We extract villa listings, dynamic pricing, availability calendars, host intelligence, and reviews from Clickstay. 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 clickstay.com. All fields typed and schema-versioned.
"property_id": "74892", "title": "Luxury Villa with Private Pool", "property_type": "Villa", "location": "Marbella, Andalucia", "country": "Spain", "bedrooms": 4, "bathrooms": 3, "max_guests": 8, "rating": 4.8, "review_count": 42
| # | property_id | title | property_type | location | country | bedrooms |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Availability objects from clickstay.com. All fields typed and schema-versioned.
"property_id": "74892", "check_in_date": "2026-08-10", "check_out_date": "2026-08-17", "base_price": 1250.0, "currency": "GBP", "min_stay_nights": 7, "available": true, "total_price": 1350.0
| # | property_id | check_in_date | check_out_date | base_price | currency | cleaning_fee |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Amenities & Features objects from clickstay.com. All fields typed and schema-versioned.
"property_id": "74892", "pool_type": "Private Outdoor", "air_conditioning": true, "parking": "Private Driveway", "pet_friendly": false, "distance_to_beach": "2 km", "distance_to_airport": "45 km"
| # | property_id | pool_type | wifi_speed | air_conditioning | parking | kitchen_appliances |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Host Profiles objects from clickstay.com. All fields typed and schema-versioned.
"host_id": "H-9921", "host_name": "Maria Costa", "join_date": "2018-04", "response_rate": "98%", "response_time": "within an hour", "total_properties": 5, "verified_status": true
| # | host_id | host_name | host_url | join_date | response_rate | response_time |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Guest Reviews objects from clickstay.com. All fields typed and schema-versioned.
"review_id": "R-88412", "property_id": "74892", "guest_name": "John Smith", "review_date": "2025-09-15", "rating_overall": 5, "review_text": "Absolutely stunning villa. The pool was perfect.", "recommended": true
| # | review_id | property_id | guest_name | review_date | stay_date | rating_overall |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Clickstay scraper handles every layer of the platform: property listings, dynamic pricing, availability calendars, host intelligence, and the review corpus. JavaScript rendering, session management, and anti-bot circumvention are built in.
Extract metadata for villas, apartments, and cottages across Clickstay.
Capture base rates, cleaning fees, security deposits, and seasonal price adjustments.
Scrape forward-looking availability to model supply and occupancy rates.
Track host portfolios, response metrics, and verification statuses.
Parse structured and unstructured amenity lists including pool types, AC, and Wi-Fi.
Extract latitude, longitude, and proximity to POIs like beaches and airports.
Paginate through all historical reviews to capture sentiment and granular ratings.
Extract CDN links for property photos and floor plans.
Handle IP rate limits and browser fingerprinting automatically.
Track price changes and calendar updates without re-scraping static descriptions.
Brief in. Clean data out.
Provide target destinations, property types, or specific URLs. We design the schema.
We configure Scrapy / Playwright crawlers, proxy rotation, and session handling.
Schema validation, null-rate checks, and price-outlier detection before launch.
JSON / CSV / Parquet pushed to your S3 bucket or warehouse on agreed cadence.
Travel aggregators invest heavily in scraping detection. Here is how we stay resilient, and why teams choose managed infrastructure over DIY.
Clickstay renders availability calendars via asynchronous API calls. We intercept these XHR requests to extract structured date arrays rather than parsing HTML.
Travel sites aggressively rate-limit IP subnets. We distribute requests across a global pool of residential proxies, rotating IPs before triggering CAPTCHAs.
Seasonal pricing and dynamic fees require specific date-range queries. Our crawlers simulate user searches to extract accurate final quotes.
Search results often cap at a fixed number of pages. We segment broad destination searches by micro-geographies and property types to extract the full inventory.
DOM structures for property pages change without notice. We use multi-layer fallback selectors to maintain pipeline stability.
Compare villa rental rates across regions to optimise your own property pricing strategies.
Track availability calendars to estimate seasonal demand and occupancy rates for specific destinations.
Identify high-yield rental markets by correlating property prices, booking density, and guest reviews.
Monitor host portfolios and property acquisition trends among competing property management agencies.
Process review text to identify common guest complaints or highly valued amenities in specific regions.
Enrich your meta-search travel platform with Clickstay inventory, pricing, and availability data.
"Clickstay holds critical intelligence on the European villa rental market. Extracting accurate, date-specific pricing and availability requires complex session simulation."
Most teams underestimate the difficulty of scraping travel inventory. Reliable Clickstay extraction requires handling dynamic calendar rendering, simulating date-specific searches for accurate pricing, and managing residential proxies to avoid rate limits. DataFlirt absorbs this complexity so your engineers can focus on modelling occupancy and yield.
Everything supported by our clickstay.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.
We maintain pools of residential ISP proxies across EU regions. Rotation happens per-request with sticky sessions where required.
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 clickstay.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available property data is generally permissible. DataFlirt targets only public, non-authenticated listings, prices, and reviews. We do not extract personal data or circumvent authentication walls.
We intercept XHR responses from Clickstay's backend API to extract structured availability arrays, ensuring accurate forward-looking data without error-prone HTML parsing.
Yes. We configure daily pipelines to simulate specific date-range searches, capturing total prices, cleaning fees, and seasonal adjustments.
We extract only publicly listed host information, such as host names, response metrics, and portfolio links. Private contact details are not collected.
Pipelines run on your schedule. Real-time streaming pipelines achieve low latency for specific property sets, while full catalogue refreshes typically run daily.
Yes. We provide a sample run of up to 100 properties as part of the scoping process so you can validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off export of Spanish villas or a continuous pricing feed across Europe, we scope, build, and operate the pipeline. Tell us what you need.
