This tutorial shows how to scrape SUUMO used apartment and condominium result pages into CSV with the SUUMO Apartments Listings Scraper template for UScraper. You will import the workflow, replace URLs, set the export folder, run a validation batch, and review fields before scaling.
Before you start
Prerequisites for a SUUMO apartments scraper
You need UScraper installed as a local desktop app, the free SUUMO Apartments Listings Scraper template, SUUMO result-page URLs you are allowed to process, and a folder where the CSV should be written. Start with one page before you run the full page list.
The bundled workflow targets used apartment and used condominium listings, not a rental-detail export. If your intent is a SUUMO rental listings scraper, the same workflow discipline applies, but the rent, deposit, key money, floor, and room fields need rental-specific selectors. For rental work, browse the related SUUMO Rental Property Listing Scraper.
Review SUUMO's current terms of use, robots directives, copyright rules, privacy obligations, and real estate data restrictions before automation. Keep runs modest and use official or licensed data routes when you need redistribution rights.
Technical access is not the same as permission. Treat the first run as a compliance and QA check, not just a browser automation test.
Workflow anatomy
How the SUUMO scraper workflow works
The JSON export is the source of truth for the automation. In plain English, the default workflow is:
Navigate URL list -> Wait for Page Load -> Wait for .property_unit
-> Structured Export -> Loop Continue
The Navigate block includes known SUUMO result-page URLs for an analyzed Chiba used-apartment search, from page=1 through page=192. Loading explicit page URLs avoids fragile click-pagination loops and makes the batch easier to trim, resume, or rebuild for another prefecture, city, price range, or property type.
| Block | Purpose | Check |
|---|---|---|
| Navigate | Opens each configured SUUMO result URL | Replace the default URLs with your approved search pages. |
| Wait for Page Load | Lets the result page settle | Increase only after a slow first test. |
| Wait for Element | Waits for .property_unit cards | Empty pages or layout changes stop here. |
| Structured Export | Extracts fixed CSV columns | Confirm filename, folder, headers, and append mode. |
| Loop Continue | Advances to the next page URL | Keep it last in the loop body. |
Runbook
How to scrape SUUMO apartment listings to CSV
Import the workflow
Open the SUUMO Apartments Listings Scraper template, download the JSON, and import it into UScraper.
Prepare result-page URLs
Build your SUUMO search manually, copy the result URL, and generate the page sequence you want to collect. Preserve filters such as area, property type, price, and page=.
Replace the Navigate list
Paste your approved page URLs into Navigate. For a first run, keep the list to one or two pages so the browser and CSV are easy to compare.
Confirm the export folder
Structured Export writes suumo-used-apartments-listings-scraper.csv with headers and append mode. Point it at your project folder before a real batch.
Run one small batch
Watch the browser as UScraper loads the page, waits for listing cards, exports rows, and moves to the next configured URL.
Validate before scaling
Compare the first CSV rows against live cards, check blanks, clear test rows if needed, then expand the URL list.
Because file mode is append, reruns add rows to the same CSV. Use dated filenames for recurring market research, or clear the file before rerunning the same pages.
Export shape
SUUMO CSV fields and validation checks
The bundled JSON has no CSV sample file, so use the workflow definition as the authoritative export shape. The template extracts Japanese field labels from each listing card and keeps source context for auditing.
| Field group | Columns | Validation check |
|---|---|---|
| Listing identity | 物件名, 物件名_URL, Original_URL | Use listing URLs for dedupe and manual review. |
| Price and location | 販売価格, 所在地, 沿線_駅 | Compare prices, addresses, and station text with live cards. |
| Property specs | 専有面積, 間取り, バルコニー, 築年月 | Expect blanks when SUUMO does not publish a value. |
| Contact signals | 会員名, 電話番号 | Validate before outreach or CRM import. |
| Optional reputation | 接客評価コメント | Treat as best-effort because it appears only when visible. |
suumo-used-apartments-listings-scraper.csvColumn
物件名
Property headline from the result card.
Column
物件名_URL
Absolute SUUMO listing URL.
Column
販売価格
Published sale price text.
Column
所在地
Address or listing area.
Column
沿線_駅
Rail, station, and walking access.
Column
専有面積
Exclusive floor area.
Column
間取り
Layout such as 2LDK or 3LDK.
Column
会員名
Agency or member company.
Column
電話番号
Published contact number when visible.
Quality control
Validate the SUUMO apartment export
Open the CSV beside the browser. Check the first row, the last row, and one row with a blank agency, phone number, or balcony. If a row looks suspicious, open its 物件名_URL and compare the visible card.
| Symptom | Likely cause | Fix |
|---|---|---|
| Empty CSV | No .property_unit cards or selector drift | Open one page manually, handle prompts, then rerun one URL. |
| Prices are blank | Changed labels or wrong page type | Confirm you are using a used-apartment result page. |
| Duplicate listings | Overlapping page URLs or an old append file | Dedupe by 物件名_URL and clear the CSV before reruns. |
| Agency looks wrong | Contact text moved around the card | Inspect one listing and update the JavaScript column. |
| Run stops early | Slow response, expired page, prompt, or access challenge | Stop the batch, reduce volume, and do not bypass controls. |
Alternatives
Python, scraper APIs, and Octoparse alternatives
Searches for suumo scraping python tutorial, suumo apartments scraper API, best SUUMO scraper, or Octoparse SUUMO alternative usually point to one need: structured property rows without copy-paste. The right tool depends on who maintains the workflow.
| Option | Best fit | Trade-off |
|---|---|---|
| UScraper template | No-code users who want visible browser runs and local CSV review | Best for controlled batches, not a managed data feed. |
| Python script | Developers who need custom parsing and version control | You maintain requests, Selenium, selectors, retries, files, and compliance checks. |
| Hosted scraper API | Teams that need scheduled infrastructure and programmatic delivery | Requests and results usually pass through a third-party platform. |
| Octoparse-style visual template | Users who prefer a cloud or visual extraction tool | Compare pricing, data handling, scheduling, selector control, and export ownership. |
For broader property research, pair this tutorial with the UScraper template library, the SUUMO Used Apartment Detail Scraper, and related articles in the UScraper blog.
Frequently asked questions
Public SUUMO listing pages can still be governed by terms, robots directives, copyright, privacy law, database rights, and real estate data rules. Review the current terms and get legal review before commercial reuse.
Next step
Download the SUUMO apartments scraper template
Use the SUUMO Apartments Listings Scraper as the starting point, run one page, validate the CSV, then expand only after the output matches the live SUUMO cards. For adjacent jobs, browse more real estate scraper templates and keep each export tied to its source URLs.