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CHINTAI Real Estate Listing Scraper

The CHINTAI real estate listing scraper turns Japanese rental search results into a structured CSV for property research, market checks, and operations teams that need CHINTAI listings in a spreadsheet. Import the workflow, replace the starting CHINTAI list URL with your approved search page, and export rent, address, transit, floor plan, area, fees, deposits, building age, structure, update date, and detail URLs from the local desktop app.

Output

CSV

Fields

16

Pagination

Automatic

Source

CHINTAI

Template

Free import

At a glance

Export CHINTAI rental listings to CSV

CHINTAI pages are useful for Japan rental research, but manual review is slow when each listing splits important facts across result cards and detail pages. This template handles the repetitive browser work: Navigate to a filtered list, wait for detail links, fetch active detail pages, parse labeled property fields, append the export, and loop to the next result page.

Use it when you need a repeatable CHINTAI to CSV workflow for neighborhood comparisons, rent benchmarking, relocation research, agency QA, or internal enrichment. The included start URL points to an active shop listing page because older catalog sample URLs had expired; replace it with any CHINTAI search or shop result URL your team has reviewed.

Capture listing and detail fields

Export the same practical fields analysts compare: property type, name, detail URL, address, nearest transport, floor plan, area, rent, management fee, deposit, key money, building age, floors, structure, and update date.

Follow result pagination

The workflow checks for a next-page URL after each export. If one exists, it navigates forward, waits for the page to settle, and repeats the extraction loop.

Build one append-friendly file

Structured Export writes headers and appends rows into 1753.csv, so multi-page runs produce one spreadsheet instead of scattered manual notes.

Keep custody local

The browser session and CSV output stay on your computer. Nothing in the stock workflow sends CHINTAI rows to UScraper servers.

Who uses it

Use cases for a CHINTAI property scraper

Real estate analysts

Rent benchmarking

Favorable to scraping

Compare rent, area, floor plan, building age, and fees across filtered CHINTAI result pages before building local market reports.

Relocation and housing teams

Shortlist cleanup

Favorable to scraping

Turn reviewed searches into rows that can be sorted by station access, key money, deposits, or update date before sharing options with clients.


How to use

Scrape CHINTAI listings in five steps

1

Download and import

Download the hosted CHINTAI template JSON, then import it into UScraper.

2

Replace the start URL

Open the Navigate block and replace the sample CHINTAI shop list URL with your approved filtered search, area, or shop listing page.

3

Confirm the export path

The Structured Export block writes 1753.csv with headers in append mode. Change the file name or save folder if your team uses a shared property-data workspace.

4

Run the browser flow

UScraper navigates, waits for detail links, fetches each listing detail page, creates structured hidden rows, exports them, then checks whether a next page exists.

5

Review the first batch

Open the CSV, spot-check several detail URLs against CHINTAI, and adjust pacing if you see blank rows, slow pages, or a CAPTCHA prompt.

Output preview

What the CHINTAI CSV includes

1753.csv
CSV - UTF-8 - Append

Column

type

Rental property type such as apartment or mansion when shown.

Column

property_name

Listing or building name parsed from the detail page.

Column

detail_url

Source detail page URL for audit and review.

Column

address

Property address or location label.

Column

transport

Nearest station, line, bus, or access text.

Column

floor_plan

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

Column

area

Exclusive area in square meters.

Column

rent

Monthly rent value shown by CHINTAI.

Column

management_fee

Management or common service fee.

Column

updated_date

Information update date when exposed.

Sample rows

2 of many

typeproperty_namedetail_urladdresstransportfloor_planarearentmanagement_feeupdated_date
ApartmentGreen Court Hiroshima 203Hiroshima-shi Naka-ku, Hiroshima8 min walk from Hatchobori Station1LDK36.4 m27.2 man yen3,000 yen2026/06/01
MansionRiver Side Plaza 501Hiroshima-shi Minami-ku, Hiroshima12 min walk from Hiroshima Station2DK44.8 m28.9 man yen5,000 yen2026/06/02
Headers included - one row per active CHINTAI listing detail page
CSV column groupFields included
Listing identitytype, property_name, detail_url
Location and accessaddress, transport
Unit factsfloor_plan, area, built_year, floors, structure
Cost fieldsrent, management_fee, deposit, key_money
Review fieldssummary, updated_date

For adjacent property workflows, browse the UScraper template library, compare with the Homegate Switzerland rental scraper, or install the app from UScraper download before importing this CHINTAI scraper.


Frequently asked questions

CHINTAI listings can be publicly visible, but automated collection may still be limited by CHINTAI terms, robots rules, copyright, database rights, privacy obligations, and local law. Keep runs modest, do not bypass CAPTCHA or access controls, preserve source URLs, and get legal review before commercial reuse.

Before you run

Limits and maintenance notes

Guardrails for reliable CHINTAI exports

Rate limits

Avoid aggressive batches

CHINTAI may slow responses, show CAPTCHA, or block unusually heavy browsing. Keep the bundled waits, avoid parallel runs, and stop whenever the site asks for human verification.

Layout changes

Watch for selector drift

The parser reads visible labels and common detail-page patterns. Empty address, rent, or fee columns usually mean the listing expired or CHINTAI changed its markup.

Compliance

Review CHINTAI rules before reuse

Check CHINTAI terms, the official robots policy, and your own data-use rules before redistributing property records. Local scraping gives custody of the run; it does not remove platform obligations.

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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Available on Windows 10+ and macOS 12+ · Need help? [email protected]