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Haken Rikunabi Job Scraper

JobsMCP
This is a template for extracting job and employment information (such as company name, salary, and job description) from Haken Rikunabi by URL.
Standard et plus
Niveau d'accès
Mode supporté
$0.1/1000 lignes
Coût d'usage
2026/09/17
Dernière mise à jour
Essayez-le !

Haken Rikunabi Job Scraper

📌 What can you collect with Haken Rikunabi Job Scraper?

This template collects job and employment information (such as company name, salary, and job description) from Haken Rikunabi by URL.

Data is collected from Rikunabi. Rikunabi is a job and employment platform where people discover roles, employers, locations, salaries, and application information.

💰 Pricing

Current price: $0.1/1,000 lines. Billing is based on the number of output lines produced by the task.

📦 Output

Haken Rikunabi Job Scraper returns these fields:

  • 会社名
  • 職務
  • 勤務地
  • 時給
  • 対象となる方
  • 仕事内容
  • ページのURL

Example Data Preview:

{
  "会社名": "株式会社3000リクルートスタッフィング",
  "職務": "社員前提!駅からスグ!朝9時半出社!本郷での経理事務",
  "勤務地": "東山線3000本郷(愛知県)3000徒歩5分3000※車通勤可能",
  "時給": "1600円",
  "対象となる方": "【必要なスキル】日商簿記2級、月次決算",
  "仕事内容": null,
  "ページのURL": "https://haken.rikunabi.com/T/agency/0383146252/"
}

🎯 Use Cases

  • Build job datasets for role, employer, location, and compensation research.
  • Compare hiring activity across searches, companies, or locations.
  • Monitor new or changing vacancies over repeated runs.
  • Export job URLs and structured fields for recruiting or market-analysis workflows.

🐙 Why Octoparse

  • Ready-to-use Rikunabi workflow: Enter Enter URL (up to 10,000 per run), Number of pages (1~100), run Haken Rikunabi Job Scraper, and review the structured rows returned for each source record.
  • Useful results: The returned 会社名, 職務, 勤務地, 時給, 対象となる方, 仕事内容, and ページのURL fields support comparison, monitoring, and reusable data workflows.
  • Cloud runs: Run this template in the cloud without keeping a local computer online.
  • Export and reuse: Export the rows to CSV, Excel, JSON, databases, or cloud storage, or send them to reporting and AI workflows through Octoparse APIs.

You can schedule recurring runs, export the collected data, and reuse it through Octoparse OpenAPI or the AgentTools API. Scheduling and API access may require a paid Octoparse plan.

📝 Input

  • Enter URL (up to 10,000 per run) (required): Enter one or more values, one per line.
  • Number of pages (1~100) (optional): Enter a number from 1 to 10000.

🚀 How to Use

  1. Open the template and select Try it or Start.
  2. Complete the input fields listed above.
  3. Run the task in the cloud.
  4. Review the output rows and export or process the structured data.

⚠️ Limitations

  • Haken Rikunabi Job Scraper collects the fields listed in Output from listing pages; it does not add data that Rikunabi does not display.
  • Fields such as 対象となる方, 仕事内容, and ページのURL can be empty when the source record does not provide them.

💡 Tips

  • Start with one or a few inputs and review the returned rows before scaling the task.
  • Use the most specific valid Enter URL (up to 10,000 per run) to reduce unrelated or duplicate records.
  • Use a stable URL or identifier from 会社名, 職務, 勤務地, 時給, 対象となる方, 仕事内容, and ページのURL as the deduplication key when available.

❓ FAQ

Does Haken Rikunabi Job Scraper collect complete detail-page data?

No. It collects the listing or search-result fields shown in Output; use a detail-page template when deeper record data is required.

Can I schedule and export data collected by Haken Rikunabi Job Scraper?

Yes. You can schedule Haken Rikunabi Job Scraper to run automatically in the cloud and export the collected data from Octoparse. Scheduling may require a paid Octoparse plan.

How much does Haken Rikunabi Job Scraper cost?

The current price is $0.1 / 1,000 lines, and billing is based on the number of output lines produced by the task.

  • Mynavi Job Scraper - Use Mynavi Job Scraper for a comparable jobs collection scenario on another source.
  • Doda Job Listing Scraper - Use Doda Job Listing Scraper for a comparable jobs collection scenario on another source.
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