# 🔬 Crossref Scraper — DOIs, Citations & Metadata

**Use case:** 

No-code, cheap Crossref API. Scrape scholarly metadata: DOIs, titles, authors, ORCID, journals, publishers, citation counts & abstracts — cheapest per item.

## Input

```json
{
  "query": "crispr gene editing",
  "hasAbstractOnly": false,
  "includeAbstract": true,
  "maxResults": 1000
}
```

## Output

```json
{
  "doi": {
    "label": "Doi",
    "format": "text"
  },
  "title": {
    "label": "Title",
    "format": "text"
  },
  "subtitle": {
    "label": "Subtitle",
    "format": "text"
  },
  "type": {
    "label": "Type",
    "format": "text"
  },
  "authors": {
    "label": "Authors",
    "format": "text"
  },
  "authorCount": {
    "label": "Author Count",
    "format": "number"
  },
  "journal": {
    "label": "Journal",
    "format": "text"
  },
  "publisher": {
    "label": "Publisher",
    "format": "text"
  },
  "publishedDate": {
    "label": "Published Date",
    "format": "date"
  },
  "publishedYear": {
    "label": "Published Year",
    "format": "number"
  },
  "volume": {
    "label": "Volume",
    "format": "text"
  },
  "issue": {
    "label": "Issue",
    "format": "text"
  },
  "page": {
    "label": "Page",
    "format": "text"
  },
  "issn": {
    "label": "Issn",
    "format": "text"
  },
  "citationCount": {
    "label": "Citation Count",
    "format": "number"
  },
  "referenceCount": {
    "label": "Reference Count",
    "format": "number"
  },
  "subjects": {
    "label": "Subjects",
    "format": "text"
  },
  "language": {
    "label": "Language",
    "format": "text"
  },
  "url": {
    "label": "Url",
    "format": "link"
  },
  "abstract": {
    "label": "Abstract",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [Crossref Scraper — Scholarly Works, DOIs & Citations](https://apify.com/hipersoft/crossref-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/hipersoft/crossref-scraper) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
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- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/hipersoft/crossref-scraper.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).