Real estate analysts
Rent benchmarking
Compare rent, area, floor plan, building age, and fees across filtered CHINTAI result pages before building local market reports.
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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.
CSV
16
Automatic
CHINTAI
Free import
At a glance
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
Real estate analysts
Rent benchmarking
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
Turn reviewed searches into rows that can be sorted by station access, key money, deposits, or update date before sharing options with clients.
Data operations teams
Spreadsheet handoff
Pair this workflow with the Naver Land Real Estate Scraper, Homegate Switzerland Rental Scraper, or Zillow Listing Scraper when analysts need cross-market property exports.
How to use
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.
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.
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.
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
1753.csvColumn
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
| type | property_name | detail_url | address | transport | floor_plan | area | rent | management_fee | updated_date |
|---|---|---|---|---|---|---|---|---|---|
| Apartment | Green Court Hiroshima 203 | Hiroshima-shi Naka-ku, Hiroshima | 8 min walk from Hatchobori Station | 1LDK | 36.4 m2 | 7.2 man yen | 3,000 yen | 2026/06/01 | |
| Mansion | River Side Plaza 501 | Hiroshima-shi Minami-ku, Hiroshima | 12 min walk from Hiroshima Station | 2DK | 44.8 m2 | 8.9 man yen | 5,000 yen | 2026/06/02 |
| CSV column group | Fields included |
|---|---|
| Listing identity | type, property_name, detail_url |
| Location and access | address, transport |
| Unit facts | floor_plan, area, built_year, floors, structure |
| Cost fields | rent, management_fee, deposit, key_money |
| Review fields | summary, 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.
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
Guardrails for reliable CHINTAI exports
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.
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.
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.
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