We extract property listings, dynamic room pricing, availability calendars, and Marriott Bonvoy reward rates from westin.com. 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 Info objects from westin.com. All fields typed and schema-versioned.
"property_id": "BOMWI", "name": "The Westin Mumbai Garden City", "brand": "Westin", "city": "Mumbai", "country": "India", "star_rating": 5, "pet_friendly": false
| # | property_id | name | brand | address | city | country |
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Complete list of extractable fields for Room Rates & Availability objects from westin.com. All fields typed and schema-versioned.
"property_id": "BOMWI", "room_name": "Deluxe Guest room, 1 King", "date": "2024-11-15", "available": true, "base_rate": 14500.0, "currency": "INR", "bonvoy_points_required": 21000
| # | property_id | room_type_id | room_name | date | available | base_rate |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Room Details & Amenities objects from westin.com. All fields typed and schema-versioned.
"room_type_id": "DLX_K", "name": "Deluxe Guest room, 1 King", "max_occupancy": 3, "bed_type": "King", "heavenly_bed": true, "square_footage": 430, "view_type": "City View"
| # | room_type_id | property_id | name | description | max_occupancy | bed_type |
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Complete list of extractable fields for Property Amenities & Dining objects from westin.com. All fields typed and schema-versioned.
"property_id": "BOMWI", "amenity_category": "Fitness", "amenity_name": "WestinWORKOUT Fitness Studio", "operating_hours": "24/7", "cost": 0, "westin_workout": true, "reservation_required": false
| # | property_id | amenity_category | amenity_name | description | operating_hours | cost |
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Complete list of extractable fields for Reviews & Ratings objects from westin.com. All fields typed and schema-versioned.
"review_id": "REV-89123", "property_id": "BOMWI", "rating": 4.5, "stay_date": "2023-10-12", "traveler_type": "Business", "title": "Excellent stay, great sleep", "body": "The Heavenly Bed lives up to its name."
| # | review_id | property_id | author | rating | stay_date | traveler_type |
|---|---|---|---|---|---|---|
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Our hotel scraper handles every layer of the Marriott platform: property listings, dynamic pricing, 365-day availability calendars, and the amenity corpus - with JavaScript rendering, session management, and anti-bot circumvention built in.
Extract coordinates, contact details, and core metadata for every Westin and Marriott Bonvoy property worldwide.
Capture base rates, taxes, resort fees, and total nightly costs across different dates and occupancy levels.
Monitor room inventory and sold-out statuses across a 365-day forward-looking calendar window.
Extract reward redemption rates, point requirements, and member-exclusive pricing tiers.
Parse suite configurations, square footage, bed types, and specific inclusions like the Heavenly Bed.
Catalogue WestinWORKOUT facilities, Heavenly Spa services, and Eat Well menu availability per property.
Extract granular penalty windows, non-refundable tags, and deposit requirements for every rate plan.
Scrape guest ratings, text reviews, traveler types, and management responses from property pages.
Localise pricing data using specific currency parameters and regional site configurations.
Run one-off bulk exports or configure continuous pipelines at hourly or daily cadences.
Brief in. Clean data out.
Provide target cities, property IDs, or date ranges. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for westin.com.
Schema validation, null-rate checks, and price-outlier detection before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Marriott invests heavily in scraping detection. Here is how we stay resilient and why teams choose managed infrastructure over DIY.
Marriott bot detection operates on TLS fingerprints and IP reputation. Our crawlers use residential ISP proxies with realistic browser fingerprints and full cookie session management.
Westin search interfaces and booking calendars are heavily JavaScript-rendered. We run full Playwright browser sessions with dynamic widget hydration.
Pricing endpoints require valid session tokens and search context cookies. We manage complete browser state to ensure rate queries return accurate data.
Marriott updates its booking engine frequently. Our selector strategy uses multiple fallback chains per field so a layout change does not break your data pipeline.
Extracting 365-day pricing calendars requires thousands of requests per property. We distribute load across regional IP pools to respect rate limits while meeting SLA.
Hotel chains and OTAs monitor Westin daily rates and promotional discounts to optimise their own revenue management models.
Revenue managers audit third-party booking sites against Westin direct channels to identify rate parity violations.
Real estate analysts track property density, amenity offerings, and pricing tiers to identify underserved markets.
Corporate travel platforms integrate direct pricing and availability feeds to bypass legacy GDS costs.
Points maximisation tools track Bonvoy redemption rates against cash prices to highlight high-value reward bookings.
Analysts correlate room availability drops with local events and flight data to predict regional travel demand.
"Hotel pricing is highly dynamic, shifting multiple times per day based on occupancy and demand. Stale data in hospitality is worse than no data at all."
Most teams underestimate the investment required: reliable hotel scraping requires residential proxies, full JavaScript rendering, date-math logic for calendar traversal, and complex session management to access pricing APIs. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our westin.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 the Marriott booking engine.
We maintain pools of residential ISP proxies. Rotation happens per-request with sticky sessions required for multi-step availability searches. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda (burst) and ECS (sustained). 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 westin.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from hotel websites is generally permissible under applicable law. DataFlirt targets only public, non-authenticated property, pricing, and availability data. We do not extract personal data or circumvent authentication walls.
We use residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. We monitor for blocks in real time and trigger pool rotation automatically.
Yes. We configure pipelines to traverse the 365-day booking calendar, extracting daily base rates, taxes, and availability for specified room types.
Yes. We extract both cash rates and the corresponding Bonvoy point redemption requirements for properties where reward bookings are available.
We can configure pipelines to run at sub-hourly intervals for high-priority markets, or daily for broader portfolio monitoring. Change detection ensures you only process updates.
Our smallest packages start at a defined property list (typically 50-500 properties) with daily pricing extraction. Contact us with your use case for a scoped quote.
Yes. The underlying booking engine is shared across the Marriott Bonvoy portfolio, allowing us to extract data for Sheraton, W Hotels, Ritz-Carlton, and other sister brands using the same pipeline architecture.
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 the Marriott portfolio - we scope, build, and operate the pipeline. Tell us what you need.
