We extract destinations, POIs, cultural events, and regional itineraries from VisitPortugal. Delivered as clean JSON, CSV, or Parquet to S3 or Postgres on your schedule.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Points of Interest objects from visitportugal.com. All fields typed and schema-versioned.
"poi_id": "PT-POI-9482", "name": "Torre de Belem", "region": "Lisboa", "category": "Monument", "latitude": 38.6915, "longitude": -9.2159, "accessibility_flags": "['wheelchair_access', 'tactile_models']"
| # | poi_id | name | region | municipality | category | description |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Events & Festivals objects from visitportugal.com. All fields typed and schema-versioned.
"event_id": "EVT-2025-081", "title": "NOS Alive", "start_date": "2025-07-10", "end_date": "2025-07-12", "location": "Passeio Maritimo de Alges", "category": "Music Festival", "ticket_url": "https://nosalive.com/tickets"
| # | event_id | title | start_date | end_date | location | region |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Itineraries & Routes objects from visitportugal.com. All fields typed and schema-versioned.
"route_id": "RT-ALGV-04", "title": "Rota Vicentina", "theme": "Nature & Hiking", "duration_days": 5, "total_distance_km": 120.5, "transport_mode": "Walking", "region": "Alentejo & Algarve"
| # | route_id | title | theme | duration_days | total_distance_km | transport_mode |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Accommodation objects from visitportugal.com. All fields typed and schema-versioned.
"listing_id": "ACC-3910", "name": "Pousada de Lisboa", "type": "Hotel", "star_rating": 5, "region": "Lisboa", "municipality": "Lisboa", "rnet_number": "7291"
| # | listing_id | name | type | star_rating | region | municipality |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Surfing & Beaches objects from visitportugal.com. All fields typed and schema-versioned.
"spot_id": "SRF-042", "name": "Supertubos", "region": "Centro", "wave_type": "Beach Break", "bottom_type": "Sand", "blue_flag_status": true, "best_swell_direction": "NW"
| # | spot_id | name | region | wave_type | bottom_type | best_swell_direction |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our VisitPortugal scraper maps the entire graph of regions, municipalities, POIs, and events. We handle multi-language variants, interactive map data extraction, and structural changes.
Monuments, museums, parks, and beaches complete with coordinates, historical descriptions, and accessibility details.
Extract upcoming cultural, sporting, and musical events with start/end dates, venues, and ticketing links.
Capture multi-day routes including sequential stops, transport modes, and total distances.
Extract hotel, rural tourism, and hostel listings including RNET registration numbers and eco-certifications.
Detailed extraction of surf breaks, hiking trails, wave characteristics, and Blue Flag beach statuses.
Extract content across EN, PT, ES, FR, and DE localisations to support international travel applications.
Capture exact latitude and longitude coordinates for integration into mapping and routing engines.
Extract detailed wheelchair accessibility flags, tactile mapping availability, and audio guide presence.
Run pipelines monthly or weekly to detect new events or modified opening hours without redundant data drops.
Brief in. Clean data out.
Specify target regions, POI categories, or event date ranges. We map the extraction schema.
We configure crawlers, handle pagination, and render JavaScript map components for coordinate extraction.
Schema validation, coordinate boundary checks, and translation alignment before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, Postgres database, or via Webhook.
Extracting structured tourism data requires navigating dynamic maps, multi-language routing, and paginated directories.
Many POI coordinates and route nodes are embedded in interactive map components rather than static HTML. We use Playwright to execute map scripts and intercept geospatial JSON payloads.
VisitPortugal uses URL pathing and cookies for language selection. Our pipeline maintains strict session boundaries per locale, ensuring English queries do not return Portuguese descriptions.
Event calendars and accommodation directories use AJAX-based pagination. We trace the underlying XHR requests to extract data directly from the API endpoints, bypassing UI rendering overhead.
Events are often tied to specific POIs (venues). Our schema preserves these relationships, outputting foreign keys so you can rebuild the graph in your own database.
Events get cancelled or rescheduled. We maintain state across runs, flagging modified dates or removed listings rather than just appending new records.
Mobile applications populate their internal databases with authoritative POI and event data for Portugal.
Navigation services ingest precise coordinates, trail data, and accessibility metadata for specialized routing.
Hospitality investors analyze accommodation density, RNET registrations, and regional tourism focus.
Global ticketing and event platforms syndicate local Portuguese festivals, concerts, and exhibitions.
LLM developers train travel recommendation agents on structured itineraries and rich location descriptions.
Travel agencies monitor seasonal opening hours and new regional attractions to build custom packages.
"Authoritative tourism data is the foundation of any travel product, but scraping government-backed portals requires navigating complex taxonomies and multi-language architectures."
VisitPortugal offers a wealth of structured data locked behind interactive maps and dynamic language routers. DataFlirt untangles this web, delivering clean, relational datasets of POIs, events, and itineraries. We handle the crawling, coordinate extraction, and localization logic, so your engineering team can focus on building the product.
Everything supported by our visitportugal.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 bypass heavy UI rendering by intercepting the raw JSON payloads powering VisitPortugal's interactive maps and paginated event calendars.
Strict cookie and header management ensures language settings remain consistent across distributed crawl nodes, preventing mixed-language records.
Pipelines run on Kubernetes with Airflow scheduling. Output is validated against strict JSON schemas before being pushed to your warehouse.
Data delivered to where your team already works — no new tooling required.
About visitportugal.com scraping, legality, and pipeline operations.
Ask us directly →Scraping public factual data, such as POI locations, event dates, and municipal information, is generally permissible for non-destructive use. We do not scrape user accounts or bypass authentication. Clients must ensure their downstream use complies with relevant copyright and database rights.
Yes. We configure pipelines to target specific language paths (e.g., /en, /pt) and maintain separate sessions. We can deliver separate datasets per language or a unified schema with localized fields.
VisitPortugal uses dynamic maps for trails and POIs. We use Playwright to execute the underlying JavaScript and intercept the network requests containing the raw coordinate data, ensuring high accuracy.
Event data can be refreshed daily or weekly depending on your needs. Our change detection system ensures you only process new, modified, or cancelled events, minimizing database churn.
We extract the high-resolution URLs for all multimedia assets associated with POIs and events. We do not host the image files directly, but provide the direct links for your system to ingest.
Our managed service includes active monitoring. If DOM structures or API endpoints change, our alerting stack flags the anomaly, and our engineers update the extraction logic to restore the pipeline.
20-minute scoping call. Pilot dataset within the week. Production within two. From complete POI directories to daily event calendar syncs, we build and maintain the pipeline. Get structured data delivered directly to your infrastructure.