# Google Scholar Paper and Author Search Results API

**Use case:** 

Use Google Scholar Paper and Author Data Scraper for google scholar citations with structured, source-linked results for AI-agent research, comparison,.

## Input

```json
{
  "mode": "search",
  "queries": [
    "google scholar paper and author search results"
  ],
  "maxResults": 10,
  "sortByDate": false,
  "includePatents": false,
  "includeCaseLaw": false,
  "reviewArticlesOnly": false,
  "authorSort": "relevance",
  "resultsLanguage": "en",
  "forceSerpApi": true,
  "maxRetries": 10,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

## Output

```json
{
  "mode": {
    "label": "Mode",
    "format": "text"
  },
  "title": {
    "label": "Title",
    "format": "text"
  },
  "authors": {
    "label": "Authors",
    "format": "array"
  },
  "year": {
    "label": "Year",
    "format": "number"
  },
  "citedByCount": {
    "label": "Cited by",
    "format": "number"
  },
  "publicationInfo": {
    "label": "Publication",
    "format": "text"
  },
  "link": {
    "label": "Link",
    "format": "link"
  },
  "pdfUrl": {
    "label": "PDF",
    "format": "link"
  },
  "resultId": {
    "label": "Paper ID",
    "format": "text"
  },
  "snippet": {
    "label": "Snippet",
    "format": "text"
  },
  "name": {
    "label": "Author",
    "format": "text"
  },
  "authorId": {
    "label": "Author ID",
    "format": "text"
  },
  "hIndex": {
    "label": "h-index",
    "format": "number"
  },
  "i10Index": {
    "label": "i10-index",
    "format": "number"
  },
  "citationsTotal": {
    "label": "Citations",
    "format": "number"
  },
  "coAuthorName": {
    "label": "Co-author",
    "format": "text"
  },
  "source": {
    "label": "Source",
    "format": "text"
  },
  "scrapedAt": {
    "label": "Scraped at",
    "format": "date"
  }
}
```

## About this Actor

This example demonstrates how to use [Google Scholar Paper and Author Data Scraper](https://apify.com/khadinakbar/google-scholar-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/khadinakbar/google-scholar-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
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This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
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- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/khadinakbar/google-scholar-scraper.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).