Google Scholar Scraper (Batch Generate URL)

📌 What scholarly search data can be collected from pre-generated Google Scholar result URLs?

This template collects academic search-result records from submitted Google Scholar URLs, including title, author, publication year, description, article link, citation count, version count, related-article link, current page, and full abstract when available. It is useful for academic researchers, librarians, and research intelligence teams.

Data is collected from Google Scholar. Google Scholar is an academic search service for scholarly literature, citations, authors, and related research.

💰 Pricing

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

📦 Output

Google Scholar Scraper (Batch Generate URL) returns these fields:

• Page_URL
• Current_page
• Title
• Author
• Published_year
• Description
• Article_Link
• Cited_for
• All_versions
• Related_articles_Link
• Full_Abstract

{
  "Page_URL": null,
  "Current_page": null,
  "Title": "Data mining in education",
  "Author": "C Romero, S Ventura",
  "Published_year": "2013",
  "Description": "… The goal of text mining, also referred to as text data mining or text analytics, is to derive high-quality information from text. Typical text mining tasks include text categorization, text …",
  "Article_Link": "https://wires.onlinelibrary.wiley.com/doi/abs/10.1002/widm.1075",
  "Cited_for": "1347",
  "All_versions": "5",
  "Related_articles_Link": "https://scholar.google.com/scholar?q=related:M5gg5hmoDBcJ:scholar.google.com/&scioq=data+mining&hl=en&as_sdt=0,5",
  "Full_Abstract": null
}

🎯 Use Cases

• Build literature-review datasets from titles, authors, years, and article links.
• Compare scholarly influence using citation and version counts.
• Screen papers for relevance using descriptions and full abstracts.
• Map related research using related-article links.

🐙 Why Octoparse

• Built for Google Scholar: The automation opens each submitted Google Scholar search-results URL with its existing offset, loops through the result records, visits the available abstract route when needed, and exports the configured scholarly fields.
• Inputs match the workflow: The form uses Google scholar search results URL with offset (up to 1,000,000 entries).
• Fields stay connected: Google Scholar Scraper (Batch Generate URL) returns Title, Page_URL, Description, Current_page, and Author in the same structured dataset.
• Ready for repeat use: After Google Scholar Scraper (Batch Generate URL) runs locally or in the cloud, schedule eligible tasks and export the rows for spreadsheets, dashboards, APIs, or AI workflows.

📝 Input

Complete the following fields:

• Google scholar search results URL with offset (Required) — Enter Google Scholar search result URLs that include an offset. Use the batch URL generation tool when you need to create many offset URLs. Up to 1,000,000 entries per run.

🚀 How to Use

1. Open Google Scholar Scraper (Batch Generate URL) and click Try it!.
2. Complete Google scholar search results URL with offset using the formats and limits shown in the Input section.
3. Choose a local or cloud run in Octoparse and start the task.
4. Review fields such as Title, Page_URL, and Description, then export the rows in the format you need.

💡 Tips

• Test one representative value in Google scholar search results URL with offset before submitting a large batch to Google Scholar Scraper (Batch Generate URL).
• Keep Page_URL in the export so every row can be traced to its originating input or page.

❓ FAQ

How many entries can Google Scholar Scraper (Batch Generate URL) accept in Google scholar search results URL with offset per run?

Enter up to 1,000,000 values in Google scholar search results URL with offset per run.

Which Google Scholar pages does Google Scholar Scraper (Batch Generate URL) process?

The workflow is configured for profile pages and returns fields such as Title, Page_URL, Description, and Current_page.

What can I use data from Google Scholar Scraper (Batch Generate URL) for?

Build literature-review datasets from titles, authors, years, and article links.

🔗 Related Templates

• Google Scholar Scraper — Collect Google Scholar search results directly from keywords.
• Google Scholar Scraper (Cloud) — Use the cloud Google Scholar workflow for keyword-based publication and abstract collection.
• Microsoft Research Scraper — Extend academic discovery with publication data from Microsoft Research.