We extract official JNTO destination guides, travel itineraries, seasonal event schedules, and transport metadata. 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 & Regions objects from japan.travel. All fields typed and schema-versioned.
"destination_id": "dest_4921", "name": "Kiyomizu-dera Temple", "prefecture": "Kyoto", "region": "Kansai", "category": "Shrines & Temples", "latitude": 34.9948, "longitude": 135.785, "access_info": "15 min walk from Gojozaka bus stop"
| # | destination_id | name | prefecture | region | description | category |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Events & Festivals objects from japan.travel. All fields typed and schema-versioned.
"event_id": "evt_883", "title": "Gion Matsuri", "start_date": "2026-07-01", "end_date": "2026-07-31", "location_name": "Yasaka Shrine", "prefecture": "Kyoto", "event_type": "Traditional Festival", "admission_fee": "Free"
| # | event_id | title | start_date | end_date | location_name | prefecture |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Itineraries objects from japan.travel. All fields typed and schema-versioned.
"itinerary_id": "itin_102", "title": "Golden Route Classic", "duration_days": 7, "theme": "First-time visitors", "route_nodes": "['Tokyo', 'Hakone', 'Kyoto', 'Osaka']", "seasonality": "All Year", "estimated_cost_jpy": 120000
| # | itinerary_id | title | duration_days | theme | target_audience | route_nodes |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Experiences & Activities objects from japan.travel. All fields typed and schema-versioned.
"activity_id": "act_592", "title": "Traditional Tea Ceremony", "provider_name": "Urasenke Kyoto", "category": "Culture", "duration_hours": 2.5, "price_jpy": 5500, "languages_supported": "['English', 'Japanese']"
| # | activity_id | title | provider_name | category | duration_hours | price_jpy |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Transport & Access objects from japan.travel. All fields typed and schema-versioned.
"node_id": "tr_110", "station_name": "Shinjuku Station", "transport_type": "Train", "lines_served": "['Yamanote', 'Chuo', 'Saikyo', 'Shonan-Shinjuku']", "pass_eligibility": "['JR Pass', 'Tokyo Wide Pass']", "accessibility_features": "['Elevator', 'Tactile Paving']"
| # | node_id | station_name | transport_type | lines_served | pass_eligibility | accessibility_features |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our japan.travel scraper handles every layer of the platform, extracting official JNTO destination data, seasonal event schedules, and complex travel itineraries with full geographic coordinates.
Extract structured data for thousands of official JNTO points of interest across all 47 prefectures.
Monitor festival schedules, cherry blossom forecasts, and autumn leaves updates mapped to specific regions.
Capture routing information, nearest stations, and Japan Rail Pass eligibility for attractions.
Scrape descriptions and metadata in English, Japanese, Traditional Chinese, and 12 other supported languages.
Extract precise latitude and longitude data embedded in map widgets for downstream GIS applications.
Collect high-resolution image URLs, promotional video links, and official brochure PDFs.
Convert narrative travel routes into structured node-to-node JSON arrays with transit times.
Map every location to official JNTO tags like World Heritage, Onsen, or Outdoor Adventure.
Run weekly or monthly pipelines to capture new destination guides and updated event dates automatically.
Brief in. Clean data out.
Specify target regions, content languages, or data categories like events, itineraries, and locations.
We configure Scrapy spiders to navigate the japan.travel taxonomy and handle language toggles.
Schema validation, coordinate formatting checks, and null-rate monitoring before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting structured data from government-backed tourism portals requires handling multi-language state, dynamic map loading, and pagination quirks.
japan.travel uses session cookies and URL structures to maintain language state. Our crawlers strictly enforce locale headers to prevent mixed-language data extraction across paginated results.
Many exact coordinates and access routes are dynamically loaded via map widgets. We run Playwright to hydrate these components and extract the underlying GeoJSON data.
Destinations are nested under complex regional and prefectural hierarchies. We reconstruct this taxonomy into flat, queryable columns for every record.
Seasonal events frequently disappear or redirect to generic prefecture pages once concluded. Our diffing engine logs these as expired rather than simply dropping them from the dataset.
High-quality assets are served via heavily cached CDNs. We extract the highest resolution source URLs while stripping tracking parameters and dynamic resizing arguments.
OTAs and booking platforms augment their proprietary listings with official JNTO descriptions and imagery.
AI travel planners use structured official itineraries to train routing models and suggest realistic day trips.
Mapping providers ingest verified coordinates and access details for cultural heritage sites and rural attractions.
Tourism boards and hospitality investors analyse destination density and event frequency to plan infrastructure investments.
Travel publishers use the parallel multilingual content to train translation models specific to Japanese tourism terminology.
Rail pass calculators and transit apps cross-reference destination access data with station nodes.
"The official JNTO database represents the most authoritative source of Japanese tourism data, but extracting it into machine-readable formats requires navigating complex taxonomies and dynamic map layers."
Most engineering teams waste weeks writing custom parsers for government tourism portals, only to watch them break during seasonal redesigns. DataFlirt abstracts the extraction layer. We handle the language state, the map hydration, and the pagination quirks, delivering clean, validated destination data directly to your warehouse.
Everything supported by our japan.travel 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 hydrates map widgets and dynamic content. Combined via scrapy-playwright middleware.
We maintain pools of datacenter and residential IPs. Rotation happens per-request with sticky sessions to maintain language and locale state.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About japan.travel scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available, non-authenticated information from government tourism boards is generally permissible. DataFlirt targets only public destination and event data. We do not circumvent authentication walls or extract personal data. Clients should review JNTO terms of service and consult legal counsel for specific commercial use cases.
Yes. The pipeline can be configured to extract parallel datasets across English, Japanese, Traditional Chinese, and other locales supported by the platform, maintaining strict record linkage via destination IDs.
We use Playwright to execute the JavaScript necessary to hydrate embedded map widgets, extracting the underlying GeoJSON or raw latitude/longitude coordinates for each point of interest.
Event pipelines typically run on a weekly or daily cadence depending on the season. We track start and end dates strictly, flagging events that have concluded or been removed from the active directory.
We extract the outbound URLs to partner booking platforms like Klook or external hotel sites, but we do not follow those links to scrape live pricing or availability from third-party domains under this specific pipeline.
Our base packages cover full extractions of specific categories, like all destinations in the Kansai region, or all national itineraries, delivered monthly. Contact us for a scoped quote based on volume and frequency.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off database of cultural heritage sites or a continuous feed of seasonal events, we scope, build, and operate the pipeline. Tell us what you need.
