# Open roles at 25 large employers, from their careers sites

**Use case:** 

Reads the careers sites of twenty-five well-known employers — Netflix on Eightfold, CVS Health on Phenom, Costco and PepsiCo on Jibe, Google Careers, Amazon Jobs, Shopify's own pages, Home Depot and NVIDIA on Workday, Stripe, Airbnb and more on Greenhouse — and returns up to 200 open roles each, one normalized row per job, plus one row per careers site. Swap in your own list.

## Input

```json
{
  "companies": [
    "netflix.com",
    "cvshealth.com",
    "costco.com",
    "pepsico.com",
    "google.com",
    "amazon.com",
    "shopify.com",
    "homedepot.com",
    "nvidia.com",
    "stripe.com",
    "cloudflare.com",
    "airbnb.com",
    "coinbase.com",
    "databricks.com",
    "datadoghq.com",
    "mongodb.com",
    "reddit.com",
    "dropbox.com",
    "figma.com",
    "pinterest.com",
    "duolingo.com",
    "gitlab.com",
    "instacart.com",
    "okta.com",
    "twilio.com"
  ],
  "keywords": "",
  "locations": [],
  "countries": [],
  "remoteOnly": false,
  "postedWithinDays": 0,
  "includeDescriptions": false,
  "maxJobsPerCompany": 200,
  "maxPages": 20,
  "maxConcurrency": 6,
  "maxRunSecs": 600,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "company": {
    "label": "Company",
    "format": "string"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "department": {
    "label": "Department",
    "format": "string"
  },
  "location": {
    "label": "Location",
    "format": "string"
  },
  "country": {
    "label": "Country",
    "format": "string"
  },
  "isRemote": {
    "label": "Remote",
    "format": "boolean"
  },
  "workplaceType": {
    "label": "Workplace type",
    "format": "string"
  },
  "employmentType": {
    "label": "Employment type",
    "format": "string"
  },
  "seniority": {
    "label": "Seniority",
    "format": "string"
  },
  "postedAt": {
    "label": "Posted",
    "format": "string"
  },
  "platform": {
    "label": "Platform",
    "format": "string"
  },
  "url": {
    "label": "Job URL",
    "format": "string"
  }
}
```

## How it works

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

The Careers Page Scraper — Open Roles from Any Company's Site Actor is ready to run with the inputs already set for "Open roles at 25 large employers, from their careers sites". [Sign up or log in](https://console.apify.com/create-task-from-example/sj1GXGAzPRLm1MKha) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Open roles at 25 large employers, from their careers sites" task

The Careers Page Scraper — Open Roles from Any Company's Site Actor will start running based on the input automatically. You can also change all the input fields, like companies, locations, and more, to match your specific use case.

### 3. Receive the "Open roles at 25 large employers, from their careers sites" 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, title, department, 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 "Open roles at 25 large employers, from their careers sites" task via API](https://apify.com/insight.solutions/careers-page-jobs-api.md).

## About this Actor

This example demonstrates how to use [Careers Page Scraper — Open Roles from Any Company's Site](https://apify.com/insight.solutions/careers-page-jobs-api.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/insight.solutions/careers-page-jobs-api.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/insight.solutions/careers-page-jobs-api.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`).