Clinic growth teams
Market mapping
Build a spreadsheet of nearby Doctors File listings by department, station, facility feature, and examination coverage before planning manual outreach or competitor reviews.
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This Doctors File Info Scraper turns Doctors File clinic detail pages into a structured CSV for healthcare directory research, clinic market mapping, and spreadsheet review. Import the template into UScraper, add the detail URLs you want to inspect, and export facility names, detail URLs, addresses, phone numbers, nearest stations, departments, features, and examinations from the local desktop app.
CSV
8
10 URLs
Built in
Free
At a glance
The template is designed for detail-page extraction, not broad search-result crawling. The Navigate block ships with sample Doctors File clinic URLs, then the workflow waits for the page body and calls a helper that reads visible facility information when the page is available.
Doctors File can return restricted or forbidden pages in some browser contexts. For the included sample URLs, the helper also contains known preview values so the export structure remains testable while you validate access, pacing, and data quality. That makes the workflow useful for prototyping a doctors file scraper before you expand it with your own approved URL list.
Clinic rows ready for spreadsheets
Export facility names, contact details, address fields, station access, department labels, feature tags, and examination lists into a repeatable CSV schema.
Runs through selected detail URLs
Add or replace entries in navigate.urls. Loop Continue advances through the list and Structured Export appends each clinic under the same headers.
Local desktop workflow
The browser run happens in the desktop app, and the CSV lands in the save folder you choose. That keeps review, retention, and handoff close to your team.
Built for maintenance
The graph uses readable blocks: Navigate, Wait for Page Load, Wait for Element, Inject JavaScript, Structured Export, and Loop Continue.
Who this is for
Clinic growth teams
Market mapping
Build a spreadsheet of nearby Doctors File listings by department, station, facility feature, and examination coverage before planning manual outreach or competitor reviews.
Healthcare analysts
Data QA
Compare exported Doctors File clinic records against internal provider lists to spot missing departments, stale addresses, inconsistent phone data, or gaps in specialty coverage.
Agencies and researchers
Directory sampling
Collect a documented sample of Japanese clinic directory pages without asking analysts to copy facility names, features, and examinations by hand.
How to use
Download the template
Use the download button on this page or open the hosted Doctors File Info Scraper JSON directly.
Import into UScraper
Open the desktop app, import the JSON, and review the grouped workflow blocks before the first run.
Add clinic detail URLs
Replace or extend the sample Doctors File entries in navigate.urls. Use detail pages such as https://doctorsfile.jp/h/217812/, not search pages.
Check the export path
Structured Export writes doctors-files.csv with headers and append mode. Change the save location if your team stores research files in a shared project folder.
Run and inspect the output
The automation navigates, waits, extracts, appends a CSV row, and continues to the next URL. Open the file in Excel, Sheets, or a healthcare data review workflow.
Automation path inside the template
Navigate
Open each Doctors File clinic detail URL from the configured list.
Wait and detect page state
Wait for page load, confirm the body exists, and give the page enough time to expose readable text.
Extract clinic fields
Run a helper that reads live page values first and uses bundled preview values for included blocked sample URLs.
Append and continue
Write one structured row to CSV, then Loop Continue advances to the next detail URL.
Output preview
The export focuses on fields that are useful for clinic inventory, directory QA, and healthcare data visualization. Long department, feature, or examination values stay in single cells so the file remains easy to filter, split, or normalize later.
doctors-files.csvColumn
facility_name
Clinic, hospital, or facility name from the detail page.
Column
detail_url
The Doctors File URL loaded by the workflow.
Column
address
Visible street address or locality text.
Column
phone_number
Phone number when exposed in readable page text.
Column
nearest_station
Station or access text shown for the facility.
Column
departments
Departments and medical specialties listed on the page.
Column
features
Facility attributes such as parking, booking, cards, or accessibility.
Column
examinations
Examinations and test capabilities listed by Doctors File.
Sample rows
2 of many
| facility_name | detail_url | address | phone_number | nearest_station | departments | features | examinations |
|---|---|---|---|---|---|---|---|
| よだ内科・循環器内科クリニック | 千葉県柏市十余二249-49-2 | 04- | 柏の葉キャンパス駅 | 内科,循環器内科,外科,心臓血管外科,心臓外科 | バリアフリー対応,駐車場あり,予約可 | 心電図検査,超音波検査,レントゲン検査 | |
| KENカルディオクリニック柏 | 千葉県柏市新富町1-2-34 2F | 050- | 南柏駅 | 循環器内科,心臓外科,内科,小児科 | 日曜診療,キッズスペースあり,駐車場あり | 心臓超音波検査,アレルギー検査 |
Pair this workflow with the Jameda Doctor Scraper for another doctor-directory export, the Website Contact Details Scraper for site enrichment, and the OpenStreetMap Listing Scraper for local-place cross-checks. Browse the full template library or install the local desktop app from UScraper download.
Doctors File pages may be public, but the site terms, robots guidance, database rights, privacy rules, and healthcare data rules still matter. Use the template for limited, legitimate research, do not bypass access controls, and get legal review before using the CSV for outreach, resale, enrichment, or automated decision-making.
Before you run
Guardrails for Doctors File exports
Some Doctors File pages may return forbidden responses
Treat blocked pages as a signal to pause and review your access method, pacing, and permissions. Do not build around verification or technical access controls.
Directory markup can change
Blank facility names, missing phone values, or truncated examination lists usually mean the page structure changed. Re-test one URL and update the extraction helper before scaling.
Healthcare directory data needs careful handling
Review Doctors File terms, privacy obligations, retention policies, and internal approval rules before using exported clinic data for outreach, enrichment, or analytics.
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