# Watch target companies for new engineering roles

**Use case:** 

Give it your account list and a keyword, schedule it, and each run returns only the matching roles that are new since last time, with the apply link and the pay range already in the row. A company posting four data engineering roles in a week is a company buying a data stack, which is the signal sales teams work from. A filtered run keeps its own comparison, separate from an unfiltered one.

## Input

```json
{
  "companies": [
    "https://job-boards.greenhouse.io/stripe",
    "https://jobs.lever.co/palantir",
    "ashby:linear",
    "workday:ww.wd1/careers"
  ],
  "keywords": [
    "engineer"
  ],
  "locations": [],
  "remoteOnly": false,
  "includeDescription": false,
  "maxJobsPerCompany": 0,
  "maxConcurrency": 10,
  "trackChanges": true,
  "onlyChanges": true,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "companySlug": {
    "label": "Company slug",
    "format": "string"
  },
  "companyName": {
    "label": "Company name",
    "format": "string"
  },
  "title": {
    "label": "Job title",
    "format": "string"
  },
  "department": {
    "label": "Department",
    "format": "string"
  },
  "location": {
    "label": "Location",
    "format": "string"
  },
  "workplaceType": {
    "label": "Workplace type",
    "format": "string"
  },
  "employmentType": {
    "label": "Employment type",
    "format": "string"
  },
  "salaryMin": {
    "label": "Salary minimum",
    "format": "number"
  },
  "salaryMax": {
    "label": "Salary maximum",
    "format": "number"
  },
  "salaryCurrency": {
    "label": "Salary currency",
    "format": "string"
  },
  "changeType": {
    "label": "Change",
    "format": "string"
  },
  "postedAt": {
    "label": "Posted at",
    "format": "string"
  },
  "applyUrl": {
    "label": "Apply URL",
    "format": "string"
  },
  "ats": {
    "label": "ATS",
    "format": "string"
  },
  "jobId": {
    "label": "Job ID",
    "format": "string"
  },
  "input": {
    "label": "Input",
    "format": "string"
  },
  "error": {
    "label": "Error",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [LinkedIn, Workday, Greenhouse and ATS Jobs Scraper](https://apify.com/titian_fluorite/ats-jobs-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/titian_fluorite/ats-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/titian_fluorite/ats-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`).