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JobsMCP

This is a template for extracting brief job information data from BAITORU.

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BAITORU Job Scraper

📌 What can you collect with BAITORU Job Scraper?

This template collects brief job information data from BAITORU.

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

💰 Pricing

Current price: $0.05/1,000 lines. Billing is based on the number of output lines produced by the task.

📦 Output

BAITORU Job Scraper returns these fields:

  • カテゴリー
  • 職種
  • バイト名
  • 詳細リンク
  • 店名
  • 勤務地
  • 勤務種類
  • 給与
  • 勤務時間
  • 特徴

Example Output:

{
  "カテゴリー": "家電販売",
  "職種": "家電販売、案内(インフォメーション/レセプション)・フロント、レジ打ち",
  "バイト名": "＜オープニング＞”好き”を活かして働ける♪ガジェット販売",
  "詳細リンク": "https://www.baitoru.com/tokai/jlist/aichi/nagoyashi/nagoyashinakaku/osu/job126879673/",
  "店名": "じゃんぱら 名古屋大須アメ横店",
  "勤務地": "愛知県名古屋市中区 ⁄ 上前津駅（徒歩5分）",
  "勤務種類": "ア・パ",
  "給与": "時給1,200円～1,350円",
  "勤務時間": "09:30～20:30",
  "特徴": null
}

🎯 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 Baitoru workflow: Enter URL, Max Pages to Scrape (Optional), run BAITORU Job Scraper, and review the structured rows returned for each source record.
  • Useful results: The returned カテゴリー, 職種, バイト名, 詳細リンク, 店名, 勤務地, 勤務種類, 給与, 勤務時間, and 特徴 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 and Output

Input

{
  "uRL": [
    "https://www.baitoru.com/tohoku/jlist/hokkaido/sapporoshi/barista"
  ],
  "max_Pages_to_Scrape": 1
}

Output

[
  {
    "カテゴリー": "コンビニ・他",
    "バイト名": "未経験歓迎！ライフスタイルに合わせて働ける！",
    "勤務地": "北海道 札幌市中央区 / さっぽろ駅 (徒歩2分) ほか",
    "勤務時間": "07:00～08:00、07:00～10:00、07:00～12:00、12:00～17:00、17:00～20:00",
    "勤務種類": "アルバイト・パート",
    "店名": "ローソン　ＤーＬＩＦＥＰＬＡＣＥ札幌店",
    "特徴": "シフト相談、週1〜OK、週2・3〜OK、週4〜OK、〜4h/日、〜6h/日、未経験OK、主婦(夫)、学生、高校生、ミドル、交通費有",
    "給与": "時給1,280円~、時給1,150円~、時給1,131円~",
    "職種": "レジ打ち、品出し(ピッキング)、販売その他",
    "詳細リンク": "https://www.baitoru.com/jobdetail/165503708"
  }
]

📝 Input

  • URL (required): Enter one or more values, one per line.
  • Max Pages to Scrape (Optional) (optional): Enter a number.

🚀 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

  • BAITORU Job Scraper collects the fields listed in Output from search results pages; it does not add data that Baitoru does not display.
  • Fields such as 給与, 勤務時間, and 特徴 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 URL to reduce unrelated or duplicate records.
  • Use a stable URL or identifier from カテゴリー, 職種, バイト名, 詳細リンク, 店名, 勤務地, 勤務種類, 給与, 勤務時間, and 特徴 as the deduplication key when available.

❓ FAQ

Does BAITORU 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 BAITORU Job Scraper?

Yes. You can schedule BAITORU 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 BAITORU Job Scraper cost?

The current price is $0.05 / 1,000 lines, and billing is based on the number of output lines produced by the task.

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