# OpenAlex Bulk Scholarly Dataset

**Use case:** 

Scrape 250M+ scholarly papers from OpenAlex as clean JSON. Filter by topic, year, citations, open access & type. Get authors, venues, abstracts. No API key. Use in Claude, ChatGPT & any MCP agent for literature reviews & RAG.

## Input

```json
{
  "searchTerm": "large language models",
  "workType": "article",
  "openAccessOnly": false,
  "includeAbstract": false,
  "maxResults": 100
}
```

## Output

```json
{
  "title": {
    "label": "Title",
    "format": "string"
  },
  "publication_year": {
    "label": "Year",
    "format": "number"
  },
  "cited_by_count": {
    "label": "Citations",
    "format": "number"
  },
  "authors": {
    "label": "Authors",
    "format": "array"
  },
  "venue": {
    "label": "Venue",
    "format": "string"
  },
  "doi": {
    "label": "DOI",
    "format": "string"
  },
  "is_open_access": {
    "label": "Open Access",
    "format": "boolean"
  },
  "openalex_url": {
    "label": "URL",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [OpenAlex Scraper | 20 Fields, Citations & OA, No API Key](https://apify.com/themineworks/openalex-scholarly-works.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/themineworks/openalex-scholarly-works.md) to learn more, explore other use cases, and run it yourself.


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

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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/themineworks/openalex-scholarly-works.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).