We extract destination guides, event calendars, thermal bath directories, and gastronomy listings from visithungary.com. Delivered as clean JSON, CSV, or Parquet to S3 or BigQuery 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 Destinations objects from visithungary.com. All fields typed and schema-versioned.
"destination_id": "DEST-8492", "name": "Lake Balaton", "region": "Transdanubia", "category": "Nature & Outdoors", "latitude": 46.8333, "longitude": 17.7333, "best_time_to_visit": "June to August"
| # | destination_id | name | region | description | category | best_time_to_visit |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Events objects from visithungary.com. All fields typed and schema-versioned.
"event_id": "EVT-1039", "title": "Sziget Festival", "start_date": "2026-08-05", "end_date": "2026-08-10", "city": "Budapest", "category": "Music Festival", "ticket_price": "349 EUR"
| # | event_id | title | start_date | end_date | location | city |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Thermal Baths objects from visithungary.com. All fields typed and schema-versioned.
"bath_id": "BATH-042", "name": "Széchenyi Thermal Bath", "city": "Budapest", "water_type": "Calcium, Magnesium, Hydro-carbonate", "facilities": "['Indoor Pools', 'Outdoor Pools', 'Sauna', 'Massage']", "admission_fee": "10500 HUF", "medical_services": true
| # | bath_id | name | city | water_type | facilities | operating_hours |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Gastronomy objects from visithungary.com. All fields typed and schema-versioned.
"listing_id": "GAST-912", "name": "Onyx Restaurant", "type": "Fine Dining", "region": "Budapest", "specialties": "['Modern Hungarian', 'Goulash Reimagined']", "michelin_starred": true, "price_range": "$$$$"
| # | listing_id | name | type | region | address | specialties |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Itineraries objects from visithungary.com. All fields typed and schema-versioned.
"itinerary_id": "ITIN-084", "title": "Tokaj Wine Region Tour", "duration_days": 3, "target_audience": "Couples", "route_points": "['Mád', 'Tarcal', 'Tokaj']", "total_distance": "45 km", "transport_mode": "Car / Bicycle"
| # | itinerary_id | title | duration_days | target_audience | route_points | total_distance |
|---|---|---|---|---|---|---|
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Our scraper navigates the dynamic, multilingual structure of visithungary.com to pull structured data on destinations, seasonal events, and hospitality infrastructure.
Extract regions, cities, historical context, and best-time-to-visit metadata across all primary tourism hubs.
Capture start dates, end dates, ticket pricing, and location data for cultural events, concerts, and exhibitions.
Directory extraction of thermal baths, including water composition, operating hours, and medical services.
Scrape restaurant listings, wine cellar directories, local specialties, and Michelin-star designations.
Pull data across English, German, Hungarian, and other supported language subdirectories with consistent schemas.
Parse curated travel itineraries including waypoints, recommended transport modes, and duration estimates.
Extract listings for hotels, campsites, and rural stays featured on the official board.
Extract latitude and longitude coordinates from embedded interactive maps for downstream GIS systems.
Run weekly or daily pipelines to keep event calendars and seasonal attraction operating hours fresh.
Brief in. Clean data out.
Provide specific regions, event date ranges, or categories (e.g., thermal baths). We design the extraction schema together.
We configure Scrapy / Playwright crawlers to handle visithungary.com's interactive maps and language toggles.
Schema validation, null-rate checks, and geospatial coordinate verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Official tourism boards rely heavily on client-side rendering and interactive map widgets. Here is how we extract structured data from visual interfaces.
visithungary.com serves content across multiple languages. We map language-specific URL paths and ensure field keys remain normalised regardless of the source language, allowing you to build unified multilingual databases.
Many itineraries and attraction locations are only surfaced via interactive JavaScript maps. We use Playwright to render these widgets, intercept the underlying XHR requests, and extract clean latitude/longitude coordinates.
Event listings use infinite scroll rather than static pagination. Our crawlers simulate user scroll behaviour to trigger lazy-loaded content, ensuring complete extraction of the event catalogue without missing records.
Tourism sites frequently overhaul their UI for winter vs summer seasons. Our selector strategy uses fallback chains and JSON-LD metadata extraction to maintain pipeline stability when front-end layouts change.
We maintain a hash index of last-seen events and destinations. Subsequent runs only push diffs — such as changed operating hours or updated ticket prices — reducing downstream processing load.
Online travel agencies ingest official destination guides and thermal bath directories to enrich their own platform content.
Tour operators monitor upcoming cultural events and festivals to build timely travel packages around major dates.
Analysts track regional attraction density and event frequency to understand tourism flows and regional popularity.
Mobility companies map official itineraries and destinations against local transport links to optimise route planning.
Real estate and hospitality investors identify regions with high attraction density but low accommodation supply.
LLM developers feed accurate, official Hungarian tourism data into travel-focused AI agents to prevent hallucination.
"Hungary's official tourism portal holds the definitive dataset for thermal baths, wine regions, and cultural events — but extracting it requires navigating dynamic maps and multilingual structures."
Most teams underestimate the complexity of scraping modern tourism boards. visithungary.com relies on client-side rendering for itineraries, interactive maps, and infinite-scroll event calendars. DataFlirt manages the JavaScript execution and state management so you receive clean, structured location data.
Everything supported by our visithungary.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 for interactive maps and infinite scroll event calendars.
Custom middleware to intercept XHR requests from Mapbox/Leaflet instances, extracting clean JSON coordinate data before it renders to the DOM.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About visithungary.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available tourism information is generally permissible. DataFlirt targets only public, non-authenticated destination, event, and directory data. We do not extract personal data or circumvent authentication walls.
Yes. We can configure the pipeline to extract content from specific language subdirectories (e.g., /en, /de, /hu) or pull all available languages into a single normalised schema.
Yes. We use Playwright to execute the client-side JavaScript, intercepting the underlying data payloads to extract latitude, longitude, and map pin metadata.
We typically configure event pipelines to run weekly or daily, ensuring that newly announced festivals, date changes, and ticket pricing updates are captured promptly.
By default, we extract the high-resolution image URLs. If required, we can configure a media pipeline to download these assets directly to your S3 bucket.
Our minimum engagement scopes a defined pipeline, such as a complete extraction of the thermal bath directory or a continuous feed of Budapest events. Contact us for specific volume pricing.
Absolutely. We provide a sample run of up to 50 destinations or events as part of the pre-engagement scoping process to validate schema fit and coordinate accuracy.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a complete dump of thermal baths or a continuous feed of Budapest events — we scope, build, and operate the pipeline. Tell us what you need.
