# Export Google Scholar search results to CSV for solar research

**Use case:** 

Energy analysts can sample recent perovskite solar cell papers and export the resulting dataset to CSV in Apify. Keep titles, author strings, years and citation counts while omitting abstracts. The task does not retrieve the contents of linked PDF files.

## Input

```json
{
  "query": "perovskite solar cells",
  "authorId": "",
  "maxResults": 3,
  "language": "en",
  "yearFrom": 2024,
  "yearTo": 2026,
  "sortBy": "relevance",
  "includeAbstracts": false,
  "includeCitations": false
}
```

## Output

```json
{
  "type": {
    "label": "Type",
    "format": "text"
  },
  "title": {
    "label": "Title",
    "format": "text"
  },
  "authors": {
    "label": "Authors",
    "format": "text"
  },
  "year": {
    "label": "Year",
    "format": "number"
  },
  "publicationVenue": {
    "label": "Publication",
    "format": "text"
  },
  "citationCount": {
    "label": "Citations",
    "format": "number"
  },
  "url": {
    "label": "URL",
    "format": "link"
  },
  "abstract": {
    "label": "Abstract",
    "format": "text"
  },
  "scrapedAt": {
    "label": "Scraped At",
    "format": "text"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Google Scholar Scraper, Papers, Citations and Authors Actor is ready to run with the inputs already set for "Export Google Scholar search results to CSV for solar research". [Sign up or log in](https://console.apify.com/create-task-from-example/Z2BVXmbKXbg8yXvpI) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Export Google Scholar search results to CSV for solar research" task

The Google Scholar Scraper, Papers, Citations and Authors Actor will start running based on the input automatically. You can also change all the input fields, like search query, maximum results, and more, to match your specific use case.

### 3. Receive the "Export Google Scholar search results to CSV for solar research" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as type, title, authors, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Export Google Scholar search results to CSV for solar research" task via API](https://apify.com/george.the.developer/google-scholar-scraper.md).

## About this Actor

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


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

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

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).