Google Scholar Tool

This notebook provides a quick overview for getting started with SERPGoogleScholarTool. For detailed documentation of all SERPGoogleScholarAPITool features and configurations, head to the API reference.

Overview

Integration details

Class	Package	PY support	Package latest
GoogleScholarTool	@langchain/community	✅

Tool features

• Retrieve academic publications by topic, author, or query.
• Fetch metadata such as title, author, and publication year.
• Advanced search filters, including citation count and journal name.

Setup

The integration lives in the @langchain/community package.

npm install @langchain/community

Credentials

Ensure you have the appropriate API key to access Google Scholar. Set it in your environment variables:

process.env.GOOGLE_SCHOLAR_API_KEY = "your-serp-api-key";

It’s also helpful to set up LangSmith for best-in-class observability:

process.env.LANGSMITH_TRACING = "true";
process.env.LANGSMITH_API_KEY = "your-langchain-api-key";

Instantiation

You can import and instantiate an instance of the SERPGoogleScholarAPITool tool like this:

import { SERPGoogleScholarAPITool } from "@langchain/community/tools/google_scholar";

const tool = new SERPGoogleScholarAPITool({
  apiKey: process.env.SERPAPI_API_KEY,
});

Invocation

Invoke directly with args

You can invoke the tool directly with query arguments:

const results = await tool.invoke({
  query: "neural networks",
  maxResults: 5,
});

console.log(results);

Invoke with ToolCall

We can also invoke the tool with a model-generated ToolCall:

const modelGeneratedToolCall = {
  args: { query: "machine learning" },
  id: "1",
  name: tool.name,
  type: "tool_call",
};
await tool.invoke(modelGeneratedToolCall);

API reference

For detailed documentation of all SERPGoogleScholarAPITool features and configurations, head to the API reference.

Related

• Tool conceptual guide
• Tool how-to guides