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ReKatsu Job Listing Scraper

The ReKatsu Job Listing Scraper turns supplied ReKatsu job detail URLs into a structured CSV for recruiting research, labor-market tracking, and job-board QA. Import the template, add the ReKatsu pages you are allowed to process, and export company name, industry, job type, salary, location, employment type, hiring-target tags, job title, job description, and source URL without building a custom ReKatsu data extractor.

Output

CSV file

Columns

10

Input

Detail URLs

Source

ReKatsu

Template

Free import

At a glance

Export ReKatsu job details to CSV

Build a job-detail spreadsheet

Capture the fields hiring teams need after a ReKatsu listing is worth reviewing: employer, industry, role category, pay range, location, employment type, target tags, title, description, and page URL.

Use a controlled URL list

The template starts from specific /career/company/recruit/ pages instead of broad search crawling. That makes the run easier to audit, retry, and limit to approved sources.

Avoid sidebar pollution

A scoped parser reads the text after the page h1 and stops before unrelated recommendation or navigation sections, reducing noise in the exported job fields.

Keep export custody local

Navigation, waits, JavaScript parsing, and CSV output happen in UScraper on your machine. You control the input URLs, save path, pacing, and review workflow.

Who uses it

Use cases for ReKatsu job data

Recruiting teams

Shortlist review

Favorable to scraping

Turn approved ReKatsu job detail pages into a spreadsheet before outreach planning. Filter by company, salary phrase, location, employment type, and hiring-target tags instead of checking each page manually.

Labor market analysts

Weekly snapshots

Favorable to scraping

Export the same curated set of jobs over time, compare salary and location patterns, and preserve the source URL beside every row for audit trails when listings change.

Creative job researchers

Niche monitoring

Favorable to scraping

Track roles adjacent to researched terms such as webtoon jobs, manga artist jobs, comic jobs remote, or entry-level creative roles when those listings appear on ReKatsu.


How to use

Scrape ReKatsu jobs in five steps

1

Download and import

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

2

Replace the sample URLs

Open the Navigate block and paste the ReKatsu job detail URLs you are allowed to process. The starter graph includes several /career/company/recruit/ URLs so you can test the loop immediately.

3

Confirm the save folder

Structured Export writes re_katsu_job_listing_scraper_final.csv with headers and append mode. Change the folder if your team stores job-board exports in a shared research location.

4

Run the detail-page loop

UScraper opens each URL, waits for the page and visible h1, runs the scoped parser, exports the configured columns, sleeps briefly, and advances to the next input URL.

5

Open and verify the CSV

Load the file in Excel, Sheets, or your BI tool. Compare a sample of rows against ReKatsu before using the data for reporting, sourcing, or downstream enrichment.

Output preview

What the ReKatsu CSV includes

re_katsu_job_listing_scraper_final.csv
CSV - UTF-8 - Append

Column

company_name

Employer name parsed from the page metadata or title text.

Column

industry

Industry field from the job header section.

Column

job_type

Role category or occupation text from the detail page.

Column

annual_salary

Initial annual salary range when ReKatsu exposes it.

Column

location

Work location text, normalized from the current job header.

Column

employment_type

Employment type such as permanent, contract, dispatch, part-time, or outsourcing text.

Column

hiring_target

Tags such as second-new-graduate welcome, no industry experience, no relocation, or similar labels.

Column

job_title

Cleaned job title with company text removed where possible.

Column

job_description

Main job description section before application conditions or work-condition sections.

Column

page_url

Full ReKatsu detail URL processed for the row.

Sample rows

2 of many

company_nameindustryjob_typeannual_salarylocationemployment_typehiring_targetjob_titlejob_descriptionpage_url
Sample Media Co.Web services / advertisingPlanning / sales support300-450万円Tokyo / remote consultation正社員第二新卒歓迎, 職種未経験歓迎Web media account plannerSupport client proposals, campaign reporting, and content coordination.
Example Creative StudioEntertainment / digital contentProduction assistant280-380万円Osaka契約社員業種未経験歓迎, 転勤の心配なしManga and web content operationsCoordinate schedule updates, creator communication, and content checks.
Headers included - one row per supplied ReKatsu detail URL - sample values are illustrative

Because the workflow appends rows, keep separate files for separate research projects or clear the CSV before a fresh benchmark. If you need search-result discovery before detail extraction, pair this page with adjacent job-board workflows such as the Stanby Jobs Scraper, Town Work Job Scraper, Yahoo Jobcatalog List Scraper, or browse the full UScraper template library.


Frequently asked questions

ReKatsu job pages may be publicly reachable, but automated collection can still be restricted by ReKatsu terms, robots directives, copyright, privacy law, database rights, and local rules. Review the source policies, keep request volume modest, avoid bypassing access controls, and get legal advice before using the export commercially.

Before you scale

Limits and maintenance notes

Practical guardrails for ReKatsu exports

Rate limits

Run small, polite URL batches

Keep the built-in waits, avoid parallel runs, and add more delay if ReKatsu pages load slowly or show verification. A measured URL list is easier to debug than a large unattended queue.

Layout drift

ReKatsu page structure can change

The parser reads current job-detail text around the heading and known Japanese labels. If salary, industry, location, or description fields become blank across many rows, update the JavaScript parser and Structured Export columns.

Access

CAPTCHA or login prompts can interrupt runs

Public pages may occasionally show CAPTCHA or sign-in prompts. Stop the run, handle the prompt manually when appropriate, and do not add logic that bypasses access controls.

Policy

Review ReKatsu terms before commercial use

Local custody helps with data handling, but it does not grant permission to republish, resell, or over-collect job listings. Review ReKatsu policies and your own compliance rules before operational use.

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

Here are some of our most common questions. Can't find what you're looking for?

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