", "discount_applied": "Ponant Bonus 15%"
| # | cruise_id | cabin_category | cabin_type | deck_number | price_per_person | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Port Calls & Routing objects from ponant.com. All fields typed and schema-versioned.
"cruise_id": "PO120526", "day_number": 4, "port_name": "Pack Ice Navigation", "country": "International Waters", "activity_type": "Scenic Cruising", "latitude": "85.0000", "longitude": "15.0000", "arrival_time": "08:00"
| # | cruise_id | day_number | port_name | country | arrival_time | departure_time |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Ships & Fleet objects from ponant.com. All fields typed and schema-versioned.
"ship_name": "Le Commandant Charcot", "ship_class": "Polar Exploration Vessel", "built_year": 2021, "length_meters": 150.0, "ice_class": "PC2", "guest_capacity": 245, "crew_size": 215, "cruising_speed_knots": 15.0
| # | ship_id | ship_name | ship_class | built_year | length_meters | beam_meters |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Shore Excursions objects from ponant.com. All fields typed and schema-versioned.
"excursion_id": "EXC-SVA-01", "cruise_id": "PO120526", "port_name": "Longyearbyen", "title": "Dog Sledding in Svalbard", "duration_hours": 3.5, "activity_level": "Moderate", "price": 180.0, "currency": "EUR"
| # | excursion_id | cruise_id | port_name | title | duration_hours | activity_level |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Ponant scraper navigates complex booking flows, dynamic pricing grids, and interactive itineraries to deliver structured cruise data ready for your warehouse.
Extract full routing details, day-by-day schedules, departure and arrival ports, and thematic tags across all luxury expeditions.
Track cabin categories, deck-level pricing, Ponant Bonus discounts, and single supplement rates across multiple currencies.
Extract technical details, deck plans, guest capacity, crew ratios, and ice-class certifications for every vessel.
Capture geospatial data for port calls, arrival times, departure times, and scenic cruising segments.
Mine activity levels, pricing, durations, and detailed descriptions for pre-bookable shore excursions.
Monitor early booking bonuses, back-to-back cruise reductions, and family offers applied to specific departures.
Categorise sailings by polar, tropical, cultural, or musical themes, including special guest speaker profiles.
Extract localized pricing and availability from Ponant's regional domains targeting European, US, and APAC markets.
Run daily pipelines to detect price shifts, sold-out cabin categories, and itinerary modifications.
Brief in. Clean data out.
Provide target regions, specific ships, or travel dates. We design the extraction schema together.
We configure Playwright crawlers, handle regional cookies, and bypass anti-bot protections on ponant.com.
Schema validation, null-rate checks, and price-outlier detection before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Travel sites rely heavily on session-based pricing and dynamic JavaScript rendering. Here is how we maintain stable data extraction.
Ponant's cabin availability and pricing grids are heavily JavaScript-rendered and rely on session tokens. We run full Playwright browser sessions to interact with the booking engine and extract accurate live pricing.
Travel sites monitor scrape velocity and block datacentre IPs. Our crawlers use residential ISP proxies with realistic browser fingerprints to blend in with legitimate user traffic.
Cruise itineraries frequently change formatting based on expedition type. We use multiple fallback chains per field to ensure a layout change does not break your data pipeline.
For large travel catalogues, we maintain a hash index of last-seen values per departure. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, missing pricing data, and coverage drops.
Competitor analysis for luxury and expedition cruise lines to monitor Ponant's deployment and pricing strategies.
Keep inventory, pricing, and itinerary details updated across luxury travel booking platforms.
Revenue management teams monitor luxury expedition pricing curves and discount velocity.
Feed structured itinerary and ship data directly into travel advisor tools for client proposals.
Track port congestion, seasonal routing patterns, and expedition footprints in polar regions.
Train machine learning models on luxury travel routes, port sequencing, and thematic expedition design.
"Ponant's catalogue represents the pinnacle of expedition cruising, but extracting their dynamic pricing and complex itineraries requires specialized infrastructure."
Most teams underestimate the investment required: reliable cruise scraping requires session management, full JavaScript rendering for booking grids, daily selector maintenance, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our ponant.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 global 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 ponant.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Ponant 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 Ponant's ToS and consult legal counsel for specific use cases.
We use full Playwright browser sessions to interact with the booking engine, select dates, and render the dynamic pricing grids. This ensures we capture accurate, session-valid pricing for every cabin category.
Yes. We extract all available technical specifications, deck plans, cabin dimensions, and high-resolution imagery for the entire Ponant fleet.
We can configure pipelines to run daily or multiple times a day depending on your requirements, ensuring you have the latest availability statuses and price adjustments.
Yes. By routing requests through regional proxies and interacting with the correct localized domains, we can extract pricing in EUR, USD, AUD, GBP, and other supported currencies.
Our packages start at a defined set of itineraries or ships with weekly delivery. For full catalogue tracking with daily updates, we price based on volume and compute requirements.
Absolutely. We provide a sample run of up to 20 itineraries as part of the pre-engagement scoping process, allowing you to validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off extraction of ship specifications or a continuous feed of luxury cruise pricing, we scope, build, and operate the pipeline. Tell us what you need.
