# DataCite Climate Datasets Scraper

**Use case:** 

Scrape DataCite metadata for climate research datasets with DOI, title, creators, publisher, publication year, and resource type. Export to JSON or CSV.

## Input

```json
{
  "maxItems": 25,
  "query": "climate",
  "repositoryId": "zenodo",
  "resourceType": "Dataset",
  "sort": "-created"
}
```

## Output

```json
{
  "doi": {
    "label": "DOI",
    "format": "text"
  },
  "doiUrl": {
    "label": "DOI URL",
    "format": "link"
  },
  "title": {
    "label": "Title",
    "format": "text"
  },
  "publisher": {
    "label": "Publisher",
    "format": "text"
  },
  "publicationYear": {
    "label": "Publication Year",
    "format": "number"
  },
  "resourceType": {
    "label": "Resource Type",
    "format": "text"
  },
  "resourceTypeGeneral": {
    "label": "Resource Type General",
    "format": "text"
  },
  "created": {
    "label": "Created",
    "format": "datetime"
  },
  "updated": {
    "label": "Updated",
    "format": "datetime"
  },
  "scrapedTimestamp": {
    "label": "Scraped Date",
    "format": "datetime"
  },
  "error": {
    "label": "Error",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [DataCite Metadata Scraper](https://apify.com/parseforge/datacite-metadata-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/parseforge/datacite-metadata-scraper) to learn more, explore other use cases, and run it yourself.