# Latest bioRxiv Preprints

**Use case:** 

Explore Latest with bioRxiv Preprints Scraper - Biology Research Data. Run the tested configuration and export structured results as JSON, CSV, or Excel.

## Input

```json
{
  "startDate": "2025-01-01",
  "endDate": "2025-01-03",
  "maxResults": 3
}
```

## Output

```json
{
  "title": {
    "label": "Title",
    "format": "text"
  },
  "authors": {
    "label": "Authors",
    "format": "text"
  },
  "corresponding_author": {
    "label": "Corresponding Author",
    "format": "text"
  },
  "institution": {
    "label": "Institution",
    "format": "text"
  },
  "doi": {
    "label": "Doi",
    "format": "text"
  },
  "date": {
    "label": "Date",
    "format": "date"
  },
  "version": {
    "label": "Version",
    "format": "text"
  },
  "publication_type": {
    "label": "Publication Type",
    "format": "text"
  },
  "license": {
    "label": "License",
    "format": "text"
  },
  "category": {
    "label": "Category",
    "format": "text"
  },
  "jats_xml_url": {
    "label": "Jats Xml Url",
    "format": "link"
  },
  "abstract": {
    "label": "Abstract",
    "format": "text"
  },
  "source": {
    "label": "Source",
    "format": "text"
  },
  "scraped_at": {
    "label": "Scraped At",
    "format": "date"
  }
}
```

## About this Actor

This example demonstrates how to use [bioRxiv Preprints Scraper - Biology Research Data](https://apify.com/benthepythondev/biorxiv-preprints-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/benthepythondev/biorxiv-preprints-scraper) to learn more, explore other use cases, and run it yourself.