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Rikunabi NEXT Job Scraper by URL

The Rikunabi NEXT job scraper exports reviewed Rikunabi NEXT job-detail URLs into a structured CSV for recruiting research, competitor hiring analysis, and spreadsheet workflows. Import the template into UScraper, replace or extend the supplied /viewjob/ URLs, and collect company details, job requirements, location, salary, working hours, benefits, contact information, and source URLs without writing a custom crawler.

Output

CSV

Columns

20

Input

Multi-URL

Waits

Load + text

Template

Free import

At a glance

A Rikunabi NEXT data extractor for job detail URLs

Export job and company fields

Capture the sections teams usually compare: employer, homepage, company profile page, phone or contact block, posting period, duties, requirements, work location, salary, hours, holidays, benefits, capital, revenue, headcount, office location, industry, and page URL.

Process reviewed URL lists

The Navigate block contains multiple active /viewjob/ URLs. UScraper runs each page through the same waits and export block, then Loop Continue advances to the next URL.

Keep exports local

The browser session and CSV write run in the desktop app. Your URL list and output file stay in the save folder you configure unless you add your own sync or upload step.

Scoped to the main job page

Extraction is limited to the current job summary and labeled job sections before recommendation modules, footer links, and related-search content.

Who uses it

Use cases for Rikunabi NEXT jobs export

Recruiting teams

Role benchmarking

Favorable to scraping

Compare salary text, required experience, location language, and benefits across approved Rikunabi NEXT job pages before shaping a hiring brief.

Market researchers

Hiring snapshots

Favorable to scraping

Build repeatable snapshots of company hiring pages and keep the original job URL with every row for audit-friendly research.

Data operations teams

CSV workflows

Nuanced outcome

Use the template when analysts need export Rikunabi NEXT jobs output for spreadsheets, but engineering does not want to maintain a dedicated scraper service.

For adjacent Japan job-board datasets, pair this workflow with the Haken Rikunabi Job Scraper, Doda Job Listing Scraper, and Hello Work Japan Job Listings Scraper. Browse more options in the UScraper template library.


How to use

Export Rikunabi NEXT jobs to CSV

1

Download and import

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

2

Review the URL list

Open the Navigate block and replace stale examples with current, approved next.rikunabi.com/viewjob/... URLs. Older sample URLs can return 404, so test the first page before a batch.

3

Confirm the export path

Structured Export writes rikunabi_next_job_scraper_refined.csv with headers and append mode. Change the save folder before client, region, or campaign-specific runs.

4

Run the loop

UScraper navigates to each URL, waits for page load, waits for body, waits for 応募画面へ進む, sleeps for one second, and exports the configured fields.

5

Open and validate the CSV

Spot-check Japanese text encoding, blank fields, the ページURL column, and row counts before using the dataset in reporting or downstream enrichment.

Automation path inside the template

  1. 1

    Navigate

    Load each reviewed Rikunabi NEXT detail URL from the multi-URL Navigate block.

  2. 2

    Wait and verify

    Wait for page load, visible body text, and the application CTA text so the job-detail page has settled before extraction.

  3. 3

    Structured export

    Read the scoped page text, extract labeled Japanese job sections, append the row to CSV, then continue the loop.

Output preview

What the Rikunabi NEXT CSV includes

rikunabi_next_job_scraper_refined.csv
CSV - UTF-8 - Append

Column

会社名

Employer or organization name parsed from the job summary or posting metadata.

Column

会社ホームページ

Company website URL when a homepage link is visible.

Column

企業ページ

Rikunabi NEXT company profile URL when present.

Column

連絡先

Representative phone or contact block if exposed on the posting.

Column

掲載期間

Posting start period or publication block.

Column

仕事の内容

Main job duties or work description.

Column

求めている人材

Required skills, experience, qualifications, or preferred candidate profile.

Column

勤務地

Work location or office area.

Column

給与

Salary, annual income, monthly pay, hourly wage, or commission text.

Column

勤務時間

Working hours or schedule block.

Column

待遇福利厚生

Benefits, treatment, welfare, and employment-condition text.

Column

ページURL

Original detail page URL for traceability.

Sample rows

1 of many

会社名会社ホームページ企業ページ連絡先掲載期間仕事の内容求めている人材勤務地給与勤務時間待遇福利厚生ページURL
株式会社サンプルテック03-0000-0000掲載開始日:2026/05/20(水)法人向けSaaSの営業企画、顧客提案、導入支援を担当。営業経験3年以上、ITサービスへの理解、普通自動車免許歓迎。東京都渋谷区月給35万円以上09:00-18:00社会保険完備、交通費支給、研修制度あり
Headers included - one row per supplied Rikunabi NEXT job-detail URL

The workflow also exports 休日休暇, 代表者, 資本金, 売上高, 従業員数, 事業所, and 業種 when those labeled sections are available. Treat the CSV as a raw research file first, then normalize salary ranges, addresses, industries, and benefits in a second worksheet if your reporting model needs strict categories.


Frequently asked questions

Rikunabi NEXT pages may be publicly visible, but automated collection can still be limited by site terms, robots guidance, copyright, database rights, privacy rules, and employment-data regulations. Use reviewed URLs, keep volume modest, avoid bypassing access controls, and get legal review before commercial reuse.

Before you scale

Limits and maintenance notes

Operational guardrails for Rikunabi NEXT exports

Rate limits

Use active URLs and polite pacing

Start with a small URL set, keep the built-in waits, and avoid parallel runs. Slow loads, verification screens, or repeated empty rows are signals to pause and review access.

Layout drift

Japanese labels can change after redesigns

The custom columns read labeled sections such as 仕事内容, 勤務地, 給与, and 待遇・福利厚生. Empty fields usually mean the page expired, the layout changed, or the label text needs maintenance.

Compliance

Treat job data as governed content

Review Rikunabi NEXT terms, robots guidance, privacy obligations, client contracts, and employment-data rules before redistributing or selling exported rows.

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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