Platform · Jalan

Jalan Data Scraping

A ryokan rate is per person and usually includes dinner and breakfast. Compare it to a room-only hotel rate and you have compared two different products.

Jalan data scraping collects Japanese accommodation rates, room and plan availability across hotels, business hotels and ryokan. The structural point that breaks a standard hotel schema: ryokan rates are quoted per person and typically include dinner and breakfast, while business hotel rates are per room and room-only. Those are different units, and mixing them produces a rate series that means nothing.

Every hotel source we cover quotes per room. Japanese accommodation frequently does not, and the difference is not a modifier — it is a different unit of sale.

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jalan.jsonl LIVE FEED

{"property_id":"jl-44120","property_type":"ryokan", "prefecture":"Example prefecture", "plan_id":"pl-standard", "rate":25000,"currency":"JPY", "rate_basis":"per_person", "occupancy_priced_for":2, "meal_plan":"ippaku_nishoku", "room_style":"japanese", "meal_description_text":"as published, unparsed", "note":"for 2 guests this is 50000 and includes 4 meals"} {"property_type":"business_hotel", "rate":9000,"rate_basis":"per_room", "meal_plan":"room_only", "caution":"9000 vs 25000 is NOT a price comparison. different units, different products"} {"normalised_rate":"not_computed", "reason":"would require pricing two dinners we cannot observe"}

3 of 1,880,110 property-plan-date rows · Japanrate_basis MANDATORY · never normalised across bases · schema v1.0

Independence and trademarks. Actowiz Solutions is not affiliated with, endorsed by or connected to Jalan or its owners. Jalan and related marks belong to their respective owners, used here only to name the publicly accessible source this service collects from.

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Jalan at a glance

How we handle Jalan specifically

Platform-specific handling, not a generic retail template pointed at a different domain.

Platform: Jalan — Japanese accommodation booking
The structural point: Ryokan rates are per person, including meals
Versus: Business hotel rates are per room, room-only
So: rate_basis is mandatory on every record
Meal plan: Ippaku-nishoku — one night, two meals — is the ryokan default
Occupancy: Part of the price on a per-person rate, not a filter
Property types: Hotel, business hotel, ryokan, minshuku — different products
Refresh: Daily per stay date; sub-daily around peak Japanese travel periods

Platform specifics

Two units of sale in one dataset

These are the reasons a Jalan dataset needs its own handling rather than a shared retail schema.

Per person including meals is a different product entirely

A Western hotel rate is per room, room-only, with breakfast as an optional extra. Japanese accommodation splits into two very different conventions.

Business hotels quote per room, room-only, in a way a standard schema handles fine.
Ryokan quote per person, and the standard plan includes dinner and breakfast — a convention known as ippaku-nishoku, one night with two meals.

A ryokan at ¥25,000 per person with two meals and a business hotel at ¥9,000 per room are not comparable numbers. For two people the ryokan is ¥50,000 and includes two dinners and two breakfasts; the hotel is ¥9,000 and includes nothing.

rate_basis is mandatory on every record — per_person or per_room — alongside meal_plan naming what is included. We do not normalise between them, because the normalisation would require pricing two dinners, which we cannot observe.

Occupancy becomes part of the price

On a per-person rate, the number of guests is not a filter on availability — it multiplies the price. We record occupancy_priced_for on every rate, so a rate is always interpretable.

Plans, not just rooms

Japanese accommodation is sold as plans, and the plan carries more than the room.

Meal plan — two meals, breakfast only, or room only, and ryokan frequently sell all three against the same room.
The meal itself can differ by plan, with an upgraded dinner course as a separate, dearer plan.
Room type interacts — Japanese-style, Western-style, or with a private open-air bath, priced very differently.

So the record is a plan, which is the same discipline as rate plans on an OTA but with more of the price sitting outside the room. We capture plan_id, plan_name as published, meal_plan and room_style.

We do not parse the meal description into a structured course list. The wording varies too much between properties to categorise without inventing categories, which is the same position as inclusions on our GetYourGuide page.

Japanese peak periods, and what we do not produce

Peak periods are concentrated and national

Japanese domestic travel concentrates into a small number of national periods rather than spreading across a summer season. Those periods move against the Gregorian calendar in some cases and are fixed in others.

Rates in those windows can be multiples of a normal week, and a year-over-year comparison aligned on calendar date will compare a peak period against a normal one if the dates shifted.

We record stay date, observation date and lead time, and we do not apply a seasonal adjustment — the choice of which periods to treat as peak is an analytical decision that belongs with you, the same position as Ramadan alignment on our GCC coverage page, with the difference that here we provide the dates rather than a derived phase field.

What we do not produce

Occupancy. Not published, and not inferrable from plan availability.
A normalised per-person-per-room rate. It would require pricing meals we cannot observe.
Guest or reviewer identity. Counts and ratings only.

Scope

What we collect on Jalan, and what we do not

The right column matters more than the left. Anyone can list fields; the limits are what tell you whether the dataset will hold up.

✅ What we collect

rate_basis mandatory — per_person or per_room — on every record
meal_plan naming what the rate includes
occupancy_priced_for, since occupancy is part of a per-person price
One record per plan, with plan name as published
room_style — Japanese, Western, private bath — as a structured field
Property type distinguishing hotel, business hotel, ryokan and minshuku
Stay date and observation date, with lead time derived
Meal description as published text, not parsed into courses
Review counts and ratings, without reviewer identity

❌ What we do not, and why

A per-person rate compared against a per-room rate
A normalised rate that prices meals we cannot observe
A meal description parsed into an invented course structure
A seasonal adjustment applied inside the feed
Occupancy, bookings or guest data

Core Jalan fields

The full dictionary is agreed during scoping. These are the fields specific to this platform.

