Google Scholar Search API
Search Google Scholar to retrieve academic papers, articles, and research results in JSON format. Get comprehensive academic metadata including citations and publication details.
curl -X GET "https://api.serply.io/v1/scholar/q=high+frequency+trading" \
-H "X-Api-Key: YOUR_API_KEY"{
"results": [
{
"title": "High-Frequency Trading: A Survey of Market Mechanisms and Trading Strategies",
"link": "https://scholar.google.com/scholar?q=high+frequency+trading",
"description": "This paper surveys the landscape of high-frequency trading, examining market mechanisms, trading strategies, and their impact on market liquidity and price discovery.",
"authors": ["John Smith", "Jane Doe"],
"year": "2023",
"citations": 245,
"journal": "Journal of Financial Markets"
},
{
"title": "Machine Learning Applications in Algorithmic Trading",
"link": "https://scholar.google.com/scholar?q=machine+learning+trading",
"description": "An analysis of machine learning techniques applied to algorithmic trading systems, including neural networks, reinforcement learning, and their performance metrics.",
"authors": ["Alice Johnson", "Bob Williams"],
"year": "2022",
"citations": 189,
"journal": "Computational Finance Review"
},
{
"title": "Market Microstructure and High-Frequency Trading: Empirical Evidence",
"link": "https://scholar.google.com/scholar?q=market+microstructure",
"description": "Empirical study examining the relationship between market microstructure and high-frequency trading activity, with focus on order flow and price impact.",
"authors": ["Charlie Brown"],
"year": "2021",
"citations": 312,
"journal": "Financial Economics Quarterly"
}
],
"total": 12345,
"answer": null,
"ts": 4.322932958602905,
"device_region": "US",
"device_type": "desktop"
}Access Academic Research
Search across Google Scholar's comprehensive database of academic papers, articles, theses, books, and abstracts from publishers, universities, and research institutions worldwide.
Comprehensive Paper Metadata
Get detailed academic metadata including paper titles, authors, publication years, citation counts, journal names, and abstracts. Perfect for building research databases, citation trackers, and academic discovery tools.
Citation Information
Access citation counts and publication information for each research paper. Track research impact, identify influential papers, and build citation networks with structured academic data.
Research Tools Integration
Perfect for building research management systems, literature review tools, academic databases, and citation tracking applications. The structured JSON format makes it easy to integrate academic data into your research workflows.
Frequently Asked Questions
What is a Google Scholar Search API?
A Google Scholar Search API provides programmatic access to Google Scholar's academic research database, allowing developers to retrieve academic papers, articles, and research results in structured JSON format. Serply's Google Scholar Search API returns research results including paper titles, authors, publication years, citation counts, and abstracts.
How do I get a Google Scholar Search API key?
Sign up for a free Serply account at serply.io to get your API key. Once registered, you'll find your API key in your dashboard. The free tier includes generous monthly credits to get started with Google Scholar Search API.
What types of academic content does the API search?
The Google Scholar Search API searches across Google Scholar's comprehensive database of academic papers, articles, theses, books, abstracts, and court opinions from academic publishers, professional societies, online repositories, universities, and other scholarly organizations.
What academic metadata does the API return?
The API returns comprehensive academic metadata including paper titles, authors, publication years, citation counts, journal names, abstracts/descriptions, and links to the full papers. This structured data is perfect for building research tools, citation trackers, and academic databases.
Can I filter search results by publication year or citations?
You can use Google Scholar's search operators in your query string to filter results. For example, you can search for papers from specific years or use advanced search parameters. The API returns citation counts and publication years in the response, allowing you to filter results programmatically.
What programming languages work with the API?
Build literature review tools, citation managers, and research dashboards using Python, JavaScript, Ruby, PHP, Go, or Java. The REST API returns structured JSON with citation counts and publication metadata that integrates with reference management tools like Zotero or Mendeley. Ideal for academic research platforms, h-index calculators, and systematic review automation.
Start Building with Google Scholar Search API Today
Join thousands of developers using Serply to build research management systems, citation trackers, and academic discovery tools.