ScavioScavio
Feature: serp

Google Scholar

Academic paper results with authors, citations, year, and PDF link from Google Scholar.

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What is Google Scholar?

Scholar results include paper title, authors, year, venue, citation count, and direct PDF link when available. Ideal for research agents, literature review tools, and AI assistants that summarize academic work without requiring an institutional proxy.

Example Response

JSON
{ "papers": [{ "title": "Attention Is All You Need", "authors": ["Vaswani"], "citations": 120000 }] }

Use Cases

  • AI research copilots
  • Literature review automation
  • Citation-graph analysis
  • Academic content summarization

Why Google Scholar Matters

Scholar coverage is broad and freshness is near real-time, making it the single best entry point for academic search from an agent.

LangChain Example

Drop google scholar data into your LangChain agent in a few lines:

Python
tool.invoke({"query": "retrieval augmented generation 2026", "vertical": "scholar"})

Frequently Asked Questions

Send a search request with the appropriate platform (google) and Scavio returns google scholar data in the response. See the example above for the exact field path.

Yes. Scavio fetches google scholar data in real time on each request. There is no caching layer and no stale data.

Scholar results include paper title, authors, year, venue, citation count, and direct PDF link when available. Ideal for research agents, literature review tools, and AI assistants

Google Scholar data is returned as part of the standard search response. Each request costs 1 credit. Free tier includes 500 credits/month.

Start Using Google Scholar

Academic paper results with authors, citations, year, and PDF link from Google Scholar.

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