Real estate analysts
Land comparable review
Collect asking prices, land area, access text, and source URLs from a target city or ward so comparable lots can be sorted and checked in a spreadsheet.
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This SUUMO land listings scraper exports public SUUMO land-for-sale search results into a structured CSV. Import the workflow into the UScraper local desktop app, adjust the search URL, and collect listing titles, detail links, prices, locations, station access, land area, price per tsubo, agency details, phone numbers, and source URLs without writing a custom crawler.
CSV
14
Next loop
Built in
Free
At a glance
Use this template when you need a repeatable land listing export from SUUMO result pages, not one-off screenshots or manual copy-paste. The default workflow targets a public land search URL and keeps extraction on the listing page because some SUUMO detail pages can expire or return 404 after availability changes.
The automation path is straightforward: Navigate -> Wait for Page Load -> Wait for Element -> Structured Export -> Element Exists -> Click -> Wait -> loop. Structured Export reads visible listing-card fields, while the pagination branch checks for the next-page control before deciding whether to continue or end the run.
Spreadsheet-ready land data
Export sale price, location, transit access, land area, price per tsubo, building coverage/FAR, broker name, phone number, and source URLs into a single CSV.
Pagination already wired
The workflow clicks SUUMO's 次へ pagination link and appends rows until the next link is no longer present.
Local desktop execution
Your search URL and exported land CSV stay in the desktop workflow unless you add your own upload, sync, or sharing block.
Built for market review
Use the CSV for land comparables, broker follow-up, area filtering, price-per-tsubo checks, or enrichment in a property research pipeline.
Who this is for
Real estate analysts
Land comparable review
Collect asking prices, land area, access text, and source URLs from a target city or ward so comparable lots can be sorted and checked in a spreadsheet.
Buyer-side researchers
Shortlist building
Export candidate lots from SUUMO land searches, then flag listings by price band, transit access, agency contact, and building coverage/FAR constraints.
Data operations teams
Local CSV workflow
Keep collection in a no-code desktop workflow while producing a structured file for deduplication, geocoding, dashboard review, or manual QA.
For adjacent Japanese real estate workflows, pair this page with the SUUMO Rental Listing Scraper, SUUMO Used Apartment Detail Scraper, and Chintai Real Estate Listing Scraper. You can also browse the UScraper template library for more property and directory extractors.
How to use
Replace the search URL
Edit the Navigate block with the SUUMO land search results page you want to collect, such as a city, ward, station, or price-filtered land search.
Confirm the listing guard
Keep the wait step pointed at .property_unit. Run one page first to confirm SUUMO still exposes the expected listing-card structure.
Set the export folder
Structured Export writes suumo-land-listings-scraper.csv with headers and append mode. Change the save location before client, city, or monthly batches.
Run and review the CSV
UScraper exports the current page, checks whether a next-page link exists, clicks it when available, waits again, and appends the next page's listings.
Output preview
The export mirrors the workflow definition and keeps one row per visible land listing card. The sample rows below are realistic placeholders; actual values may remain in Japanese because SUUMO publishes labels, locations, agency names, and area text in Japanese.
| タイトル | 販売価格 | 所在地 | 沿線_駅 | 専有面積 | 間取り | バルコニー | 会員名 | 電話番号 |
|---|---|---|---|---|---|---|---|---|
| 横浜市港北区の土地 | 4280万円 | 神奈川県横浜市港北区 | 東急東横線「日吉」歩12分 | 112.40m2 | 126.0万円/坪 | 建ぺい率60%・容積率200% | サンプル不動産(株) | 0120-000-000 |
| 世田谷区上用賀 土地 | 7980万円 | 東京都世田谷区上用賀 | 東急田園都市線「用賀」歩9分 | 98.30m2 | 268.4万円/坪 | 建ぺい率50%・容積率100% | 東京サンプル販売(株) | 03-0000-0000 |
| さいたま市浦和区 土地 | 3580万円 | 埼玉県さいたま市浦和区 | JR京浜東北線「浦和」歩15分 | 120.10m2 | 98.6万円/坪 | 建ぺい率60%・容積率160% | 首都圏土地センター | 048-000-0000 |
suumo-land-listings-scraper.csvColumn
区別
Static category value set to land.
Column
タイトル
Listing title from the visible card heading.
Column
詳細ページ_URL
Absolute SUUMO detail URL when the card exposes a link.
Column
物件名
Property name parsed from the listing details.
Column
販売価格
Published sale price text.
Column
所在地
Address or location text from the card.
Column
沿線_駅
Rail line, station, and walking access when shown.
Column
専有面積
Land area, with fallback from the source card's area fields.
Column
間取り
Price per tsubo for land listings.
Column
バルコニー
Building coverage and floor-area ratio text.
Column
会員名
Agency or member company detected near the phone number.
Column
電話番号
Published contact phone number when available.
Column
Original_URL
Original SUUMO search URL, normalized without page parameter.
SUUMO land listing pages can be publicly visible and still governed by SUUMO terms, robots directives, copyright, database rights, privacy rules, and real estate data regulations. Use conservative pacing, avoid bypassing access controls, do not republish protected content without permission, and get legal review before commercial reuse.
Before you run
Keep these constraints visible
Large result sets may need slower pacing
The bundled workflow includes waits and a short sleep, but larger land searches may need longer delays. Avoid parallel runs or aggressive retry loops that create unnecessary load.
Listing-card selectors can change
Structured Export depends on .property_unit, listing labels, and the 次へ pagination link. Empty columns or stopped pagination usually mean the source layout needs review.
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 property data.
Download the free template, install the desktop app from UScraper download, and use this workflow when you need to export SUUMO land listings into a structured local CSV.
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