We extract boutique hotel listings, dining menus, availability calendars, and pricing signals from Relais & Châteaux. 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 Property Listings objects from relaisandchateaux.com. All fields typed and schema-versioned.
"property_id": "RC-8492", "name": "Awasi Patagonia", "property_type": "Hotel", "country": "Chile", "region": "Torres del Paine", "total_rooms": 14, "member_since": 2015, "latitude": -51.2533
| # | property_id | name | property_type | country | region | description |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Room & Pricing objects from relaisandchateaux.com. All fields typed and schema-versioned.
"property_id": "RC-8492", "room_name": "Master Villa", "size_sqm": 140, "max_occupancy": 2, "base_price": 2400.0, "currency": "USD", "availability_status": "available", "date": "2026-11-14"
| # | property_id | room_name | room_type | size_sqm | max_occupancy | bed_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Dining & Restaurants objects from relaisandchateaux.com. All fields typed and schema-versioned.
"restaurant_name": "The French Laundry", "property_id": "RC-1043", "chef_name": "Thomas Keller", "michelin_stars": 3, "cuisine_type": "French Contemporary", "dress_code": "Jacket Required", "average_price": 395.0, "signature_dish": "Oysters and Pearls"
| # | restaurant_name | property_id | chef_name | michelin_stars | cuisine_type | dress_code |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Experiences & Spa objects from relaisandchateaux.com. All fields typed and schema-versioned.
"property_id": "RC-8492", "experience_name": "Puma Tracking Expedition", "category": "Wildlife", "duration_minutes": 360, "price": 0.0, "currency": "USD", "booking_required": true, "min_guests": 1
| # | property_id | experience_name | category | duration_minutes | price | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Reviews & Ratings objects from relaisandchateaux.com. All fields typed and schema-versioned.
"review_id": "REV-99381", "property_id": "RC-8492", "rating": 5.0, "stay_date": "2025-12-04", "review_text": "Exceptional private guide and incredible culinary program.", "language": "en", "traveler_type": "Couples"
| # | review_id | property_id | author | rating | stay_date | review_text |
|---|---|---|---|---|---|---|
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Our Relais & Châteaux scraper parses boutique property listings, dynamic booking calendars, and fine dining menus. Built to handle complex calendar widgets, multi-language routing, and JavaScript-heavy media galleries.
Capture hotel names, descriptions, total room counts, member joining dates, and exact geolocation coordinates for all global properties.
Traverse dynamic booking widgets to extract room availability, minimum stay requirements, and blackout dates across multiple months.
Extract base rates, taxes, package inclusions, and currency details per room type, timestamped per crawl for accurate historical analysis.
Extract restaurant names, Michelin star counts, Head Chef profiles, opening hours, dress codes, and signature dishes.
Catalogue wellness treatments, guided excursions, and culinary classes, including duration, pricing, and booking requirements.
Extract property descriptions and menus across English, French, Spanish, and German locales based on regional URL routing.
Scrape URLs for primary property images, room galleries, and dining photography for downstream content aggregation.
Extract member ratings, review text, stay dates, and management responses to monitor property sentiment and service quality.
Run pipelines daily or weekly. We maintain a hash index of previous runs and only deliver records where pricing or availability has changed.
Brief in. Clean data out.
Select target countries, specific properties, or data types (hotels vs restaurants). We define the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and calendar widget traversal logic for relaisandchateaux.com.
Schema validation, null-rate checks, and price-outlier detection run automatically before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Scraping luxury hospitality sites requires handling complex calendar widgets and dynamic pricing APIs. Here is how we maintain pipeline stability.
Availability calendars and pricing tables on Relais & Châteaux are heavily JavaScript-rendered. We run full Playwright browser sessions with JavaScript execution to interact with date pickers and hydrate pricing data.
Hospitality booking engines use rate limiting to block automated inventory checks. Our crawlers use residential ISP proxies with realistic browser fingerprints and randomised request timing to prevent IP bans.
Boutique hotel pages often have unique layouts or custom promotional banners that break standard DOM paths. We use fallback chains and text-pattern matching to ensure data is captured regardless of page variations.
Properties list prices in local currencies. We extract both the raw local currency value and the ISO currency code, ensuring your downstream analytics team can normalise pricing accurately.
For tracking daily availability across 580+ properties, we maintain a hash index of last-seen values. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Luxury hotel groups monitor pricing strategies, seasonal rate adjustments, and minimum stay requirements against Relais & Châteaux properties.
Bespoke travel agencies and concierge services ingest property details and amenities to build custom itineraries for high-net-worth clients.
Food and beverage consultants track Michelin-starred menus, ingredient trends, and pricing across top-tier global restaurants.
Hospitality investment firms correlate room rates, occupancy signals, and location data to assess boutique hotel valuations.
Analysts track the expansion of luxury properties in emerging markets and shifts in wellness or experiential travel offerings.
Brand managers aggregate guest reviews to benchmark service quality and identify operational weaknesses in competing luxury portfolios.
"Relais & Châteaux represents the pinnacle of boutique hospitality. Tracking their pricing and availability yields high-signal data for the luxury travel market."
Scraping boutique booking engines requires navigating complex calendar widgets, multi-language routing, and aggressive rate limiting. DataFlirt manages proxy rotation, session state, and schema maintenance so your analysts can focus on luxury market trends, not infrastructure.
Everything supported by our relaisandchateaux.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 for booking calendars.
We maintain pools of residential ISP proxies across global regions. Rotation happens per-request with sticky sessions where required to maintain state during calendar queries.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About relaisandchateaux.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from hotel directories is generally permissible under applicable law. DataFlirt targets only public, non-authenticated property, pricing, and menu data. We do not extract personal guest data or circumvent authentication walls.
We use residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. This prevents IP bans and ensures consistent access to pricing calendars.
We can configure pipelines to run daily or weekly depending on your requirements. For the full catalogue of ~580 properties, daily refreshes complete within a 2-4 hour window.
This specific pipeline targets the centralised relaisandchateaux.com directory and its internal booking engine. If you require extraction from custom standalone property websites, we can scope a custom pipeline.
Yes. Our Playwright scripts interact with the calendar widgets to traverse future months, extracting availability status and rates for dates up to a year in advance.
Our minimum engagement covers the full 580+ property catalogue with weekly delivery. For custom schema requirements or higher frequency runs, we price based on compute volume.
Yes. We provide a sample run of up to 20 properties, including room rates and dining menus, so you can validate schema fit and data quality before signing any contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off property catalogue dump or a continuous price-monitoring feed across luxury hotels — we scope, build, and operate the pipeline. Tell us what you need.
