We extract flash sale listings, dynamic pricing, room availability, and package inclusions from Secret Escapes. 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 Flash Sales objects from secretescapes.com. All fields typed and schema-versioned.
"sale_id": "SE-98231", "title": "5-Star Maldives Overwater Villa", "destination": "Maldives", "discount_pct": 45, "end_time": "2026-08-15T23:59:59Z", "lead_price": 349.0, "currency": "GBP", "sale_type": "hotel_only"
| # | sale_id | title | destination | discount_pct | end_time | lead_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Hotel Details objects from secretescapes.com. All fields typed and schema-versioned.
"hotel_name": "Soneva Jani", "star_rating": 5, "location": "Noonu Atoll", "amenities": "['Private Pool', 'Spa', 'Overwater Observatory', 'Butler']", "tripadvisor_rating": 5.0, "latitude": 5.7772, "longitude": 73.3361
| # | hotel_name | star_rating | location | description | amenities | gallery_urls |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Room & Rates objects from secretescapes.com. All fields typed and schema-versioned.
"room_type": "Water Retreat", "board_basis": "Half Board", "price_per_night": 850.0, "original_price": 1550.0, "availability_status": "available", "max_occupancy": 2, "cancellation_policy": "non_refundable", "inclusions": "['Breakfast', 'Dinner', 'Seaplane Transfer']"
| # | room_type | board_basis | price_per_night | original_price | availability_status | max_occupancy |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Package Perks objects from secretescapes.com. All fields typed and schema-versioned.
"package_id": "PKG-4421", "hotel_id": "HTL-992", "flights_included": false, "transfers_included": true, "dining_perks": "Daily 3-course dinner", "spa_access": "60-minute massage per person", "welcome_drink": true, "late_checkout": "14:00"
| # | package_id | hotel_id | flights_included | transfers_included | dining_perks | spa_access |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Dates & Availability objects from secretescapes.com. All fields typed and schema-versioned.
"date": "2026-09-10", "sale_id": "SE-98231", "available": true, "price": 349.0, "minimum_stay": 3, "surcharge": 50.0, "blackout_date": false, "season_tier": "shoulder"
| # | date | sale_id | available | price | minimum_stay | surcharge |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Secret Escapes scraper extracts flash sale inventory, dynamic pricing grids, and package inclusions with high-frequency polling to capture perishable inventory before sales expire.
Title, star rating, location coordinates, amenities, and gallery images extracted per property.
Capture base rates, discounted rates, and mandatory surcharges across all available dates in the calendar.
Monitor flash sale countdown timers and inventory depletion rates to gauge demand.
Extract structured lists of perks: spa treatments, dining credits, room upgrades, and late checkouts.
Parse complex package deals including departure airports, airlines, and transfer details.
Map properties to Secret Escapes' internal region and category hierarchies.
Extract pricing in GBP, EUR, USD, and other supported currencies based on locale.
Scrape day-by-day availability status, minimum stay requirements, and blackout dates.
Configure continuous pipelines to detect new flash sales the minute they go live.
Brief in. Clean data out.
Provide target regions, sale categories, or specific properties. We design the extraction schema together.
We configure Playwright crawlers, session management, and proxy rotation for secretescapes.com.
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.
Secret Escapes uses stateful sessions, dynamic pricing calendars, and regional gating. Here is how we maintain stable extraction.
Secret Escapes gates pricing behind a login wall. We integrate securely with client-provided session cookies to extract member-only rates without triggering account lockouts.
Pricing calendars and availability grids are heavily JavaScript-rendered. We run full Playwright browser sessions to hydrate dynamic content before extraction.
Flash sales expire rapidly. Our infrastructure supports high-frequency polling to capture transient pricing and availability signals before inventory disappears.
Rates and availability vary by user location. We route requests through region-specific residential proxies to capture accurate local pricing.
We use multiple fallback chains per field to ensure layout changes do not break your data pipeline overnight.
Boutique hotels and OTAs monitor flash sale discounts to adjust their own promotional pricing strategies.
Analysts track destination popularity, discount depths, and sale frequency to identify travel trends.
Revenue managers correlate Secret Escapes discounting patterns with market demand to optimise room rates.
Travel aggregators ingest structured sale data to enrich their own metasearch platforms.
PE firms track inventory volume and discount velocity to evaluate hospitality market health.
ML teams use historical pricing and package inclusion data to train dynamic pricing models.
"Secret Escapes holds the pulse of luxury travel discounting, but extracting transient flash sales requires continuous, stateful monitoring."
Flash sales expire rapidly and pricing varies by date and user tier. DataFlirt manages the complex session handling, JavaScript rendering, and high-frequency polling required to capture this perishable inventory before it disappears.
Everything supported by our secretescapes.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 deduplication. Playwright handles JavaScript rendering and session flows.
Encrypted storage and rotation of client-provided session cookies for accessing gated member rates.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About secretescapes.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible. For gated member-only rates, clients must provide their own authenticated sessions and ensure compliance with Secret Escapes' Terms of Service. DataFlirt acts solely as the infrastructure provider.
We securely ingest client-provided session cookies or credentials. Our pipeline manages session refresh cycles and rate limits to prevent account flags.
Yes. We configure high-frequency polling pipelines that monitor the 'Upcoming Sales' and 'Current Sales' feeds to capture inventory as soon as it goes live.
Our Playwright instances interact with the calendar widgets, iterating through available months to extract day-by-day pricing, surcharges, and minimum stay rules.
We route requests through geo-targeted residential proxies to extract accurate pricing and availability for the UK, US, Germany, and other specific locales.
Our managed pipelines start with a defined set of target regions or sale categories. Contact us with your specific data requirements for a scoped quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off destination export or continuous flash sale monitoring - we scope, build, and operate the pipeline. Tell us what you need.
