Recruiting teams
Shortlist review
Turn selected Doda postings into comparable rows before routing roles to sourcers, translators, hiring managers, or agency partners.
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The Doda job listing scraper turns a reviewed Doda job detail URL into a structured CSV for recruiting research, labor-market tracking, and spreadsheet analysis. Import the template into UScraper, replace the sample Doda URL with an active posting, and export company name, job title, tags, description, location, nearest station, salary information, business content, and source URL from the local desktop app.
CSV
10
Detail URL
Page + body
Free import
At a glance
Export the fields recruiters compare
The template captures the core Doda job fields that survive spreadsheet review: employer, role label, tags, description, work location, station access, compensation, business overview, and detail URL.
Keep the run local
The browser session runs in the desktop app, and the CSV lands in the folder you configure. Your target URL list and Doda export stay under your control unless you add your own sharing step.
Handle expired postings cleanly
The sample analyzed URL returned an expired-posting state, so the workflow includes posting_status and avoids filling useful columns with generic navigation text.
Designed for repeatable research
Use the same graph for competitor hiring checks, role snapshots, salary research, or archived evidence when analysts need a consistent Doda data extractor instead of copied page text.
Who uses it
Recruiting teams
Shortlist review
Turn selected Doda postings into comparable rows before routing roles to sourcers, translators, hiring managers, or agency partners.
Market researchers
Hiring snapshots
Compare salary language, station access, company descriptions, and job-positioning patterns across reviewed listings without maintaining a custom scraper.
Data operations teams
CSV pipelines
Standardize a detail-page export, then combine it with sibling workflows such as the En Japan Job Listings Scraper, Hello Work Japan Job Listings Scraper, or Indeed Japan Job Scraper.
How to use
Replace the Doda URL
Open the Navigate block and replace the sample doda.jp/DodaFront/View/JobSearchDetail/... URL with an active Doda job detail page your team has approved for collection.
Confirm the save folder
The Structured Export block writes doda-job-listing-scraper.csv with headers. Change the save location if your team keeps recruiting exports in a shared workspace.
Run the browser flow
UScraper sets the viewport, navigates to the page, waits for load, waits for body, pauses briefly, then exports the configured columns.
Open and validate the output
Review the first row for posting_status, blank cells, Japanese text encoding, and source URL accuracy before repeating the run for more detail pages.
Automation path inside the template
Navigate
Load one reviewed Doda job detail URL in a fixed desktop viewport.
Wait and settle
Wait for the page load event, wait for the visible body, and pause briefly so late-rendered job sections can appear.
Structured export
Read the page body, detect expired-posting states, extract labeled job fields, and create the CSV.
Output preview
doda-job-listing-scraper.csvColumn
posting_status
active_or_unknown, expired, or not_job_detail_or_expired.
Column
company_name
Company, employer, or organization name when the detail page exposes it.
Column
label
Primary job title or detail-page title.
Column
tags
Visible job tags, badges, or condition labels.
Column
job_description
Main role description or duties section.
Column
location
Work location, office address, or workplace block.
Column
nearest_station
Nearest station, access, transit, or commute information.
Column
salary_info
Salary, annual income, monthly pay, or wage text.
Column
business_content
Business overview or company activity description.
Column
detail_page_url
Original Doda detail URL for audit and review.
Sample rows
2 of many
| posting_status | company_name | label | tags | job_description | location | nearest_station | salary_info | business_content | detail_page_url |
|---|---|---|---|---|---|---|---|---|---|
| active_or_unknown | Example Tech Recruiting Co. | Backend Engineer for HR Platform | Remote option, flex time, listed salary | Build API services, improve search features, and support product analytics. | Tokyo, Shibuya-ku | Shibuya Station, 6 minutes on foot | Annual salary 5,000,000-7,500,000 JPY | Recruiting software and HR data services | |
| expired |
The export mirrors the JSON workflow: one page body is treated as one row, each custom column reads a labeled section or safe fallback, and posting_status explains why an unavailable page may produce mostly blank fields. Browse more job-board workflows in the UScraper template library, or install the app from UScraper download before importing the template.
Doda pages may be publicly visible, but automated collection is still governed by Doda terms, robots guidance, copyright, privacy law, employment-data rules, and local regulations. Keep runs modest, do not bypass access controls, preserve source URLs, and get legal review before commercial reuse.
Before you scale
Operational guardrails for Doda exports
Use reviewed URLs and modest batches
Start with one active detail page. If you adapt the graph for multiple URLs, keep waits in place, avoid parallel runs, and stop when pages slow down or show verification.
Selectors can drift after Doda redesigns
The workflow reads visible labels such as company, salary, location, station access, and business content. Empty columns usually mean the source page changed or the posting expired.
Treat job data as compliance-sensitive
Review Doda terms, robots guidance, privacy obligations, and client contracts before redistributing exported job content. Keep detail_page_url in every row for traceability.
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