# LinkedIn jobs posted in the past week for a role and city

**Use case:** 

Every LinkedIn job posted in the past week for a role in one place: title, company, location, salary when the posting lists it, seniority, job type, applicant count, apply link and description. Swap in your own roles and locations.

## Input

```json
{
  "keywords": [
    "product manager"
  ],
  "locations": [
    "London, England, United Kingdom"
  ],
  "datePosted": "past-week",
  "sortBy": "recent",
  "includeDetails": true,
  "onlyNewJobs": false,
  "maxResults": 30
}
```

## Output

```json
{
  "title": {
    "label": "Title",
    "format": "string"
  },
  "companyName": {
    "label": "Company name",
    "format": "string"
  },
  "location": {
    "label": "Location",
    "format": "string"
  },
  "statedWorkplace": {
    "label": "Workplace",
    "format": "string"
  },
  "employmentType": {
    "label": "Employment type",
    "format": "string"
  },
  "seniority": {
    "label": "Seniority",
    "format": "string"
  },
  "salaryText": {
    "label": "Salary text",
    "format": "string"
  },
  "applicants": {
    "label": "Applicants",
    "format": "string"
  },
  "postedAt": {
    "label": "Posted",
    "format": "string"
  },
  "url": {
    "label": "Job link",
    "format": "string"
  }
}
```

## How it works

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

The LinkedIn Jobs Scraper: Salary, Remote & New-Job Alerts Actor is ready to run with the inputs already set for "LinkedIn jobs posted in the past week for a role and city". [Sign up or log in](https://console.apify.com/create-task-from-example/co6mvmaYieu7kk6wt) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "LinkedIn jobs posted in the past week for a role and city" task

The LinkedIn Jobs Scraper: Salary, Remote & New-Job Alerts 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 posted in the past week for a role and city" 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 name, 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 posted in the past week for a role and city" task via API](https://apify.com/humble-echidna/linkedin-jobs.md).

## About this Actor

This example demonstrates how to use [LinkedIn Jobs Scraper: Salary, Remote & New-Job Alerts](https://apify.com/humble-echidna/linkedin-jobs.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/humble-echidna/linkedin-jobs.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/humble-echidna/linkedin-jobs.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`).