Recruiting teams
Role benchmarking
Compare salary text, required experience, location language, and benefits across approved Rikunabi NEXT job pages before shaping a hiring brief.
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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.
CSV
20
Multi-URL
Load + text
Free import
At a glance
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
Recruiting teams
Role benchmarking
Compare salary text, required experience, location language, and benefits across approved Rikunabi NEXT job pages before shaping a hiring brief.
Market researchers
Hiring snapshots
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
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
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.
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.
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.
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
Navigate
Load each reviewed Rikunabi NEXT detail URL from the multi-URL Navigate block.
Wait and verify
Wait for page load, visible body text, and the application CTA text so the job-detail page has settled before extraction.
Structured export
Read the scoped page text, extract labeled Japanese job sections, append the row to CSV, then continue the loop.
Output preview
rikunabi_next_job_scraper_refined.csvColumn
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 |
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.
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
Operational guardrails for Rikunabi NEXT exports
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.
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.
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.
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