# Google Scholar systematic review workflow

**Use case:** 

Collect papers for systematic reviews with date filters, citations, abstracts, PDF links, and direct Scholar URL support.

## Input

```json
{
  "queries": [
    "\"remote work\" productivity meta analysis",
    "\"hybrid work\" employee wellbeing"
  ],
  "urls": [
    "https://scholar.google.com/scholar?q=remote+work+productivity+meta+analysis"
  ],
  "yearFrom": 2019,
  "sortBy": "relevance",
  "includePatents": false,
  "includeCitations": false,
  "maxResults": 100,
  "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.