# Hiring signals: who hires data and AI people in Oslo

**Use case:** 

Lead list for data and AI consultancies and recruiters: Oslo openings for data, analytics and machine-learning roles posted in the last 30 days at Cognite (Greenhouse), Sanity (Ashby), Schibsted, Vipps, Computas and Fjordkraft (Teamtailor). Descriptions are skipped to keep the run fast.

## Input

```json
{
  "startUrls": [
    {
      "url": "https://job-boards.greenhouse.io/greenhouse"
    },
    {
      "url": "https://jobs.eu.lever.co/lever"
    },
    {
      "url": "https://career.teamtailor.com/jobs"
    }
  ],
  "companies": [
    {
      "ats": "greenhouse",
      "slug": "cognite"
    },
    {
      "ats": "ashby",
      "slug": "sanity"
    },
    {
      "ats": "teamtailor",
      "slug": "schibsted"
    },
    {
      "ats": "teamtailor",
      "slug": "vipps"
    },
    {
      "ats": "teamtailor",
      "slug": "computas"
    },
    {
      "ats": "teamtailor",
      "slug": "fjordkraft"
    }
  ],
  "descriptionFormat": "none",
  "titleKeywords": [
    "data",
    "analytics",
    "machine learning",
    "AI"
  ],
  "excludeTitleKeywords": [
    "intern",
    "sales"
  ],
  "locations": [
    "Oslo"
  ],
  "remoteOnly": false,
  "postedWithinDays": 30,
  "onlyNewJobs": false,
  "monitoringId": "default",
  "redactContacts": true,
  "maxConcurrency": 5
}
```

## Output

```json
{
  "company": {
    "label": "Company",
    "format": "string"
  },
  "title": {
    "label": "Job title",
    "format": "string"
  },
  "location": {
    "label": "Location",
    "format": "string"
  },
  "workplaceType": {
    "label": "Workplace type",
    "format": "string"
  },
  "seniority": {
    "label": "Seniority (heuristic)",
    "format": "string"
  },
  "employmentType": {
    "label": "Employment type",
    "format": "string"
  },
  "postedAt": {
    "label": "Posted at",
    "format": "string"
  },
  "jobUrl": {
    "label": "Job URL",
    "format": "string"
  }
}
```

## How it works

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

The Career Site Job Scraper: Workday, Greenhouse, Lever & more Actor is ready to run with the inputs already set for "Hiring signals: who hires data and AI people in Oslo". [Sign up or log in](https://console.apify.com/create-task-from-example/wQwsDpI6P1EHqi3Re) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Hiring signals: who hires data and AI people in Oslo" task

The Career Site Job Scraper: Workday, Greenhouse, Lever & more Actor will start running based on the input automatically. You can also change all the input fields, like job board or careers page urls, companies by ats and board name, and more, to match your specific use case.

### 3. Receive the "Hiring signals: who hires data and AI people in Oslo" 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, job title, 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 "Hiring signals: who hires data and AI people in Oslo" task via API](https://apify.com/vimplement/career-site-jobs.md).

## About this Actor

This example demonstrates how to use [Career Site Job Scraper: Workday, Greenhouse, Lever & more](https://apify.com/vimplement/career-site-jobs.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/vimplement/career-site-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/vimplement/career-site-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`).