# All Cyber Security API Example for Teams

**Use case:** 

A ready-to-run example that extracts structured All data for cyber security, with normalized fields on each returned row.

## Input

```json
{
  "keyword": "cyber security",
  "max_results": 1,
  "sources": [
    "openalex",
    "crossref",
    "pubmed",
    "doaj",
    "arxiv",
    "europe_pmc",
    "openaire",
    "core",
    "datacite",
    "openreview",
    "semantic_scholar",
    "cqvip"
  ]
}
```

## Output

```json
{
  "title": {
    "label": "Title",
    "format": "string"
  },
  "source": {
    "label": "Source",
    "format": "string"
  },
  "work_url": {
    "label": "Work Url",
    "format": "string"
  },
  "doi": {
    "label": "Doi",
    "format": "string"
  },
  "pdf_url": {
    "label": "Pdf Url",
    "format": "string"
  },
  "published_year": {
    "label": "Published Year",
    "format": "integer"
  },
  "published_date": {
    "label": "Published Date",
    "format": "string"
  },
  "citations": {
    "label": "Citations",
    "format": "integer"
  },
  "is_open": {
    "label": "Is Open",
    "format": "boolean"
  },
  "venue": {
    "label": "Venue",
    "format": "string"
  },
  "work_type": {
    "label": "Work Type",
    "format": "string"
  },
  "language": {
    "label": "Language",
    "format": "string"
  },
  "license": {
    "label": "License",
    "format": "string"
  },
  "authors": {
    "label": "Authors",
    "format": "array"
  },
  "category": {
    "label": "Category",
    "format": "array"
  },
  "affiliations": {
    "label": "Affiliations",
    "format": "array"
  },
  "abstract": {
    "label": "Abstract",
    "format": "string"
  },
  "source_id": {
    "label": "Source record id",
    "format": "string"
  },
  "processor": {
    "label": "Processor",
    "format": "string"
  },
  "processed_at": {
    "label": "Processed At",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [All Academic Papers Search](https://apify.com/agentx/all-academic-papers-search.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/agentx/all-academic-papers-search.md) 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`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **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/agentx/all-academic-papers-search.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).