We extract accommodation listings, attraction details, event schedules, and hiking trails from Visit Wales. 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 Accommodation objects from visitwales.com. All fields typed and schema-versioned.
"listing_id": "VW-ACC-4921", "name": "Snowdonia Mountain Lodge", "property_type": "Hotel", "region": "North Wales", "star_rating": 4, "price_range": "£85 - £150", "latitude": 53.1234, "longitude": -4.0123
| # | listing_id | name | property_type | region | star_rating | price_range |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Attractions objects from visitwales.com. All fields typed and schema-versioned.
"attraction_id": "VW-ATT-883", "name": "Conwy Castle", "category": "Historic Site", "region": "North Wales", "admission_fee": "£11.10", "latitude": 53.2801, "longitude": -3.8245
| # | attraction_id | name | category | region | description | opening_hours |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Trails objects from visitwales.com. All fields typed and schema-versioned.
"trail_id": "VW-TRL-102", "name": "Pembrokeshire Coast Path", "activity_type": "Walking", "difficulty": "Moderate", "distance_km": 299, "start_point": "St Dogmaels", "end_point": "Amroth"
| # | trail_id | name | activity_type | difficulty | distance_km | duration_hours |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Events objects from visitwales.com. All fields typed and schema-versioned.
"event_id": "VW-EVT-5519", "name": "Hay Festival", "event_type": "Festival", "start_date": "2026-05-21", "end_date": "2026-05-31", "location": "Hay-on-Wye", "price": "Varies"
| # | event_id | name | event_type | start_date | end_date | location |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Regions objects from visitwales.com. All fields typed and schema-versioned.
"region_id": "VW-REG-04", "name": "Brecon Beacons", "description": "A mountain range in South Wales known for hiking and dark skies.", "highlights": "['Pen y Fan', 'Dark Sky Reserve', 'Waterfalls']", "related_attractions": "['VW-ATT-112', 'VW-ATT-304']", "url": "https://www.visitwales.com/destinations/brecon-beacons"
| # | region_id | name | description | highlights | image_urls | related_attractions |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our pipeline processes the Visit Wales catalogue to extract structured records for properties, trails, and events, handling dynamic map widgets and pagination automatically.
Extract property names, types, star ratings, facilities, and contact details across all regions in Wales.
Capture historical sites, museums, and parks including opening hours, admission pricing, and location data.
Parse hiking and biking routes including distance, difficulty ratings, elevation, and start/end coordinates.
Monitor local festivals, markets, and exhibitions with start dates, end dates, and ticketing links.
Extract latitude and longitude coordinates from embedded map widgets for accurate POI plotting.
Normalise categories and regions so your downstream applications receive consistent string values.
Extract high-resolution image URLs and promotional video links associated with listings and regions.
Identify new events or updated accommodation details without reprocessing the entire dataset.
Receive weekly or monthly updates formatted for immediate ingestion into your database.
Brief in. Clean data out.
Specify the categories, regions, or event date ranges required. We map the schema to your specifications.
We configure Scrapy crawlers and Playwright scripts to navigate Visit Wales pagination and map interfaces.
We verify coordinate accuracy, date formatting, and null rates before the initial data load.
JSON, CSV, or Parquet pushed to your S3 bucket or data warehouse on your defined schedule.
Tourism directory sites rely heavily on interactive maps and dynamic filtering. Here is how our infrastructure processes the Visit Wales catalogue reliably.
Location data on Visit Wales is often embedded within interactive map components. We intercept the backend XHR requests feeding these maps to extract precise latitude and longitude coordinates rather than relying on unreliable address geocoding.
Accommodation and event searches use client-side state management. Our Playwright scripts simulate user interaction to trigger filters and capture the resulting JSON payloads directly from the network layer.
Event lists and attraction directories use dynamic loading. We automate the traversal of these pagination structures to ensure complete catalogue extraction without missing records.
A small bed and breakfast presents different data fields compared to a large hotel or a national park. We map these disparate page templates into a unified, predictable schema for your database.
Instead of replacing your entire event database, we hash existing records and only deliver updates for new events, date changes, or pricing modifications.
OTA platforms integrate regional accommodation and attraction data to expand their UK inventory.
Navigation providers ingest trail coordinates, difficulty ratings, and POI locations for custom map layers.
Local guides and ticketing platforms syndicate festival and market schedules to their users.
Analysts track the growth of accommodation types and pricing trends across different Welsh regions.
Directory builders use structured citation data to populate regional business listings.
Adjacent regional authorities benchmark attraction density and event frequency against Wales.
"Visit Wales holds the definitive structured dataset for Welsh tourism, but mapping thousands of trails, events, and properties requires dedicated extraction infrastructure."
Tourism aggregators often struggle with regional sites due to fragmented schemas and dynamic map widgets. DataFlirt standardises accommodation, attraction, and trail data from Visit Wales into clean, relational tables. We handle the pagination, coordinate extraction, and schema mapping so your engineering team can focus on product development rather than writing crawler scripts.
Everything supported by our visitwales.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.
We combine Scrapy for efficient catalogue traversal with Playwright to execute JavaScript for map widgets and dynamic filters.
UK-based datacenter and residential proxies ensure reliable access without triggering rate limits during high-volume extraction runs.
Pipelines run on Kubernetes with Apache Airflow orchestration, pushing validated data directly to your cloud storage.
Data delivered to where your team already works — no new tooling required.
About visitwales.com scraping, legality, and pipeline operations.
Ask us directly →Extracting publicly available, non-authenticated factual data such as business addresses, event dates, and trail coordinates is generally permissible. We do not extract personal user data or bypass authentication walls. Clients should consult their legal counsel regarding specific commercial use cases.
We use Playwright to monitor the network traffic generated by the browser. When the map widget requests POI data from its backend API, we intercept that JSON payload, which contains precise latitude and longitude values.
Yes. We configure pipelines to run on a scheduled cadence (e.g., weekly). Our system compares the new run against the previous state and delivers a diff file containing only new or modified events.
This specific pipeline targets the Visit Wales domain. If you require extraction from the third-party booking engines linked from Visit Wales, we treat that as a separate custom pipeline due to differing schemas and anti-bot measures.
Trails are delivered as structured records containing metadata (distance, difficulty). If the site provides GPX or KML files, we can extract the download URLs or parse the coordinate arrays directly into your database.
A complete extraction of all properties, attractions, and events typically completes within 2 to 4 hours depending on the configured concurrency and proxy rotation settings.
Yes. We can scope the pipeline to target specific regional URLs or categories (e.g., only campsites in Snowdonia) to reduce processing time and data volume.
20-minute scoping call. Pilot dataset within the week. Production within two. Stop manually copying event dates and property coordinates. Tell us your data requirements, and we will build the pipeline to deliver it.
