# Compare registered nurse pay in California from LinkedIn jobs

**Use case:** 

Collects registered nurse jobs posted in California during the past week, with the pay range from LinkedIn's salary box or, when that is missing, from the job description, split into minimum, maximum, currency and period. Most postings there state a range, so hospitals, staffing agencies and nurses can benchmark hourly and yearly pay by city and employer.

## Input

```json
{
  "searches": [
    {
      "keywords": "registered nurse",
      "location": "California, United States"
    }
  ],
  "startUrls": [],
  "datePosted": "past-week",
  "jobTypes": [],
  "experienceLevels": [],
  "workplaceTypes": [],
  "easyApplyOnly": false,
  "under10Applicants": false,
  "companyIds": [],
  "distanceMiles": "any",
  "maxJobsPerSearch": 30,
  "splitWideSearches": true,
  "fetchJobDetails": true,
  "includeDescriptionHtml": false,
  "includeJobPoster": false,
  "onlyNewJobs": false,
  "monitorName": "default",
  "maxConcurrency": 10,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "companyLogo": {
    "label": "Logo",
    "format": "string"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "companyName": {
    "label": "Company",
    "format": "string"
  },
  "location": {
    "label": "Location",
    "format": "string"
  },
  "workplaceType": {
    "label": "Workplace",
    "format": "string"
  },
  "postedAt": {
    "label": "Posted",
    "format": "string"
  },
  "salary.text": {
    "label": "Salary",
    "format": "string"
  },
  "employmentType": {
    "label": "Type",
    "format": "string"
  },
  "applicantsCount": {
    "label": "Applicants",
    "format": "integer"
  },
  "url": {
    "label": "Job link",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The LinkedIn Jobs Scraper: Full Details, Salaries & New-Job Monitor Actor is ready to run with the inputs already set for "Compare registered nurse pay in California from LinkedIn jobs". [Sign up or log in](https://console.apify.com/create-task-from-example/i2e4pXAqMrMliPUsk) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Compare registered nurse pay in California from LinkedIn jobs" task

The LinkedIn Jobs Scraper: Full Details, Salaries & New-Job Monitor Actor will start running based on the input automatically. You can also change all the input fields, like job searches, linkedin urls, and more, to match your specific use case.

### 3. Receive the "Compare registered nurse pay in California from LinkedIn jobs" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as logo, title, company, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Compare registered nurse pay in California from LinkedIn jobs" task via API](https://apify.com/stratumics/linkedin-jobs-scraper.md).

## About this Actor

This example demonstrates how to use [LinkedIn Jobs Scraper: Full Details, Salaries & New-Job Monitor](https://apify.com/stratumics/linkedin-jobs-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/stratumics/linkedin-jobs-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/stratumics/linkedin-jobs-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`).