# LinkedIn Jobs with Salary Ranges

**Use case:** 

Get LinkedIn jobs with the pay range pulled out as numbers: minimum, maximum, currency and per hour or per year. This example gets registered nurse jobs in California posted in the past week, where 3 in 4 had a pay range in a test run. Swap in any job title and location. Each job also comes with its full description, seniority, employment type and applicant count.

## Input

```json
{
  "searchQueries": [
    "registered nurse"
  ],
  "locations": [
    "California, United States"
  ],
  "maxJobsPerSearch": 50,
  "postedWithin": "week",
  "includeDetails": true,
  "easyApplyOnly": false,
  "under10Applicants": false,
  "strictKeywordMatch": false,
  "monitorMode": false,
  "stateStoreName": "linkedin-jobs-monitor-state",
  "stateRetentionDays": 30,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "title": {
    "label": "Title",
    "format": "string"
  },
  "companyName": {
    "label": "Company",
    "format": "string"
  },
  "location": {
    "label": "Location",
    "format": "string"
  },
  "seniorityLevel": {
    "label": "Seniority level",
    "format": "string"
  },
  "employmentType": {
    "label": "Employment type",
    "format": "string"
  },
  "industries": {
    "label": "Industries",
    "format": "string"
  },
  "applicantsCount": {
    "label": "Applicants",
    "format": "integer"
  },
  "applyType": {
    "label": "Apply",
    "format": "string"
  },
  "salaryMin": {
    "label": "Pay min",
    "format": "number"
  },
  "salaryMax": {
    "label": "Pay max",
    "format": "number"
  },
  "salaryCurrency": {
    "label": "Pay currency",
    "format": "string"
  },
  "salaryPeriod": {
    "label": "Pay period",
    "format": "string"
  },
  "postedAt": {
    "label": "Posted on",
    "format": "string"
  },
  "url": {
    "label": "Job URL",
    "format": "string"
  }
}
```

## How it works

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

The LinkedIn Jobs Scraper & Monitor ($0.30/1K) Actor is ready to run with the inputs already set for "LinkedIn Jobs with Salary Ranges". [Sign up or log in](https://console.apify.com/create-task-from-example/JzpGBCFMaSvetdisB) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "LinkedIn Jobs with Salary Ranges" task

The LinkedIn Jobs Scraper & Monitor ($0.30/1K) Actor will start running based on the input automatically. You can also change all the input fields, like job titles or keywords, locations, and more, to match your specific use case.

### 3. Receive the "LinkedIn Jobs with Salary Ranges" 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 title, company, location, 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 "LinkedIn Jobs with Salary Ranges" task via API](https://apify.com/hydedata/linkedin-jobs-scraper.md).

## About this Actor

This example demonstrates how to use [LinkedIn Jobs Scraper & Monitor ($0.30/1K)](https://apify.com/hydedata/linkedin-jobs-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/hydedata/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/hydedata/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`).