# Google Scholar AI safety papers scraper

**Use case:** 

Scrape recent Google Scholar papers about AI safety with titles, authors, citations, snippets, PDFs, and publication years.

## Input

```json
{
  "queries": [
    "AI safety alignment",
    "large language model evaluation"
  ],
  "yearFrom": 2022,
  "yearTo": 2026,
  "sortBy": "relevance",
  "includePatents": false,
  "includeCitations": true,
  "maxResults": 50,
  "maxRequestRetries": 3
}
```

## Output

```json
{
  "title": {
    "label": "Title",
    "format": "string"
  },
  "url": {
    "label": "URL",
    "format": "string"
  },
  "authors": {
    "label": "Authors",
    "format": "string"
  },
  "year": {
    "label": "Year",
    "format": "string"
  },
  "source": {
    "label": "Source",
    "format": "string"
  },
  "citationCount": {
    "label": "Citations",
    "format": "integer"
  },
  "snippet": {
    "label": "Snippet",
    "format": "string"
  },
  "pdfUrl": {
    "label": "PDF",
    "format": "string"
  },
  "type": {
    "label": "Type",
    "format": "string"
  },
  "versionCount": {
    "label": "Versions",
    "format": "integer"
  },
  "query": {
    "label": "Query",
    "format": "string"
  }
}
```

## About this Actor

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