We extract dynamic pricing, room availability calendars, resort amenities, and special offers from Sandals. 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 Profiles objects from sandals.com. All fields typed and schema-versioned.
"resort_id": "SGO", "name": "Sandals Grande Antigua", "island": "Antigua", "rating": 4.5, "total_rooms": 373, "total_restaurants": 11, "total_bars": 7, "distance_from_airport": "15 minutes"
| # | resort_id | name | location | island | rating | total_rooms |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Room Categories objects from sandals.com. All fields typed and schema-versioned.
"room_code": "RJ", "resort_id": "SGO", "room_name": "Caribbean Honeymoon Romeo and Juliet Sanctuary Pool", "tier": "Butler", "view": "Pool/Tropical Garden", "max_occupancy": 2, "bed_type": "King", "butler_service": true
| # | room_code | resort_id | room_name | tier | view | max_occupancy |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Availability objects from sandals.com. All fields typed and schema-versioned.
"resort_id": "SGO", "room_code": "RJ", "check_in": "2026-11-10", "check_out": "2026-11-17", "base_rate": 1250.0, "discounted_rate": 812.5, "availability_status": "Available", "timestamp": "2026-05-12T10:15:00Z"
| # | resort_id | room_code | check_in | check_out | adults | base_rate |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Dining & Restaurants objects from sandals.com. All fields typed and schema-versioned.
"restaurant_id": "SGO_ELEANORS", "resort_id": "SGO", "name": "Eleanor's", "cuisine": "Caribbean", "dress_code": "Resort Evening Attire", "reservation_required": true, "meal_times": "Dinner"
| # | restaurant_id | resort_id | name | cuisine | dress_code | reservation_required |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Special Offers objects from sandals.com. All fields typed and schema-versioned.
"offer_id": "777_PROMO", "title": "7-7-7 Savings", "discount_pct": 7, "free_nights": 0, "booking_window_end": "2026-05-19", "travel_window_start": "2026-06-01", "travel_window_end": "2026-12-31"
| # | offer_id | title | discount_pct | free_nights | booking_window_start | booking_window_end |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Sandals scraper handles complex booking flows, session state management, and dynamic rate calendars to deliver clean pricing intelligence.
Extract comprehensive details for all Sandals and Beaches properties, including room tiers (Luxury, Club, Butler) and specific amenities.
Capture pricing across multiple check in dates and lengths of stay. We iterate through availability calendars to build full rate matrices.
Track active promotions, limited time 7-7-7 offers, and last minute travel deals with their associated booking windows.
Extract bundled pricing inclusive of flights from major origin airports, separating airfare costs from room rates.
Scrape restaurant details, menus, dress codes, and reservation requirements across all properties.
Capture Island Routes excursion catalogues, spa packages, and private transfer options available at each resort.
Run continuous pipelines that only emit records when room availability or pricing changes, reducing downstream processing.
We handle the complex state requirements of the Sandals booking engine, maintaining valid sessions across multi step searches.
Extract rates targeted at different source markets (US, UK, Canada) using region specific proxy pools.
Brief in. Clean data out.
Provide target resorts, date ranges, length of stay parameters, and source markets. We configure the extraction matrix.
We configure Playwright crawlers, manage booking engine sessions, and bypass rate limits using residential proxies.
Schema validation, null rate checks, and price anomaly detection before full pipeline launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or via Webhook on your defined schedule.
Extracting data from Sandals requires navigating strict bot protection and complex single page application state. Here is how we manage it.
The Sandals booking engine requires maintaining complex session state across multiple XHR requests. We manage cookies, tokens, and payload sequencing to successfully query rates without dropping the session.
Travel sites employ aggressive WAF rules to block automated rate scraping. We use residential proxies and realistic request timing to avoid IP bans and CAPTCHA walls.
Rate calendars and availability matrices are rendered client side. We use full browser automation to execute JavaScript and capture the hydrated DOM state.
Querying every combination of dates and resorts is computationally expensive. We optimise search patterns to extract maximum pricing data with minimal requests.
Sandals uses complex room codes (e.g., OWS, RJ). We map these codes to standardised tiers and descriptions for easy integration into your database.
Travel agencies and competing resorts monitor Sandals pricing to adjust their own promotional strategies and maintain parity.
Revenue managers analyse availability drops across specific dates to gauge macro demand for Caribbean travel.
AI platforms ingest room details, amenities, and pricing to provide accurate, conversational booking recommendations.
Analysts track the introduction of new room tiers and pricing strategies across the all inclusive sector.
Online travel agencies compare direct booking rates against their negotiated net rates to optimise display margins.
Tour operators combine extracted hotel rates with their own flight inventory to create competitive packages.
"The Caribbean all inclusive market is highly dynamic. Without automated rate extraction, tracking Sandals pricing across booking windows is impossible."
Extracting travel availability data requires maintaining complex booking engine sessions and bypassing strict anti bot measures. DataFlirt manages the proxy rotation, session state, and payload reverse engineering so your team receives clean, normalised pricing feeds.
Everything supported by our sandals.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.
Playwright handles complex booking engine state, cookies, and tokens. Scrapy manages concurrency, retries, and data normalisation.
We utilise residential proxies specific to your target market (US, UK, CA) to ensure you receive the correct regional pricing.
Pipelines run on Kubernetes clusters with Airflow scheduling, allowing us to scale concurrency based on the size of your date matrix.
Data delivered to where your team already works — no new tooling required.
About sandals.com scraping, legality, and pipeline operations.
Ask us directly →Yes. You define the matrix of check in dates and durations. We iterate through the booking engine to extract the specific rates for those parameters.
Yes. Sandals displays different rates based on the user location. We use geo targeted residential proxies to extract rates for the US, UK, or Canadian markets as required.
We extract both the internal room code (e.g., OWS) and the full descriptive text, tier (Butler, Club, Luxury), and amenities to ensure the data is easily understandable.
Yes. We monitor the special offers pages and extract the specific terms, discount percentages, and eligible dates for 7-7-7 and other promotions.
We support daily, hourly, or custom cadences. High frequency updates are typically restricted to a smaller set of highly contested dates or resorts to manage compute costs.
Yes. The Beaches family resorts use the same underlying booking engine architecture, and our pipelines fully support extracting data from those properties.
20-minute scoping call. Pilot dataset within the week. Production within two. Stop manually checking availability calendars. We build and maintain the pipeline to deliver structured pricing data directly to your warehouse.
