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SUUMO Rental Listing Scraper for CSV Export logo

SUUMO Rental Listing Scraper for CSV Export

This SUUMO rental listing scraper exports public rental result pages from suumo.jp/chintai into a structured CSV. Import the workflow into the UScraper local desktop app, adjust the search-page URLs, and collect rent, address, station access, fees, layout, area, detail links, images, and available unit counts without writing a custom crawler.

Output

CSV

Columns

14

Pages

20 URLs

Waits

Built in

Template

Free

At a glance

Scrape SUUMO rental listings into a spreadsheet

The workflow is organized for repeatable rental market research. It starts with a Navigate block containing known SUUMO search-result URLs, so you can replace the default Shinjuku pages with another city, ward, station area, or filtered search that SUUMO exposes through normal pagination.

After each page loads, UScraper waits until rental listing cards appear, then Structured Export reads one row per property card. JavaScript-backed columns combine station access lines, resolve relative detail links into full URLs, capture the first image URL, and count the unit rows shown under each property.

Spreadsheet-ready rental data

Export the fields analysts usually need first: property name, address, access, rent, fees, layout, floor area, listing URL, image URL, and available unit count.

Pagination is already wired

The bundled run loops through 20 configured ?page= URLs and appends matching cards into one local CSV with headers.

Local desktop execution

Your search URLs and exported rental CSV stay in the desktop workflow unless you add your own upload, sync, or sharing step.

Ready for follow-up enrichment

Use exported detail URLs as inputs for a second workflow, deduplication, geocoding, broker review, or market rent analysis.

Who uses this

Use cases for a SUUMO data extractor

The problem

Manually comparing dozens of rental cards across SUUMO pages is slow and hard to audit.

What you do instead

Export SUUMO listings to CSV for spreadsheet review.

Researchers can sort by rent, layout, area, access text, or available unit count while preserving the source detail URL for spot checks.

The problem

Rental listing cards mix building-level and unit-level facts in one visual block.

What you do instead

Capture consistent columns from every listing card.

The template separates property name, address, access, building age, rent, fees, deposit, key money, layout, and area into named fields.

The problem

Cloud scraping actors may not fit data handling rules for internal property research.

What you do instead

Run the workflow in the local desktop app.

Use UScraper when your team wants a no-code rental listing export without routing the raw CSV through a third-party scraping dashboard.

For adjacent Japanese real estate workflows, pair this page with the SUUMO Used Apartment Detail Scraper, Chintai Real Estate Listing Scraper, and Apamanshop Rental Listings Scraper. You can also browse the UScraper template library for more property, directory, and search extractors.


How to use

Configure the SUUMO rental scraper workflow

1

Download and import

Download the hosted JSON template and import it into UScraper.

2

Replace the search pages

Edit the Navigate urls array. Keep SUUMO's ?page= pagination pattern, but swap in the city, ward, station, or filter URL you need.

3

Confirm the page guard

The workflow waits for .cassetteitem cards before exporting. Run one page first so you can confirm the listing layout still matches the template.

4

Set the export folder

Structured Export writes suumo-rental-property-listings.csv with headers and append mode. Change the save location before client, market, or monthly batches.

5

Run and review the CSV

UScraper follows Navigate -> Wait for Page Load -> Wait for Element -> Structured Export -> Sleep -> Loop Continue. Open the CSV and spot-check rows before downstream use.

Output preview

CSV fields for SUUMO rental property listings

The export mirrors the workflow definition and keeps one row per listing card. Some SUUMO cards show multiple unit rows under one building; this template captures the first visible unit details plus an available_units_count field so you can flag buildings that need deeper follow-up.

property_nameaddressaccessrentmanagement_feedepositkey_moneylayoutareadetail_urlavailable_units_count
Prime Maison ShinjukuTokyo-to Shinjuku-ku ShinjukuTokyo Metro Marunouchi Line Shinjuku-gyoemmae walk 5 min154,000 JPY10,000 JPY1 month1 month1LDK38.25m2https://suumo.jp/chintai/sample-1/2
Yoyogi HeightsTokyo-to Shibuya-ku YoyogiJR Yamanote Line Yoyogi walk 7 min126,000 JPY8,000 JPY1 month0 month1K27.10m2https://suumo.jp/chintai/sample-2/1
Nakano Central CourtTokyo-to Nakano-ku ChuoTokyo Metro Marunouchi Line Nakano-sakaue walk 4 min188,000 JPY12,000 JPY1 month1 month2DK45.60m2https://suumo.jp/chintai/sample-3/3
suumo-rental-property-listings.csv
CSV - UTF-8 - Append

Column

property_name

Building or rental listing title from the SUUMO card.

Column

address

Address text shown in the card.

Column

access

All visible station and transit lines joined into one field.

Column

building_age_and_floors

Age and building floor information from the listing card.

Column

unit_floor

Floor value from the first visible unit row.

Column

rent

Displayed rent for the captured unit row.

Column

management_fee

Administration or management fee when shown.

Column

deposit

Deposit amount or months.

Column

key_money

Key money amount or months.

Column

layout

Room layout such as 1K, 1LDK, or 2DK.

Column

area

Floor area as published on the listing card.

Column

detail_url

Absolute SUUMO detail URL for follow-up review.

Column

image_url

First listing image URL when available.

Column

available_units_count

Count of visible unit rows under the property card.

Headers included - all configured SUUMO result pages append into one file

Comparison

Local rental export vs cloud SUUMO scrapers

UScraper template

Local CSV

Cloud scraper or API

Hosted
Setup

Import a no-code JSON workflow

Edit the Navigate URLs and export path inside the desktop app.

Configure actor, API, proxy, or account settings

Often better for developer-operated infrastructure.

Data path

CSV is written to your configured local folder

The stock template does not add upload or sync blocks.

Requests and results pass through vendor infrastructure

Useful for managed scale, but less direct for local-only review.

Target

Controlled batches of SUUMO search pages

Best for market checks, research sheets, and repeatable ward or station exports.

Large scheduled extraction pipelines

Best when you need managed proxying, API delivery, or production monitoring.


Frequently asked questions

SUUMO rental pages can be publicly visible and still governed by SUUMO terms, robots directives, copyright, database rights, privacy rules, and Japanese real estate data rules. Use conservative pacing, avoid bypassing access controls, do not republish protected content without permission, and get legal review before commercial reuse.

Before you run

Practical limits and maintenance notes

Keep these constraints visible

Rate limits

Large batches may trigger throttling or checks

The default workflow includes a short sleep, but larger page sets may need longer waits. If SUUMO shows CAPTCHA or anti-bot checks, solve or review them manually in the browser before continuing.

Layout drift

Listing-card selectors can change

Structured Export depends on .cassetteitem cards and related fields. Empty columns, missing URLs, or odd unit counts usually mean the source layout or filters need review.

Policy

Check SUUMO terms before reuse

Use the export for approved research workflows, keep source URLs for audits, and confirm rights before storing, enriching, sharing, or republishing rental listing data.

Download the free template, install the desktop app from UScraper download, and use this workflow when you need to export SUUMO listings into a structured local CSV.

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.

Contribute on GitHub

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