Recruiting teams
Role research
Export selected Woman Type postings before sourcing conversations. Filter the CSV by company, salary phrase, work location, and employment type instead of reopening each page.
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The Woman Type job details scraper exports Woman Type job-offer pages into a structured CSV for recruiting research, market mapping, and spreadsheet QA. Import the workflow into the UScraper local desktop app, replace or extend the supplied detail URLs, and collect job title, company name, employment type, work hours, location, salary, job description, and source URL without writing a custom crawler.
CSV file
10
7 URLs
30s + pause
Free import
At a glance
Build a job-detail spreadsheet
Capture the fields teams usually copy manually from Woman Type postings: job category, title, employer, employment type, working time, work location, salary text, description, and page URL.
Run a curated detail URL list
The Navigate block starts with seven Woman Type job-offer URLs. Loop Continue advances through the list and Structured Export keeps append mode on for one combined CSV.
Keep custody local
Navigation, waits, extraction, and file writing happen in the desktop app. Your reviewed URL list and CSV remain under your control unless you add your own sync step.
Use fields built for job analysis
The workflow focuses on structured job-detail fields instead of raw page text, which makes the export easier to filter by salary, location, company, and role type.
Who uses it
Recruiting teams
Role research
Export selected Woman Type postings before sourcing conversations. Filter the CSV by company, salary phrase, work location, and employment type instead of reopening each page.
Labor-market analysts
Posting snapshots
Preserve repeatable detail-page rows for approved job categories, then compare compensation, working-time language, and location patterns across hiring campaigns.
Data operations teams
Japan job-board pipelines
Use this Woman Type data extractor beside the Mynavi Job Scraper, Town Work Job Scraper, and En Japan Job Listings Scraper for a broader recruiting dataset.
How to use
Review the detail URLs
Open the Navigate block and keep only Woman Type job-offer URLs you are allowed to process. Add more active detail pages when you need broader keyword or category coverage.
Confirm the export path
Structured Export writes woman-type-job-details-scraper.csv with headers and append mode. Change the save folder before running client, campaign, or category-specific batches.
Run the loop
UScraper loads each page, waits up to 30 seconds for the detail header, exports the configured fields, sleeps for one second, and continues to the next URL.
Open and validate the CSV
Review row counts, Japanese text rendering, blank fields, and several source URLs before using the export for reporting, enrichment, or internal analysis.
Output preview
woman-type-job-details-scraper.csvColumn
job_category
Job family or category parsed from breadcrumbs or visible job tags.
Column
page_number
The page query value when present, otherwise 1 for direct detail URLs.
Column
job_title
Main job title from the detail page heading.
Column
company_name
Employer name shown in the detail header.
Column
employment_type
Employment type text or icon alt text, such as full-time or contract language.
Column
working_time
Working hours or schedule block from the job details.
Column
location
Workplace, office, remote, or assignment-location text.
Column
salary
Salary, monthly pay, annual pay, or compensation range as displayed.
Column
job_description
The role description block from the detail page.
Column
page_url
The full Woman Type job-offer URL processed for the row.
Sample rows
2 of many
| job_category | page_number | job_title | company_name | employment_type | working_time | location | salary | job_description | page_url |
|---|---|---|---|---|---|---|---|---|---|
| Sales | 1 | Inside sales representative for SaaS clients | Example Career Co. | Full-time employee | 9:30-18:30, flexible schedule consultation available | Tokyo, hybrid work available | Monthly salary 280,000 JPY and up | Support prospective customers, manage follow-ups, and prepare proposal notes. | |
| Office work | 1 | Customer support coordinator | Sample Service KK | Contract employee | 10:00-19:00, no night shifts | Osaka business center | Annual income 3.4M-4.2M JPY | Handle customer inquiries, update internal records, and coordinate support requests. |
The export shape comes from the workflow definition: #contents is treated as the row area, headers are enabled, and append mode stacks every configured detail page into one CSV. For setup help, install the app from the UScraper download page, or browse related workflows in the template library.
Comparison
This UScraper template
LocalCloud scraper templates
HostedRuns in your local desktop app
You can watch each Woman Type detail page load and control the approved URL list.
Runs on vendor infrastructure
Convenient for remote execution, but browser logs and job URLs pass through another service.
Writes CSV to your chosen folder
Useful when recruiting data needs review before it enters another system.
Exports through a hosted dashboard or API
Often requires accounts, credits, and a separate data-retention review.
Curated job-detail research
Good when your team already has a vetted list of Woman Type postings.
Large managed crawling jobs
Better when infrastructure management matters more than local custody.
Woman Type job pages may be publicly visible, but automated collection can still be limited by Woman Type terms, robots guidance, copyright, privacy law, employment-data rules, and local regulations. Review the source policies, keep volume modest, do not bypass access controls, and get legal review before using exported rows commercially.
Before you scale
Practical guardrails for Woman Type exports
Run polite, reviewable batches
Keep the built-in page-load wait and one-second pause, avoid parallel runs, and add more delay if Woman Type responses slow down or verification appears.
Detail-page markup can change
Empty company, salary, working-time, or description fields usually mean the page layout changed or the expected detail block was absent. Update the Structured Export columns before relying on new runs.
Job offers can disappear
Woman Type postings can close, redirect, or show partial content. Preserve export dates and verify important rows against the source page before publishing analysis.
Review source rules before commercial use
Local execution helps with custody, but it does not grant permission to republish, resell, or over-collect job data. Review Woman Type policies and your own compliance requirements first.
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