Relocation researchers
Area shortlists
Nuanced outcome
Collect comparable listings for a Tokyo ward, then filter by rent, layout, access, and age before handing options to a client or employee.
Real Estate$50Free
E-heya Rental Scraper
The e-heya rental scraper exports apartment listing data from e-heya.net into eheya-url.csv. It starts from a Tokyo/Chiyoda area page, finds a same-origin rental results page when needed, extracts pricing and property fields, then follows visible next-page controls until the listing rows stop.
Output
CSV
Fields
11
Pages
Next-loop
Source
e-heya.net
Template
Free import
At a glance
Scrape e-heya listings into a local CSV
Built for rental market spreadsheets
Use it when you need eheya to CSV output for rent comparisons, neighborhood checks, relocation research, or internal property tracking without manually copying listing cards.
Pagination is already wired
After each export, the flow marks a visible next control, clicks it, waits for the page, and repeats only when fresh listing rows are found.
Local custody by default
Structured Export writes to your machine in append mode. Nothing in this template sends the spreadsheet to UScraper infrastructure.
Focused rental fields
The selectors look for Japanese rental signals such as rent, management fees, deposits, key money, layout, access, floor, and building age.
Who uses it
Use cases for e-heya rental data
Property analysts
Weekly checks
Nuanced outcome
Export a repeatable snapshot of visible e-heya properties and compare rent changes or new stock across saved CSV runs.
Operations teams
Data entry cleanup
Nuanced outcome
Replace repetitive copy-paste work with a structured file that can be reviewed, normalized, and imported into internal tools.
How to use
Run the e-heya property scraper
1
Download and import
Download the hosted JSON template, then import it into the UScraper desktop app.
2
Review the start URL
The default run starts from https://www.eheya.net/tokyo/area/13101/. Change it only if you want a different e-heya area page.
3
Choose the save folder
The export file is named eheya-url.csv. Keep append mode on when you want every page in one sheet.
4
Run the flow
UScraper navigates, waits for load, closes common consent prompts, finds listing rows, exports fields, and loops through visible next pages.
5
Open and QA the output
Check the first rows for empty fields, duplicate cards, and detail URLs before using the data in a report or pipeline.
Output preview
What the CSV export includes
eheya-url.csvColumn
property_name
Listing or building name detected from headings or prominent links.
Column
address
Japanese address text when shown in the listing row.
Column
access
Station, walking time, bus, or rail access lines.
Column
rent
Monthly rent such as 12.4万円 or yen values.
Column
management_fee
Management/common service fee when present.
Column
deposit_key_money
Deposit, key money, guarantee, or amortization notes.
Column
layout
Room layout such as 1K, 1LDK, DK, or one-room.
Column
area
Floor area in m2, square meters, or Japanese area notation.
Column
building_age
New build or building age text.
Column
floor
Unit floor and total floor count when exposed.
Column
detail_url
Absolute URL for the property detail page.
Sample rows
2 of many
| property_name | address | access | rent | management_fee | deposit_key_money | layout | area | building_age | floor | detail_url |
|---|---|---|---|---|---|---|---|---|---|---|
| Chiyoda Court 302 | 東京都千代田区神田 | 神田駅 徒歩6分 / 淡路町駅 徒歩8分 | 12.4万円 | 8,000円 | 敷金1ヶ月 / 礼金1ヶ月 | 1K | 28.6m2 | 築7年 | 3階/10階建 | |
| Otemachi Residence | 東京都千代田区大手町 | 大手町駅 徒歩4分 | 19.8万円 | 込み | 敷金2ヶ月 / 礼金なし | 1LDK | 42.1m2 | 新築 | 8階/14階建 |
Headers are included; additional pages append below the same columns
UScraper vs cloud rental scraper templates
This UScraper template
LocalCloud scraper marketplaces
HostedRuntime
Runs in the desktop app
You can see and adjust the browser flow.
Runs on vendor infrastructure
Convenient, but outside your workstation.
Output
CSV saved locally
Append rows from every page into one file.
Download from dashboard or API
Often tied to account quotas.
Privacy
No cloud upload in the template
Keep search targets and CSV files on your machine.
Data crosses a provider boundary
Review vendor terms before sensitive work.
Frequently asked questions
Public real estate pages can still be governed by site terms, robots directives, copyright, database rights, privacy rules, and local law. Keep volumes reasonable, avoid collecting personal data beyond the listing context, review e-heya terms before commercial reuse, and get legal advice for production datasets.
Before you run
Practical limits and maintenance
Keep these guardrails visible
Pacing
Start with small batches
Real estate sites may slow, challenge, or block repeated automated browsing. Test a short run before collecting many pages.
Layout drift
Empty rows usually mean the page changed
If e-heya changes listing markup, update the row-marking or field extraction blocks before trusting new exports.
Policy
Review e-heya rules before reuse
Respect the official site terms, robots guidance, and local data rules, especially if you plan to publish or resell a dataset.
Get Started
Download and use this template instantly
$50Free
What's Included
- Template JSON file ready to import
- Pre-configured scraping nodes
- Works with UScraper desktop app
Open-source templates
UScraper templates are open source. Improve this workflow or contribute a new one to help the community grow.
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