We extract resort details, dynamic package pricing, room availability, and inclusions from Club Med. 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 Resort Details objects from clubmed.com. All fields typed and schema-versioned.
"resort_id": "VALC", "name": "Val d'Isere", "trident_rating": 5, "destination": "French Alps", "country": "France", "kids_club": true
| # | resort_id | name | trident_rating | destination | country | description |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Packages objects from clubmed.com. All fields typed and schema-versioned.
"resort_id": "VALC", "check_in": "2026-01-10", "check_out": "2026-01-17", "adults": 2, "total_price": 4250.0, "currency": "EUR"
| # | resort_id | check_in | check_out | adults | kids | departure_airport |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Room Types objects from clubmed.com. All fields typed and schema-versioned.
"room_id": "RM-DELUXE-01", "room_category": "Deluxe", "name": "Deluxe Room - Village View", "capacity": 2, "size_sqm": 32, "view_type": "Village"
| # | room_id | resort_id | room_category | name | capacity | size_sqm |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Activities & Sports objects from clubmed.com. All fields typed and schema-versioned.
"activity_id": "ACT-SKI-01", "category": "Winter Sports", "name": "Alpine Skiing Lessons", "included": true, "minimum_age": 4, "equipment_provided": false
| # | activity_id | resort_id | category | name | included | minimum_age |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Availability objects from clubmed.com. All fields typed and schema-versioned.
"resort_id": "VALC", "date": "2026-01-10", "room_category": "Superior", "available_rooms": 5, "status": "AVAILABLE", "last_updated": "2026-05-12T09:14:00Z"
| # | resort_id | date | room_category | available_rooms | min_stay_nights | price_per_night |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Club Med scraper handles the booking engine complexities: dynamic date searches, occupancy variations, regional pricing, and heavy JavaScript rendering — with anti-bot circumvention built in.
Extract core resort details, Trident ratings, amenities, and high-resolution image URLs across all global destinations.
Capture package pricing based on exact check-in dates, length of stay, and occupancy configurations.
Track inventory levels for specific room categories, identifying sold-out dates and minimum stay requirements.
Extract Club Med's proprietary Trident ratings and aggregated customer feedback scores.
Map included versus on-demand activities, ski pass inclusions, and equipment rental details per resort.
Capture pricing variations across different regional Club Med domains (e.g., .co.uk vs .us vs .fr).
Track package prices including flights by iterating through different origin airports.
Extract age-specific Kids Club availability, pricing, and operational hours.
Run daily availability sweeps or continuous pricing monitors for specific high-demand dates.
Brief in. Clean data out.
Provide target resorts, date ranges, occupancy rules, and departure airports. We design the extraction schema together.
We configure Playwright crawlers, proxy rotation, and session management for the Club Med booking engine.
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 booking engines invest heavily in rate-limiting and session tracking. Here's how we stay resilient.
Travel sites monitor request velocity and IP reputation. Our crawlers use residential ISP proxies with realistic browser fingerprints and full cookie session management.
The Club Med search interface is heavily JavaScript-rendered. We run full Playwright browser sessions to interact with date pickers and occupancy selectors.
Extracting final package prices requires navigating a multi-step funnel. We maintain cookie jars and session tokens across requests to reach the final quote.
For large date ranges, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes and price outliers, responding before you notice.
Other all-inclusive operators monitor Club Med pricing to adjust their own seasonal rates and promotional offers.
Analysts track resort availability patterns to understand macro travel demand for ski and sun destinations.
OTAs and meta-search engines integrate Club Med package data into wider travel comparison platforms.
Revenue managers correlate Club Med sell-out dates with broader market capacity to optimise their own inventory pricing.
ML teams use structured resort and amenity descriptions to train travel recommendation engines.
PE firms track resort expansion, pricing power, and occupancy indicators to evaluate the hospitality sector.
"Club Med's dynamic pricing engine holds critical market signals for the all-inclusive sector — but it requires complex session management to extract at scale."
Most teams underestimate the investment required: reliable Club Med scraping requires residential proxies, full JavaScript rendering for the booking flow, CAPTCHA handling, 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 clubmed.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 and retry logic. Playwright handles JavaScript rendering and interaction flows for the booking engine.
We maintain pools of residential ISP proxies. Rotation happens per-request with sticky sessions required for multi-step pricing funnels.
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 clubmed.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing and availability information is generally permissible under applicable law. DataFlirt targets only public, non-authenticated resort and pricing data. We do not extract personal data or circumvent authentication walls.
We use residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and precise session cookie management to navigate the booking flow without triggering blocks.
Yes. We configure pipelines to iterate through specific origin airports to capture the full package price including flights.
Pipelines can be configured to run daily sweeps across entire seasons, or hourly checks for highly specific dates and resorts.
Yes. Every pipeline run produces timestamped snapshots. We maintain a time-series record for pricing and availability from the date your pipeline starts.
Our smallest packages start at a defined set of resorts and date ranges with weekly delivery. We price based on search volume and delivery frequency.
Absolutely. We provide a sample run for specific resorts and dates as part of the pre-engagement scoping process 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 resort catalogue dump or continuous price-monitoring across all ski seasons — we scope, build, and operate the pipeline. Tell us what you need.
