# Research engineering hiring at target companies

**Use case:** 

Collect public engineering vacancy cards from selected LinkedIn companies using role keywords and a location filter. Keep employer names, job titles, dates and links to prepare a sample for technical recruiting or workforce research. The task does not calculate hiring growth or retrieve job descriptions.

## Input

```json
{
  "inputList": [
    "microsoft",
    "ibm"
  ],
  "pagesPerCompany": 1,
  "keywords": "software engineer",
  "location": "United States",
  "geoId": "",
  "timePosted": "",
  "workplaceType": "",
  "experienceLevel": "",
  "jobType": "",
  "sortBy": "",
  "distance": 0,
  "easyApply": false,
  "earlyApplicant": false
}
```

## Output

```json
{
  "input": {
    "label": "Input",
    "format": "string"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "source_company_id": {
    "label": "Source Company ID",
    "format": "string"
  },
  "source_company_slug": {
    "label": "Source Company Slug",
    "format": "string"
  },
  "source_company_name": {
    "label": "Source Company Name",
    "format": "string"
  },
  "source_company_url": {
    "label": "Source Company URL",
    "format": "string"
  },
  "id": {
    "label": "ID",
    "format": "string"
  },
  "url": {
    "label": "URL",
    "format": "string"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "company.id": {
    "label": "Company / ID",
    "format": "text"
  },
  "company.name": {
    "label": "Company / Name",
    "format": "text"
  },
  "company.url": {
    "label": "Company / URL",
    "format": "link"
  },
  "company.logo": {
    "label": "Company / Logo",
    "format": "image"
  },
  "location": {
    "label": "Location",
    "format": "string"
  },
  "posted_at": {
    "label": "Posted At",
    "format": "string"
  },
  "posted_time": {
    "label": "Posted Time",
    "format": "string"
  },
  "benefits": {
    "label": "Benefits",
    "format": "array"
  },
  "actively_hiring": {
    "label": "Actively Hiring",
    "format": "boolean"
  },
  "is_promoted": {
    "label": "Is Promoted",
    "format": "boolean"
  }
}
```

## About this Actor

This example demonstrates how to use [LinkedIn Company Jobs Scraper – Vacancies Export](https://apify.com/scrapingmonkey/linkedin-company-jobs-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/scrapingmonkey/linkedin-company-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/scrapingmonkey/linkedin-company-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`).