Google Scholar Article Scraper (for Japan)

📌 What can you collect with Google Scholar Article Scraper (for Japan)?

This template collects article information (title, author, article URL, etc.) from Google Scholar via keywords.

Data is collected from Google. Google is a publishing or news service where readers discover articles, topics, authors, and current information.

💰 Pricing

This template currently has no per-line charge.

📦 Output

Google Scholar Article Scraper (for Japan) returns these fields:

• タイトル
• 著者
• 概要
• 記事URL
• 被引用数
• バージョン数
• 関連記事URL

Example Data Preview:

{
  "タイトル": "アプリケーション連携システムのスクリーン・スクレイピングを用いたデバッグシステム",
  "著者": "西村紅美， 塚本享治",
  "概要": "論文抄録 インターネット上にあるアプリケーションの多くは, 複数の Web ページから構成されている. アプリケーションから情報を取得するためには, HTML の構造の問題から, 必要な部分のみを抽出…",
  "記事URL": "https://ipsj.ixsq.nii.ac.jp/ej/?action=pages_view_main&active_action=repository_view_main_item_detail&item_id=61980&item_no=1&page_id=13&block_id=8",
  "被引用数": "3",
  "バージョン数": "3",
  "関連記事URL": "https://scholar.google.co.jp/scholar?q=related:meUHVGoSABYJ:scholar.google.com/&scioq=%E3%82%B9%E3%82%AF%E3%83%AC%E3%82%A4%E3%83%94%E3%83%B3%E3%82%B0+&hl=ja&as_sdt=0,5"
}

🎯 Use Cases

• Build article datasets with titles, sources, authors, dates, and URLs.
• Monitor coverage of selected topics or publishers over time.
• Compare publication patterns across searches or categories.
• Export structured content records for research or downstream analysis.

🐙 Why Octoparse

• Ready-to-use Google workflow: Enter keyword (up to 5000 per run), run Google Scholar Article Scraper (for Japan), and review the structured rows returned for each source record.
• Useful results: The returned タイトル, 著者, 概要, 記事URL, 被引用数, バージョン数, and 関連記事URL fields support comparison, monitoring, and reusable data workflows.
• Local runs: Run this template locally with the Octoparse desktop app.
• 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

• keyword (up to 5000 per run) (required): Enter one or more values, one per line.

🚀 How to Use

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

⚠️ Limitations

• Google Scholar Article Scraper (for Japan) runs locally, so keep your computer and Octoparse open while the task is running.
• Fields such as 被引用数, バージョン数, and 関連記事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 keyword (up to 5000 per run) to reduce unrelated or duplicate records.
• Use a stable URL or identifier from タイトル, 著者, 概要, 記事URL, 被引用数, バージョン数, and 関連記事URL as the deduplication key when available.

❓ FAQ

Does Google Scholar Article Scraper (for Japan) 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 Google Scholar Article Scraper (for Japan)?

Yes. You can schedule Google Scholar Article Scraper (for Japan) as a local run and export the collected data from Octoparse. Keep your computer and Octoparse open during scheduled local runs. Scheduling may require a paid Octoparse plan.

How much does Google Scholar Article Scraper (for Japan) cost?

This template is currently free of charge and has no per-line usage fee. Octoparse plan or resource limits may still apply.