We extract room rates, suite availability, Marriott Bonvoy point valuations, and property metadata from St. Regis. 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 Details objects from stregis.com. All fields typed and schema-versioned.
"property_id": "NYCXS", "name": "The St. Regis New York", "city": "New York", "country": "USA", "star_rating": 5, "total_rooms": 238, "total_suites": 47
| # | property_id | name | brand | address | city | country |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Room & Suite Types objects from stregis.com. All fields typed and schema-versioned.
"room_id": "SUI-1", "name": "Astor Suite", "category": "Suite", "max_occupancy": 3, "bed_type": "King", "square_footage": 600, "accessible": false
| # | room_id | property_id | name | category | max_occupancy | bed_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Daily Rates objects from stregis.com. All fields typed and schema-versioned.
"property_id": "NYCXS", "room_id": "SUI-1", "check_in_date": "2026-11-15", "base_price": 1250.0, "currency": "USD", "bonvoy_points": 85000, "available": true
| # | property_id | room_id | check_in_date | check_out_date | rate_plan | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Dining & Spa objects from stregis.com. All fields typed and schema-versioned.
"property_id": "NYCXS", "venue_id": "DIN-1", "name": "Astor Court", "type": "Restaurant", "cuisine": "American", "reservation_required": true, "dress_code": "Smart Casual"
| # | property_id | venue_id | name | type | cuisine | operating_hours |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Policies & Fees objects from stregis.com. All fields typed and schema-versioned.
"property_id": "NYCXS", "policy_type": "Pets", "pet_allowed": true, "pet_fee": 150.0, "currency": "USD", "parking_type": "Valet", "parking_fee": 85.0
| # | property_id | policy_type | description | fee_amount | currency | pet_allowed |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our St. Regis scraper handles the Marriott digital ecosystem: dynamic pricing APIs, suite inventory, Bonvoy point valuations, and property metadata, bypassing Akamai bot mitigation.
Extract core hotel details, coordinate locations, total room counts, and contact information across the global St. Regis portfolio.
Map all room types, bed configurations, square footage, accessibility features, and included amenities per property.
Capture base rates, total rates including taxes and resort fees, and advance purchase discounts across specified stay lengths.
Extract point redemption values for standard rooms and suite upgrades alongside cash rates to calculate point valuations.
Monitor sold-out dates, minimum length of stay restrictions, and remaining suite inventory signals.
Parse penalty windows, non-refundable flags, and deposit requirements tied to specific rate plans.
Index on-site restaurants, spa facilities, operating hours, dress codes, and reservation requirements.
Route requests through specific regional proxies to detect point-of-sale pricing discrepancies.
Run daily or hourly availability checks to feed revenue management and rate parity systems.
Brief in. Clean data out.
Provide property IDs, target dates, length of stay parameters, and required data points. We design the extraction schema.
We configure GraphQL interceptors, Akamai bypass mechanisms, and residential proxy rotation for the Marriott network.
Schema validation, null-rate checks, price-outlier detection, and currency normalisation before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Marriott protects its inventory with enterprise-grade bot mitigation. Here is how we maintain reliable data flow.
Marriott relies on Akamai Bot Manager. Our infrastructure generates valid sensor telemetry, handles challenge-response sequences, and maintains valid session tokens to ensure uninterrupted API access.
Rather than parsing HTML, we intercept the underlying GraphQL queries powering the St. Regis booking engine. This yields cleaner data, faster execution, and exact tax breakdowns.
Hotel rates frequently vary based on the user's IP location. We route requests through residential proxies matching your target point-of-sale to capture accurate regional pricing.
Aggressive polling triggers IP bans. We distribute requests across thousands of residential nodes and pace queries to mimic organic user search patterns.
Marriott updates its API structures frequently. Our observability stack detects schema drift and null-rate anomalies, alerting our engineers to patch selectors before data drops occur.
Luxury hotel operators monitor St. Regis rates and suite availability to optimise their own pricing strategies and yield management.
Brands track direct booking rates against OTA pricing to identify parity violations and unauthorised margin compression.
Travel analysts map Marriott Bonvoy point requirements against cash rates to calculate dynamic redemption values.
Real estate investment trusts track forward-looking occupancy signals and average daily rates across luxury portfolios.
Procurement teams audit negotiated corporate rates against public advance purchase rates to ensure contract compliance.
Hospitality consultants analyse amenity offerings, dining concepts, and fee structures across the ultra-luxury segment.
"St. Regis inventory represents the pinnacle of luxury hospitality, but tracking dynamic rates across global markets requires penetrating enterprise-grade anti-bot perimeters."
Most teams underestimate the investment required: reliable Marriott ecosystem scraping requires residential proxies, Akamai sensor spoofing, daily token maintenance, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on yield analysis, not the infrastructure.
Everything supported by our stregis.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.
We bypass brittle DOM parsing by intercepting Marriott's GraphQL endpoints, ensuring stable, high-fidelity rate data including exact tax breakdowns.
Our network handles Akamai Bot Manager challenges natively, maintaining valid session tokens across distributed residential IP pools to prevent rate limiting.
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 stregis.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing and property information is generally permissible under applicable law in India, the US, and the UK. DataFlirt targets only public, non-authenticated rate data. We do not extract personal data or circumvent authentication walls.
We use ISP-grade residential proxies combined with custom Akamai sensor spoofing. Our infrastructure generates valid telemetry and handles challenge-response sequences to maintain stable API access.
Yes. We extract both cash rates and the corresponding Marriott Bonvoy point redemption requirements for available room types.
Yes. Our extraction includes the base rate, applicable local taxes, and mandatory resort or destination fees for an accurate total cost calculation.
We support daily, hourly, or custom scheduled runs depending on your target property list and date range parameters.
We build forward-looking datasets from the day your pipeline is commissioned. We do not maintain a retroactive database of historical St. Regis rates.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off property catalogue dump or continuous rate monitoring across the luxury portfolio, we scope, build, and operate the pipeline. Tell us what you need.
