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Google Scholar Scraper (Cloud)

EducationMCPMCP
Scrape article title, author, description, etc from Google Scholar by keyword.
Access Level
Run Mode
$0.7/1000 lines
Cost of Usage
2026/08/19
Last updated
Try it!

📌 How can you collect full scholarly abstracts by keyword?

This template collects the full abstract available for each Google Scholar search result returned by the keyword workflow. It is useful for academic researchers, literature review teams, and research intelligence analysts.

Data is collected from Google Scholar. Google Scholar is an academic search service for scholarly articles, authors, citations, related works, and abstracts.

💰 Pricing

Current price: $0.7/1,000 lines. Billing is based on the number of output lines produced by the task.

📦 Output

The current published implementation can return the following fields:

  • Full_Abstract
{
  "Full_Abstract": null
}

🎯 Use Cases

  • Screen scholarly results for relevance using full abstract text.
  • Prepare abstract corpora for topic classification.
  • Compare terminology across research abstracts.
  • Build text datasets for literature-review analysis.

🐙 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: Run the ready-made task in the cloud without keeping a local computer online for the collection.
  • 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:

  • Language (Optional) — Language. Available options: 한국어, 日本語, 中文 (繁體), Català, Čeština, Dansk, English, Français, Filipino, Hrvatski, Deutsch, Español, Indonesia, Latviešu, Magyar, Lietuvių, Italiano, Norsk, Polski, Português (Brasil), Português (Portugal), Nederlands, Română, Svenska, Slovenčina, Suomi, Tiếng Việt, Slovenščina, Türkçe, Ελληνικά, Български, Русский, עברית‎, ﺎﻠﻋﺮﺒﻳﺓ‎, ﻑﺍﺮﺳی‎, हिन्दी, Српски, ไทย, Українська.
  • Keyword (Required) — Keyword. Up to 10,000 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 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 Octoparse collect data from Google Scholar?

The Python automation applies the selected Google Scholar language, searches each submitted keyword, paginates through results, parses each scholarly record, requests the available abstract detail route, and uploads one structured row per result.

What input does this Google Scholar Scraper (Cloud) require?

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

What data can I extract from Google Scholar?

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.

How much does this Google Scholar Scraper (Cloud) cost?

The current price is $0.7/1,000 lines, and billing is based on the number of output lines produced by the task.

Why can some Google Scholar 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 Google Scholar data?

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

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