We extract destination profiles, cultural events, museum coordinates, and gastronomy guides from Spain.info. 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 Destinations objects from spain.info. All fields typed and schema-versioned.
"destination_id": "DEST_4921", "name": "Granada", "region": "Andalusia", "province": "Granada", "latitude": 37.1773, "longitude": -3.5985, "best_time_to_visit": "Spring, Autumn", "nearby_airports": "['Federico Garcia Lorca Granada-Jaen Airport']"
| # | destination_id | name | region | province | description | latitude |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Cultural Events objects from spain.info. All fields typed and schema-versioned.
"event_id": "EVT_8832", "title": "Festival de los Patios Cordobeses", "category": "Festival", "start_date": "2026-05-04", "end_date": "2026-05-17", "city": "Cordoba", "ticket_price": "Free entry", "official_website": "https://patios.cordoba.es"
| # | event_id | title | category | start_date | end_date | location_name |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Museums & Culture objects from spain.info. All fields typed and schema-versioned.
"poi_id": "MUS_104", "name": "Museo Nacional del Prado", "type": "Museum", "city": "Madrid", "latitude": 40.4137, "longitude": -3.6921, "admission_fee": "15.00 EUR", "accessibility_features": "['Wheelchair access', 'Audio guides']"
| # | poi_id | name | type | address | city | region |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Routes & Itineraries objects from spain.info. All fields typed and schema-versioned.
"route_id": "RT_55", "name": "Camino de Santiago - French Way", "duration_days": 35, "transport_mode": "Walking", "total_distance_km": 790, "difficulty": "Moderate", "stops": "['Roncesvalles', 'Pamplona', 'Logrono', 'Burgos', 'Leon', 'Santiago de Compostela']"
| # | route_id | name | duration_days | transport_mode | total_distance_km | stops |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Beaches & Nature objects from spain.info. All fields typed and schema-versioned.
"poi_id": "BCH_902", "name": "Playa de Ses Illetes", "type": "Beach", "region": "Balearic Islands", "sand_type": "White fine sand", "blue_flag_status": true, "latitude": 38.7554, "longitude": 1.4363
| # | poi_id | name | type | region | sand_type | facilities |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Our Spain.info scraper extracts structured geographic, cultural, and event data across all language variants, handling dynamic maps and seasonal content updates automatically.
Extract comprehensive profiles for cities, towns, and regions including practical travel information, climate averages, and transport links.
Monitor seasonal festivals, exhibitions, and concerts with exact dates, locations, ticket pricing, and official external links.
Capture precise latitude and longitude coordinates for points of interest directly from embedded interactive maps.
Extract parallel datasets across English, Spanish, French, German, and other supported variants for global applications.
Structure complex multi-day itineraries, hiking trails, and driving routes including sequential stops and distance metrics.
Catalogue regional dishes, wine routes, and notable culinary destinations featured across the tourism portal.
Extract environmental classifications, Blue Flag status, sand types, and facility lists for coastal and inland natural parks.
Gather data on local airports, train stations, visa requirements, and public transport infrastructure linked to destinations.
Run one-off bulk exports or configure continuous pipelines at weekly or monthly cadences to capture new events.
Brief in. Clean data out.
Provide target regions, event categories, or specific POI types. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, handle language toggles, and parse dynamic map objects.
Schema validation, null-rate checks, coordinate outlier detection, and sample exports before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Tourism portals rely heavily on interactive maps and dynamic content loading. Here is how we ensure reliable data extraction.
Spain.info embeds POI locations within interactive web maps. We intercept the underlying GeoJSON and API network requests to extract precise latitude and longitude coordinates, rather than relying on unstructured text addresses.
The portal serves content in multiple languages with varying URL structures. We map equivalent pages across languages, ensuring your dataset contains parallel translations tied to a single unified POI identifier.
Tourism sites constantly archive past events and publish new ones. Our pipelines detect date shifts and categorise events accurately, providing a clean feed of upcoming activities without historical clutter.
For the static destination catalogue, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, missing coordinates, schema drift, and coverage drops, responding before you notice.
Online travel agencies integrate official destination descriptions, event dates, and POI coordinates to enrich their booking platforms.
Transport companies cross-reference popular tourist routes and upcoming major events to forecast demand and adjust service schedules.
Agencies track the cultural calendar across Spanish provinces to identify scheduling conflicts or partnership opportunities.
Regional tourism authorities monitor how their destinations are presented and track nationwide event density for strategic planning.
Machine learning teams use structured POI and itinerary data to train conversational agents for travel planning and recommendation engines.
Researchers analyse the spatial distribution of cultural assets, Blue Flag beaches, and natural parks for urban and environmental planning.
"Spain.info holds the definitive geographic and cultural index for one of the world's most visited countries, essential for any global travel application."
Extracting data from modern tourism portals involves navigating interactive maps, multi-language toggles, and unstructured text blobs. DataFlirt structures this geographic and cultural data into a queryable format, handling the extraction complexity so your team can build better travel products without managing infrastructure.
Everything supported by our spain.info 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 renders dynamic map interfaces and interactive components to extract hidden geo-data.
We maintain pools of residential ISP proxies across EU regions. Rotation happens per-request to ensure uninterrupted access to the catalogue.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About spain.info scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available factual information, such as destination coordinates, event dates, and public transport links, is generally permissible. DataFlirt extracts only public, non-authenticated data. We do not extract personal data or bypass authentication walls. Clients should review terms of service and consult legal counsel for their specific commercial use cases.
We do not rely solely on HTML parsing for maps. We use Playwright to intercept the network requests that populate the map instances, extracting the raw GeoJSON or coordinate arrays directly from the API responses.
Yes. We can configure the pipeline to iterate through the language toggles on each page, producing a unified dataset where a single POI has parallel fields for English, Spanish, French, and other available translations.
Event data pipelines are typically scheduled to run weekly or bi-weekly to capture newly announced festivals and exhibitions. We normalise the dates and flag events that have concluded since the last run.
We extract the direct URLs to the highest resolution images available in the destination galleries. We do not host the image files, but provide the direct source links in the output dataset.
Our minimum engagement starts with a full initial extraction of the core destination and POI catalogue. For continuous event tracking or multi-language parity, we price based on pipeline frequency and data volume.
Yes. We provide a sample extraction of specific regions or event categories during the scoping phase. This allows your engineering team to validate the schema, coordinate accuracy, and language formatting before signing a contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off destination catalogue dump or a continuous event-monitoring feed across all regions, we scope, build, and operate the pipeline. Tell us what you need.