# Scrape LinkedIn job search results

**Use case:** 

Get the jobs of a LinkedIn jobs search URL: title, company, location, date posted and job link, 10 jobs per request. Set keywords, location and filters on linkedin.com/jobs and paste the URL. No LinkedIn account or cookies needed.

## Input

```json
{
  "profileUrls": [
    "https://www.linkedin.com/in/williamhgates",
    "satyanadella"
  ],
  "companyUrls": [
    "https://www.linkedin.com/company/apify",
    "microsoft"
  ],
  "postUrls": [
    "https://www.linkedin.com/feed/update/urn:li:activity:7509678332976820224"
  ],
  "includeProfilePosts": false,
  "includeCompanyPosts": false,
  "includeComments": false,
  "jobUrls": [
    "https://www.linkedin.com/jobs/view/4446500774"
  ],
  "jobSearchUrls": [
    "https://www.linkedin.com/jobs/search?keywords=Data%20Engineer&location=France"
  ],
  "includeCompanyJobs": false,
  "includeJobDetails": false,
  "maxJobs": 50,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  },
  "maxConcurrency": 10,
  "maxRequestRetries": 6
}
```

## Output

```json
{
  "entity_type": {
    "label": "Entity type",
    "format": "string"
  },
  "company_logo_url": {
    "label": "Company logo URL",
    "format": "string"
  },
  "posted_at": {
    "label": "Posted on",
    "format": "string"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "company_name": {
    "label": "Company name",
    "format": "string"
  },
  "job_location": {
    "label": "Job location",
    "format": "string"
  },
  "type": {
    "label": "Type",
    "format": "string"
  },
  "seniority_level": {
    "label": "Seniority level",
    "format": "string"
  },
  "salary": {
    "label": "Salary",
    "format": "string"
  },
  "applicants": {
    "label": "Applicants",
    "format": "string"
  },
  "easy_apply": {
    "label": "Easy Apply",
    "format": "boolean"
  },
  "closed": {
    "label": "Closed",
    "format": "boolean"
  },
  "linkedin_job_url": {
    "label": "Job URL",
    "format": "string"
  },
  "linkedin_company_url": {
    "label": "Company page URL",
    "format": "string"
  },
  "operation": {
    "label": "Operation",
    "format": "string"
  },
  "input": {
    "label": "Input",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [LinkedIn Scraper: Profiles, Companies, Posts & Jobs](https://apify.com/data_forge_org/linkedin-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/data_forge_org/linkedin-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

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

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).