We extract park details, accommodation types, dynamic pricing, and availability calendars from Haven. 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 Park Details objects from haven.com. All fields typed and schema-versioned.
"park_id": "PRK-042", "park_name": "Primrose Valley", "region": "Yorkshire", "county": "North Yorkshire", "postcode": "YO14 9RF", "rating": 4.2, "dog_friendly": true, "beach_access": true
| # | park_id | park_name | region | county | postcode | description |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Accommodation Types objects from haven.com. All fields typed and schema-versioned.
"accommodation_id": "ACC-891", "park_id": "PRK-042", "type": "Caravan", "grade": "Gold", "sleeps_capacity": 6, "bedrooms": 3, "dog_friendly": false, "wheelchair_accessible": false
| # | accommodation_id | park_id | type | grade | sleeps_capacity | bedrooms |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Availability objects from haven.com. All fields typed and schema-versioned.
"park_id": "PRK-042", "accommodation_id": "ACC-891", "check_in_date": "2026-07-14", "check_out_date": "2026-07-21", "nights": 7, "total_price": 849.0, "available": true, "scraped_at": "2026-05-12T10:15:00Z"
| # | search_id | park_id | accommodation_id | check_in_date | check_out_date | nights |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Activities & Entertainment objects from haven.com. All fields typed and schema-versioned.
"activity_id": "ACT-304", "park_id": "PRK-042", "activity_name": "High Ropes Course", "category": "Adrenaline", "price": 15.0, "duration_minutes": 60, "indoor_outdoor": "Outdoor", "booking_required": true
| # | activity_id | park_id | activity_name | category | age_restriction | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Dining & Facilities objects from haven.com. All fields typed and schema-versioned.
"facility_id": "FAC-112", "park_id": "PRK-042", "name": "Mash and Barrel", "type": "Restaurant", "opening_hours": "09:00 - 22:00", "indoor_outdoor": "Indoor", "booking_required": false
| # | facility_id | park_id | name | type | opening_hours | description |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Our Haven scraper handles location searches, dynamic availability calendars, and pricing matrices with session management and anti-bot circumvention built in.
Extract regions, counties, postcodes, amenities, and beach access details for all active Haven holiday parks.
Map Saver, Bronze, Silver, Gold, and Signature grades across caravans, lodges, and glamping options.
Capture dynamic rates based on specific check-in dates, durations, and guest occupancy configurations.
Iterate through date matrices to track sold-out dates and remaining inventory across all parks.
Extract rules, availability, and pricing surcharges for dog-friendly accommodation options.
Scrape swimming slots, high ropes courses, entertainment schedules, and associated pricing.
Catalogue on-site restaurants, arcades, pools, and supermarkets including opening hours.
Automate searches across rolling 12-month windows to build comprehensive forward-looking pricing curves.
Run one-off bulk exports or configure continuous pipelines at hourly or daily cadences.
Brief in. Clean data out.
Provide park lists, date ranges, and guest configurations. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for haven.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.
Travel sites use aggressive session tracking and rate limiting. Here is how we maintain stable extraction.
Haven requires maintaining session cookies across the search flow. We handle token generation, cookie persistence, and session refreshing to prevent search timeout errors.
Haven's availability calendars and dynamic pricing widgets rely heavily on client-side React rendering. We run full Playwright browser sessions to hydrate these components.
Travel sites aggressively rate-limit datacenter IPs. Our crawlers use UK-based residential ISP proxies with realistic browser fingerprints to blend in with legitimate domestic traffic.
Extracting forward-looking pricing requires iterating through thousands of date and duration combinations. Our orchestrator distributes these search spaces efficiently across parallel workers.
For large date matrices, we maintain a hash index of last-seen prices. Subsequent runs only push diffs, reducing downstream processing load.
Holiday park operators track Haven pricing strategies across regions to optimise their own seasonal rates.
Pricing teams adjust their own accommodation rates dynamically based on Haven's remaining availability and occupancy signals.
Analysts track booking windows, peak season rate inflation, and regional demand to understand UK domestic travel trends.
Private equity firms evaluate the leisure sector by monitoring park expansion, amenity upgrades, and pricing power.
Machine learning teams use historical pricing datasets to train demand forecasting and price elasticity algorithms.
Online travel agencies supplement their aggregator listings with direct park data to ensure parity and completeness.
"Haven's pricing matrix is a rich dataset for UK domestic travel trends, but extracting it requires iterating through millions of date and occupancy combinations."
Most teams underestimate the complexity of scraping travel availability. It requires managing stateful search sessions, rendering dynamic calendar widgets, and rotating proxies to avoid rate limits. DataFlirt absorbs that complexity so your engineers can focus on the analysis.
Everything supported by our haven.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 retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows for the search matrix.
We maintain pools of residential ISP proxies across UK regions. Rotation happens per-request with sticky sessions required for the booking flow.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling for matrix searches. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About haven.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing and availability data is generally permissible. DataFlirt targets only public, non-authenticated park and accommodation data. We do not extract personal data or access owner portals. Clients should review terms of service and consult legal counsel for specific use cases.
We maintain stateful sessions using Playwright. If a search token expires or Haven forces a session reset, our middleware automatically requests a new token and resumes the date matrix iteration from the last successful checkpoint.
Yes. We can target specific regions, individual parks, or the entire UK catalogue. The pipeline iterates through all active locations returned by the Haven directory.
Pipelines can be configured to run daily or hourly. Full matrix scans across all dates and parks typically complete within a 4-8 hour window depending on the requested date range depth.
Yes. By running daily snapshots, you can calculate the delta in available units per grade, providing a strong proxy for booking velocity and occupancy rates.
Yes. We can extract the public activity schedules, pricing, and age restrictions for facilities at each park.
Our packages start at a defined set of parks (e.g., top 10 locations) with daily delivery across a 90-day forward-looking window. Contact us with your specific requirements for a scoped quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off park catalogue dump or a continuous price-monitoring feed across all locations - we scope, build, and operate the pipeline. Tell us what you need.
