# Companies hiring for a role (sales leads)

**Use case:** 

Companies hiring data engineers in the United States in the past week, with the people who posted the jobs: a lead list for B2B prospecting.

## Input

```json
{
  "keywords": [
    "data engineer"
  ],
  "locations": [
    "United States"
  ],
  "datePosted": "pastWeek",
  "maxJobsPerSearch": 100,
  "includeDetails": true,
  "easyApply": false,
  "onlyNewJobs": false
}
```

## Output

```json
{
  "companyName": {
    "label": "Company"
  },
  "companyUrl": {
    "label": "Company page",
    "format": "link"
  },
  "title": {
    "label": "Hiring for"
  },
  "location": {
    "label": "Location"
  },
  "postedDate": {
    "label": "Posted"
  },
  "posterName": {
    "label": "Posted by"
  },
  "posterTitle": {
    "label": "Poster title"
  },
  "posterProfileUrl": {
    "label": "Poster profile",
    "format": "link"
  },
  "industries": {
    "label": "Industries"
  }
}
```

## How it works

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

The LinkedIn Jobs Scraper | Job Postings API | $0.40/1K Actor is ready to run with the inputs already set for "Companies hiring for a role (sales leads)". [Sign up or log in](https://console.apify.com/create-task-from-example/vwmDWEMpNuqaDk4jc) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Companies hiring for a role (sales leads)" task

The LinkedIn Jobs Scraper | Job Postings API | $0.40/1K 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 "Companies hiring for a role (sales leads)" 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 company, company page, hiring for, 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 "Companies hiring for a role (sales leads)" task via API](https://apify.com/monkey.d.scraping/linkedin-jobs-scraper.md).

## FAQ

### Where is the list of companies?

Open the Hiring companies and posters view, or RUN_SUMMARY for the top hiring companies.

### Do I need a LinkedIn account?

No. It reads LinkedIn's public job pages like a logged-out visitor. An Apify account is required to run it.

### How much does this example cost?

$0.40 per 1,000 jobs with full details on the free plan (less on paid plans), platform usage included. Duplicates and filtered-out jobs are not charged.

## About this Actor

This example demonstrates how to use [LinkedIn Jobs Scraper | Job Postings API | $0.40/1K](https://apify.com/monkey.d.scraping/linkedin-jobs-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/monkey.d.scraping/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/monkey.d.scraping/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`).