logo
languageENdown
menu
Template GalleryTemplate Details

Google Scholar Scraper (Cloud)

EducationMCP
Scrape article title, author, description, etc from Google Scholar by keyword.
Access Level
Run Mode
$0.7/1000 lines
Cost of Usage
2026/09/02
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

Google Scholar Scraper (Cloud) returns these 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

  • Built for 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.
  • Inputs match the workflow: The form uses Language and Keyword (up to 10,000 entries).
  • Fields stay connected: Google Scholar Scraper (Cloud) returns Full_Abstract in the same structured dataset.
  • Ready for repeat use: After Google Scholar Scraper (Cloud) runs in the cloud, schedule eligible tasks and export the rows for spreadsheets, dashboards, APIs, or AI workflows.

📝 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 Google Scholar Scraper (Cloud) and click Try it!.
  2. Complete Language and Keyword using the formats and limits shown in the Input section.
  3. Run it in the Octoparse cloud and start the task.
  4. Review fields such as Full_Abstract, then export the rows in the format you need.

💡 Tips

  • Start with a small, representative Language selection before scaling the task.
  • Use Full_Abstract when checking duplicates or comparing repeated exports.

❓ FAQ

What do I enter in Google Scholar Scraper (Cloud)?

Complete Language and Keyword using the accepted values and limits listed in the Input section.

Which Google Scholar pages does Google Scholar Scraper (Cloud) process?

The workflow is configured for search-result pages and returns fields such as Full_Abstract.

What can I use data from Google Scholar Scraper (Cloud) for?

Screen scholarly results for relevance using full abstract text.

🔗 Related Templates

Share