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Doda Job Listing Scraper

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.

Output

CSV

Columns

10

Input

Detail URL

Waits

Page + body

Template

Free import

At a glance

A practical Doda data extractor for job detail pages

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

Use cases for Doda job listing exports

Recruiting teams

Shortlist review

Favorable to scraping

Turn selected Doda postings into comparable rows before routing roles to sourcers, translators, hiring managers, or agency partners.

Market researchers

Hiring snapshots

Favorable to scraping

Compare salary language, station access, company descriptions, and job-positioning patterns across reviewed listings without maintaining a custom scraper.


How to use

Export Doda jobs to CSV in five steps

1

Download and import

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

2

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.

3

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.

4

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.

5

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

  1. 1

    Navigate

    Load one reviewed Doda job detail URL in a fixed desktop viewport.

  2. 2

    Wait and settle

    Wait for the page load event, wait for the visible body, and pause briefly so late-rendered job sections can appear.

  3. 3

    Structured export

    Read the page body, detect expired-posting states, extract labeled job fields, and create the CSV.

Output preview

What the Doda CSV includes

doda-job-listing-scraper.csv
CSV - UTF-8 - Create

Column

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_statuscompany_namelabeltagsjob_descriptionlocationnearest_stationsalary_infobusiness_contentdetail_page_url
active_or_unknownExample Tech Recruiting Co.Backend Engineer for HR PlatformRemote option, flex time, listed salaryBuild API services, improve search features, and support product analytics.Tokyo, Shibuya-kuShibuya Station, 6 minutes on footAnnual salary 5,000,000-7,500,000 JPYRecruiting software and HR data services
expired
Headers included - one row per supplied Doda job detail URL

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.


Frequently asked questions

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

Limits and maintenance notes

Operational guardrails for Doda exports

Pacing

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.

Layout

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.

Policy

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.

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.

Contribute on GitHub

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FAQ

Frequently asked questions

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