# Every day, only the new LinkedIn jobs and their pay

**Use case:** 

A daily run for software engineer jobs in Colorado: postings from the past 24 hours, and on later runs only the ones not seen before, so you are not charged twice for the same job.

## Input

```json
{
  "jobs": [],
  "keywords": "software engineer",
  "location": "Colorado, United States",
  "datePosted": "past-24-hours",
  "onlyWithSalary": false,
  "maxJobs": 50,
  "includeCompany": false,
  "onlyNew": true,
  "maxRequestsPerMinute": 20
}
```

## Output

```json
{
  "title": {
    "label": "title"
  },
  "company": {
    "label": "company"
  },
  "location": {
    "label": "location"
  },
  "currency": {
    "label": "currency"
  },
  "annualSalaryMin": {
    "label": "annualSalaryMin"
  },
  "annualSalaryMax": {
    "label": "annualSalaryMax"
  },
  "salaryPeriod": {
    "label": "salaryPeriod"
  },
  "salaryText": {
    "label": "salaryText"
  },
  "jobUrl": {
    "label": "jobUrl"
  }
}
```

## How it works

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

The LinkedIn Salary Scraper — Jobs with Salary, Filter by Pay Actor is ready to run with the inputs already set for "Every day, only the new LinkedIn jobs and their pay". [Sign up or log in](https://console.apify.com/create-task-from-example/kbKqGJhGrRnpJZff1) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Every day, only the new LinkedIn jobs and their pay" task

The LinkedIn Salary Scraper — Jobs with Salary, Filter by Pay Actor will start running based on the input automatically. You can also change all the input fields, like job urls (instead of a search), search keywords, and more, to match your specific use case.

### 3. Receive the "Every day, only the new LinkedIn jobs and their pay" 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 "Every day, only the new LinkedIn jobs and their pay" task via API](https://apify.com/northbell/linkedin-jobs-salary-scraper.md).

## About this Actor

This example demonstrates how to use [LinkedIn Salary Scraper — Jobs with Salary, Filter by Pay](https://apify.com/northbell/linkedin-jobs-salary-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/northbell/linkedin-jobs-salary-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/northbell/linkedin-jobs-salary-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`).