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

The current published implementation can return the following 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

• Ready-to-use workflow: The extraction steps for Google Scholar are already configured, so you do not need to build the scraper from scratch.
• Flexible execution: Choose the supported local or cloud run mode to fit one-off checks or repeatable collection work.
• Structured, repeatable output: Results are returned as consistent rows that are easier to compare, filter, deduplicate, and process than manually copied pages.
• Verified input guardrails: The form exposes the current inputs, selectable values, and meaningful limits configured for this template.
• Practical data handoff: Review results in Octoparse and export or process them using the options supported by your Octoparse environment.

📝 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 the template and select Try it or Start.
2. Complete the input fields listed above.
3. Start the task using the supported local or cloud run mode.
4. Review the output rows and export or process the structured data.

⚠️ Limitations

Results depend on what the source site exposes at run time. A listed output field can be empty when the source page does not provide that value. Input limits shown above are enforced by the template.

💡 Tips

Use specific, valid inputs and review a representative result before starting a large batch. Remove duplicate inputs when repeated records are not needed.

❓ FAQ

How does this scraper work?

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.

What do I need to enter?

Use the fields and accepted values shown in the Input section. Only user-relevant limits and selectable options are listed.

What data does this template return?

The current output fields and a representative JSON Data Preview are listed in the Output section. Field availability can vary when the source page does not display a value.

Is this template free to use?

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

Why can some output fields be empty?

Source pages do not always expose every value for every record, and layouts can vary by item, market, or current site response. The template returns a field when the current page provides it.

Can I export the collected data?

You can review the structured rows in Octoparse and export or process them using the options supported by your Octoparse environment.

🔗 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.