Recruiting teams
Role benchmarking
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.
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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.
CSV
18
Detail URLs
Page + container
Free
At a glance
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
Recruiting teams
Role benchmarking
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
Collect consistent detail-page fields across regions or industries and group the CSV by occupation, establishment, workplace, or employment type.
Operations teams
Audit trails
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
Download and import
Use the Download Free button to import the hosted JSON template into UScraper.
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.
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.
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.
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
hellowork-job-listings-url-scraper.csvColumn
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 | FAX | E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 | 03-0000-0000 | 03-0000-0001 | ?... | ||
| 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 | ?... |
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.
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
Guardrails for reliable Hello Work exports
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.
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.
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.
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