# Export LinkedIn jobs to CSV

**Use case:** 

Export LinkedIn job search results to CSV, Excel or JSON: one row per posting with title, company, company page, location, posted date, salary when shown, applicants, full description, seniority level, employment type, job function and industries. Download the file from the run or connect Google Sheets through the Apify integration. No LinkedIn account needed. $0.50 per 1,000 jobs, no start fee.

## Input

```json
{
  "keywords": "marketing manager",
  "location": "New York, United States",
  "datePosted": "pastMonth",
  "maxJobs": 100,
  "scrapeDetails": true,
  "experienceLevel": [],
  "jobType": [],
  "workplaceType": [],
  "easyApply": false,
  "under10Applicants": false,
  "sortBy": "relevance",
  "maxConcurrency": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

## Output

```json
{
  "title": {
    "label": "Job",
    "format": "string"
  },
  "companyName": {
    "label": "Company",
    "format": "string"
  },
  "location": {
    "label": "Location",
    "format": "string"
  },
  "postedAt": {
    "label": "Posted",
    "format": "string"
  },
  "applicantsCount": {
    "label": "Applicants",
    "format": "string"
  },
  "seniorityLevel": {
    "label": "Seniority",
    "format": "string"
  },
  "employmentType": {
    "label": "Type",
    "format": "string"
  },
  "salaryInfo": {
    "label": "Salary",
    "format": "array"
  },
  "link": {
    "label": "URL",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [LinkedIn Jobs Scraper · No Login · $0.5/1k](https://apify.com/alfalfa/linkedin-jobs-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/alfalfa/linkedin-jobs-scraper.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/alfalfa/linkedin-jobs-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).