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Hello Work Job Details Scraper

The Hello Work job details scraper turns supplied official detail-page URLs into a structured CSV for recruiting research, labor-market analysis, and internal review. Import the template, replace the sample Hello Work URLs with current job detail links, then export job number, employer, workplace, occupation, pay, contact fields, company identifiers, and source URL through the local desktop app.

Output

CSV

Columns

18

Input

Detail URLs

Waits

Page + container

Template

Free

At a glance

A Hello Work data extractor for detail pages

Export employer and job fields together

The CSV combines job fields such as occupation, work description, employment type, workplace, and base pay with establishment fields such as company name, address, corporate number, representative, website, phone, fax, and email.

Use your own URL batch

The Navigate block already works like URL input mode. Replace or extend navigate.urls with fresh Hello Work detail pages and the loop processes them one by one.

Keep the run local

The browser session and CSV export run on your machine in the local desktop app. That makes the workflow easier to inspect before a recruiting, market research, or compliance team relies on the file.

Readable automation graph

Set window size, Navigate, Wait for Page Load, Wait for Element, Inject JavaScript, Structured Export, Sleep, Loop Continue. Each block has a narrow role, so maintenance is practical when the source page changes.

Who this helps

Use cases for Hello Work job detail data

Recruiting teams

Role benchmarking

Favorable to scraping

Build a spreadsheet of official job details for a target occupation, then compare employer names, listed pay, work locations, and job descriptions before adjusting hiring plans.

Market analysts

Labor demand snapshots

Favorable to scraping

Collect consistent detail-page fields across regions or industries and group the CSV by occupation, establishment, workplace, or employment type.

Operations teams

Audit trails

Nuanced outcome

Preserve source URLs and job numbers beside extracted fields, so reviewers can spot-check rows against the original Hello Work page before downstream reporting.


How to use

Export Hello Work job details to CSV

1

Download and import

Use the Download Free button to import the hosted JSON template into UScraper.

2

Replace the sample URLs

Open the Navigate block and replace the expired sample links with current Hello Work detail-page URLs. Keep only URLs you are allowed to access and review.

3

Check the save path

Structured Export writes hellowork-job-listings-url-scraper.csv in append mode. Point it to the folder where your team stores raw exports.

4

Run the loop

The workflow navigates to a URL, waits for the page to load, waits for #container, runs a small extraction helper, and exports the configured fields.

5

Review the first rows

Open the CSV and verify Japanese text, blank columns, job numbers, and source URLs before adding a larger batch.

Output preview

What the Hello Work CSV contains

hellowork-job-listings-url-scraper.csv
CSV - UTF-8 - Append

Column

求人番号

Hello Work job number; the template can fall back to kJNo from the URL.

Column

産業分類

Industry classification when visible on the detail page.

Column

事業所番号

Establishment number.

Column

事業所名

Employer or office name.

Column

ホームページ

Employer website when listed.

Column

所在地

Registered office or establishment address.

Column

代表者名

Representative name when present.

Column

法人番号

Corporate number for matching against company records.

Column

求人職種

Job occupation or role title.

Column

仕事内容

Work description from the detail page.

Column

雇用形態

Employment type.

Column

就業場所

Workplace or assigned location.

Column

基本給_a

Base pay field.

Column

従業員数

Employee count when visible.

Column

電話番号

Phone number.

Column

FAX

Fax number.

Column

Eメール

Email address when listed.

Column

URL

Original detail-page URL.

Sample rows

2 of many

求人番号産業分類事業所番号事業所名ホームページ所在地代表者名法人番号求人職種仕事内容雇用形態就業場所基本給_a従業員数電話番号FAXEメールURL
13080-12345661情報サービス業1308-000001-0株式会社サンプル東京都新宿区西新宿1-1-1山田 太郎1010000000000一般事務書類作成、電話対応、データ入力正社員東京都新宿区220,000円45人03-0000-000003-0000-0001?...
27020-65432161医療,福祉2702-000002-0サンプルケア合同会社大阪府大阪市北区梅田2-2-2佐藤 花子2120000000000介護スタッフ施設利用者の生活支援、記録作成パート労働者大阪府大阪市北区1,250円18人06-0000-0000?...
Headers included - one row per supplied Hello Work detail URL

For related recruiting workflows, pair this detail extractor with the Hello Work Japan Job Listings Scraper, Hellowork Scraper for Job Listings, and Indeed Japan Job Scraper. Browse the full UScraper template library or install the app from UScraper download.


Frequently asked questions

Hello Work pages may be public, but automated collection can still be limited by site terms, robots guidance, copyright, database rights, privacy rules, and employment-data regulations. Keep volumes reasonable, do not bypass CAPTCHA or access controls, and get legal review before redistributing or commercializing exported job data.

Before you scale

Practical limits and maintenance

Guardrails for reliable Hello Work exports

Access

Pause for CAPTCHA or verification screens

The workflow may require manual solving when Hello Work presents a challenge. Do not add logic intended to bypass technical safeguards.

Freshness

Expired detail URLs can return blank fields

The bundled sample URLs may be deleted or expired. Use current detail links, then verify the first rows before running a larger batch.

Compliance

Use official or licensed routes for production feeds

This template is useful for controlled review and internal analysis. For recurring commercial ingestion, compare the local workflow with official Hello Work data routes and your legal obligations.

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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