We extract destination metadata, event calendars, accommodation details, and practical travel guides from polandtravel.org. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Attractions objects from polandtravel.org. All fields typed and schema-versioned.
"attraction_id": "ATTR_8492", "name": "Wawel Royal Castle", "city": "Krakow", "category": "Historical Site", "latitude": 50.054, "longitude": 19.935, "ticket_price": "35 PLN", "website": "https://wawel.krakow.pl"
| # | attraction_id | name | region | city | category | description |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Events objects from polandtravel.org. All fields typed and schema-versioned.
"event_id": "EVT_1029", "title": "Krakow Film Festival", "start_date": "2026-05-24", "end_date": "2026-05-31", "city": "Krakow", "category": "Festival", "admission_fee": "Varies", "venue": "Kijow Centrum"
| # | event_id | title | start_date | end_date | location | venue |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Accommodations objects from polandtravel.org. All fields typed and schema-versioned.
"hotel_id": "ACC_4412", "name": "Hotel Bristol", "type": "Hotel", "star_rating": 5, "city": "Warsaw", "amenities": "['WiFi', 'Spa', 'Pool', 'Restaurant']", "phone": "+48 22 551 10 00", "website": "https://www.hotelbristolwarsaw.pl"
| # | hotel_id | name | type | star_rating | address | city |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Regions objects from polandtravel.org. All fields typed and schema-versioned.
"region_id": "REG_06", "name": "Lesser Poland", "capital": "Krakow", "area_sq_km": 15182, "top_attractions": "['Wawel Castle', 'Auschwitz-Birkenau', 'Wieliczka Salt Mine']", "population": 3400000, "transport_options": "['Train', 'Bus', 'Airport']"
| # | region_id | name | capital | description | top_attractions | population |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Gastronomy objects from polandtravel.org. All fields typed and schema-versioned.
"restaurant_id": "GAS_992", "name": "Atelier Amaro", "cuisine_type": "Modern Polish", "city": "Warsaw", "price_range": "High", "michelin_stars": 1, "address": "Plac Trzech Krzyzy 10/14", "contact_info": "+48 22 628 57 47"
| # | restaurant_id | name | cuisine_type | address | city | price_range |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Our polandtravel.org scraper parses complex category trees, embedded map widgets, and multilingual routing to deliver clean, structured destination intelligence.
Extract names, descriptions, coordinates, and ticketing info for historical sites, museums, and national parks.
Monitor seasonal festivals, concerts, and exhibitions with precise start/end dates and venue details.
Pull hotel, hostel, and agrotourism listings including listed amenities and contact metadata.
Structure content for all 16 voivodeships, capturing top attractions and local transport guides.
Extract restaurant listings, cuisine types, and regional specialty recommendations.
Scrape parallel content structures across English, Polish, German, and other supported language variants.
Parse embedded map data to output raw latitude and longitude floats for spatial analysis.
Monitor visa requirements, currency exchange details, and emergency contact directories.
Run weekly or monthly pipelines to capture new events and updated opening hours without redundant loads.
Brief in. Clean data out.
Provide target categories, regions, or event types. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, and session management for polandtravel.org.
Schema validation, null-rate checks, and coordinate verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting structured data from government tourism portals requires handling fragmented regional subdomains and dynamic maps.
We map URL structures across language variants, ensuring parallel data extraction across locales without duplicating primary keys in your database.
We execute map hydration scripts to extract clean latitude and longitude coordinates for spatial mapping tools, bypassing standard DOM limitations.
For seasonal events, we use hash-based diffing to detect venue changes, updated schedules, or cancellations across runs.
We handle infinite scroll implementations and deeply nested taxonomy trees in the accommodation and gastronomy directories.
Every run emits structured logs to our observability stack. We alert on null-rate spikes and schema drift immediately.
OTAs and travel apps ingest attraction and regional data to populate their own destination guides.
Local event aggregators sync festival and exhibition schedules to maintain accurate calendars.
GIS analysts use extracted coordinates to map tourist density and infrastructure across Polish regions.
Tourism boards and hospitality investors analyse accommodation distribution and regional popularity.
NLP teams use parallel multilingual destination descriptions to train domain-specific translation models.
AI travel planners use structured attraction and gastronomy data to build automated routing suggestions.
"Polandtravel.org contains the definitive catalogue of Polish tourism infrastructure, but extracting it requires navigating fragmented regional subdomains and dynamic maps."
Most teams underestimate the investment required: reliable tourism data scraping requires parsing embedded map coordinates, handling multilingual URL routing, and maintaining selectors across frequently updated event calendars. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our polandtravel.org 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. Playwright handles JavaScript rendering and map widget hydration.
We maintain pools of European residential proxies. Rotation happens per-request to prevent rate limiting.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management.
Data delivered to where your team already works — no new tooling required.
About polandtravel.org scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available tourism information is generally permissible. We do not extract personal data or circumvent authentication walls.
We map URL structures across language variants, ensuring primary keys remain consistent while extracting parallel text fields.
Yes. We parse the embedded JavaScript map configurations to extract exact latitude and longitude values for attractions and accommodations.
Event calendars can be synced daily or weekly depending on your requirements, using hash-based diffing to detect cancellations or date changes.
We extract the outbound URLs provided on the listings, but we do not execute searches or scrape data from the external booking partners.
Our smallest packages start at a defined set of regions or categories with monthly delivery. Contact us for a scoped quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off destination catalogue or a continuous event calendar feed, we scope, build, and operate the pipeline. Tell us what you need.
