# Easy Apply LinkedIn jobs posted in the last 24 hours

**Use case:** 

Easy Apply LinkedIn jobs posted in the last 24 hours. LinkedIn job listings with company, location, seniority and Easy Apply flag. No API key needed. Export to CSV, Excel or JSON.

## Input

```json
{
  "searchQueries": [
    "software engineer"
  ],
  "location": "United States",
  "locations": [
    "Austin, TX",
    "Dallas, TX",
    "Houston, TX"
  ],
  "datePosted": "r86400",
  "experienceLevel": [],
  "contractType": [],
  "remote": [],
  "companyNames": [
    "Google",
    "Microsoft"
  ],
  "companyId": [],
  "maxItems": 50,
  "requireSalary": false,
  "minSalary": 0,
  "easyApplyOnly": true,
  "maxApplicants": 0,
  "titleInclude": [
    "senior",
    "lead"
  ],
  "titleExclude": [
    "intern",
    "junior"
  ],
  "excludeAgencies": false,
  "onlyNewJobs": false,
  "descriptionFormat": "text"
}
```

## Output

```json
{
  "companyLogo": {
    "label": "Company logo",
    "format": "image"
  },
  "jobTitle": {
    "label": "Title",
    "format": "text"
  },
  "companyName": {
    "label": "Company",
    "format": "text"
  },
  "location": {
    "label": "Location",
    "format": "text"
  },
  "salary_text": {
    "label": "Salary",
    "format": "text"
  },
  "postedDate": {
    "label": "Posted",
    "format": "date"
  },
  "applyType": {
    "label": "Apply type",
    "format": "text"
  },
  "applicants": {
    "label": "Applicants",
    "format": "number"
  },
  "seniority": {
    "label": "Seniority",
    "format": "text"
  },
  "job_score": {
    "label": "Score",
    "format": "number"
  },
  "jobUrl": {
    "label": "Link",
    "format": "link"
  }
}
```

## About this Actor

This example demonstrates how to use [LinkedIn Jobs Scraper - Listings, Multi-Title, Location, CSV](https://apify.com/flash_scraper/linkedin-jobs-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/flash_scraper/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`.
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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/flash_scraper/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).
