# Find remote registered nurse jobs posted this week

**Use case:** 

Search LinkedIn for remote registered nurse openings posted in the past week and pull job titles, employers, locations and links into a table.

## Input

```json
{
  "searches": [
    "registered nurse @ Remote"
  ],
  "testRun": false,
  "onlyFound": false,
  "includeKeywords": [],
  "excludeKeywords": [],
  "defaultLocation": "",
  "maxJobsPerQuery": 100,
  "postedWithin": "week",
  "easyApplyOnly": false,
  "fetchDescription": false,
  "titleKeywords": [],
  "excludeTitleKeywords": [],
  "companies": [],
  "excludeCompanies": [],
  "locations": [],
  "remoteOnly": false,
  "skipDuplicateJobs": true,
  "columns": [
    "searchKeywords",
    "searchLocation",
    "jobCount",
    "truncated",
    "ignoredSearchFilters",
    "jobs",
    "jobId",
    "title",
    "company",
    "companyUrl",
    "companyLogoUrl",
    "location",
    "remote",
    "postedAt",
    "postedAgo",
    "jobUrl",
    "activelyHiring",
    "earlyApplicant",
    "benefitsText",
    "descriptionFetched",
    "description",
    "salaryText",
    "seniorityLevel",
    "employmentType",
    "jobFunction",
    "industries",
    "applicantsText"
  ],
  "expandRows": true,
  "maxConcurrency": 2,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

## Output

```json
{
  "title": {
    "label": "Job title",
    "format": "string"
  },
  "company": {
    "label": "Company",
    "format": "string"
  },
  "location": {
    "label": "Location",
    "format": "string"
  },
  "remote": {
    "label": "Remote?",
    "format": "boolean"
  },
  "postedAt": {
    "label": "Posted on",
    "format": "string"
  },
  "jobUrl": {
    "label": "Job link",
    "format": "string"
  },
  "searchKeywords": {
    "label": "Keywords searched",
    "format": "string"
  },
  "found": {
    "label": "Found?",
    "format": "boolean"
  }
}
```

## About this Actor

This example demonstrates how to use [LinkedIn Jobs Search Lookup: jobs scraper from $1.50/1k](https://apify.com/accountable_eel/linkedin-jobs-search-lookup.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/accountable_eel/linkedin-jobs-search-lookup.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`.
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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/accountable_eel/linkedin-jobs-search-lookup.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).