Field	What it is on this platform
property_id / property_type / prefecture / city	The property and where it is
plan_id / plan_name	The record is a plan, with the name as published
rate / currency / rate_basis	The rate, and what it is per. Mandatory
occupancy_priced_for	Part of the price on a per-person rate
meal_plan / meal_description_text	What is included, and the text unparsed
room_style	Japanese, Western, or with private bath
stay_date / observed_at / lead_time_days	Both dates and the derived axis
refundable / cancellation_window	Structured where published
availability_state	Available, sold out or not listed
review_count / rating	Values only
property_star_or_grade	As published

Use cases

What teams do with Jalan data

Japanese accommodation benchmarking that holds

rate_basis and meal plan on every record, so ryokan and business hotel rates are analysed as the different products they are rather than averaged into a figure describing neither.

Ryokan plan structure analysis

Plans as records with meal plan and room style, showing how a property prices an upgraded dinner course or a private-bath room against its standard offering.

Peak-period rate movement

Stay dates and lead time without a seasonal adjustment applied, so you can align to whichever Japanese peak periods matter rather than inheriting our choice.

Property-type positioning

Hotel, business hotel, ryokan and minshuku distinguished, which is the segmentation this market actually uses and which a Western property-type schema collapses.

The 24-hour sample — run on your sources, not ours

Send us a Jalan item or category list. We run real collection against it and return the output within 24 hours, with the platform-specific fields populated so you can check them yourself rather than take our word for it.

Real extraction from your actual sources
Returned within 24 hours
Coverage and QA note included
You keep the data either way
No card, no trial clock
Named engineer on the call

Get my free sample Book a 20-min scoping call Reply within one business day. Reference calls available under NDA.

How we engage

Three ways to engage us

Same collection pipeline and QA underneath. The difference is who holds the schedule and how the data reaches you.

Managed service (most common)

We own the collection, the QA and the delivery. You receive clean data on a schedule and never touch a scraper.

Dedicated engineer assigned to your account
Site changes fixed by us, not reported to you
Scheduled delivery to your warehouse or S3
Named contact on Slack or email

Best fit: Teams who need the data, not the infrastructure.

API access

The same collection pipeline exposed as an authenticated REST endpoint your systems query directly.

On-demand and scheduled endpoints
Rate limits agreed to your load profile
Sandbox keys for integration testing
Versioned schema with deprecation notice

Best fit: Product and engineering teams building on live data.

One-time or project extraction

A defined pull for a specific question — market sizing, diligence, a pitch, a one-off audit.

Fixed scope agreed in writing upfront
Single delivery with full QA report
Methodology documented for your records
Converts to managed if you want continuity

Best fit: Research, strategy and diligence work with a deadline.

Pricing

Every engagement is quoted individually, because the honest answer depends on your scope: how many sources, how many records, how often, and how the data reaches you. We scope it with you, run a free pilot on your own sources, and then quote a fixed monthly figure — no per-request metering and no overage billing when volumes move. Request a quote and you will have a number after one call.

Jalan is usually collected alongside its competitors

Almost nobody buys a single platform in isolation. Jalan data becomes useful when it sits next to the competitor set on one schema, refreshed on one schedule, so a price index or availability comparison is genuinely like-for-like.

That is what travel & hospitality data covers, and a Jalan-only engagement can be expanded into it without rebuilding. If you already know you need several platforms, start there instead — it is the same pipeline and usually the better scoping conversation.

FAQ

Jalan data scraping: frequently asked questions

Platform-specific questions, including what cannot be collected here.

Because a ryokan rate is per person and typically includes dinner and breakfast, while a business hotel rate is per room and room-only. Normalising between them would require pricing two dinners, which we cannot observe.

A ryokan at ¥25,000 per person with meals and a hotel at ¥9,000 per room are not comparable numbers — for two people that is ¥50,000 with four meals against ¥9,000 with none.

One night with two meals — the standard ryokan convention where the rate includes dinner and breakfast. It is the default rather than an upgrade, which is the opposite of how Western hotel rates work.

We record it in meal_plan alongside the rate basis.

Because on a per-person rate the number of guests multiplies the price rather than filtering availability. We record occupancy_priced_for on every rate so it is always interpretable.

On a per-room rate it behaves the way it does anywhere else.

No. We capture them as published text. The wording varies too much between properties to categorise without inventing categories, and a structured course field built on guesses would look authoritative and be wrong in ways that are hard to detect.

No. Japanese domestic travel concentrates into a small number of national periods, some of which move against the Gregorian calendar.

We deliver stay dates, observation dates and lead time so you can align to whichever periods matter to your analysis, rather than inheriting a definition we chose.

We quote individually on properties times stay dates times plans times observations. Plan count is higher here than on a Western hotel source, because a ryokan frequently sells several meal and room-style combinations against one room.

One scoping call, a free pilot within 24 hours, then a fixed monthly quote. Request a quote.

See real Jalan data before you commit to anything

Send us an item or category list. We return the output within 24 hours with the platform-specific fields populated.

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Free pilot, no card, no obligation. If we cannot collect a field you need on this platform, the sample shows you that too.

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