# Scrape all open jobs at Verkada (Greenhouse)

**Use case:** 

Verkada posts its openings on Greenhouse. Departments on the board include Access Control, Alarms and Business Systems; locations include San Mateo, CA United States and London. Every live role comes back as rows: title, department, location, remote flag, salary when shown, posted date and apply URL. Change greenhouse:verkada to another company's board to run the same job for them.

## Input

```json
{
  "boards": [
    "greenhouse:verkada"
  ],
  "titleContains": "",
  "departmentContains": "",
  "locationContains": "",
  "remoteOnly": false,
  "postedWithinDays": 0,
  "maxJobsPerBoard": 0,
  "includeDescription": false,
  "maxRetries": 3
}
```

## Output

```json
{
  "rowType": {
    "label": "rowType",
    "format": "string"
  },
  "ok": {
    "label": "ok",
    "format": "boolean"
  },
  "reason": {
    "label": "reason",
    "format": "string"
  },
  "ats": {
    "label": "ats",
    "format": "string"
  },
  "companySlug": {
    "label": "companySlug",
    "format": "string"
  },
  "companyName": {
    "label": "companyName",
    "format": "string"
  },
  "jobId": {
    "label": "jobId",
    "format": "string"
  },
  "title": {
    "label": "title",
    "format": "string"
  },
  "department": {
    "label": "department",
    "format": "string"
  },
  "team": {
    "label": "team",
    "format": "string"
  },
  "employmentType": {
    "label": "employmentType",
    "format": "string"
  },
  "locationRaw": {
    "label": "locationRaw",
    "format": "string"
  },
  "locationsAll": {
    "label": "locationsAll",
    "format": "array"
  },
  "country": {
    "label": "country",
    "format": "string"
  },
  "city": {
    "label": "city",
    "format": "string"
  },
  "workplaceType": {
    "label": "workplaceType",
    "format": "string"
  },
  "isRemote": {
    "label": "isRemote",
    "format": "boolean"
  },
  "remoteHint": {
    "label": "remoteHint",
    "format": "boolean"
  },
  "salaryMin": {
    "label": "salaryMin",
    "format": "number"
  },
  "salaryMax": {
    "label": "salaryMax",
    "format": "number"
  },
  "salaryCurrency": {
    "label": "salaryCurrency",
    "format": "string"
  },
  "salaryInterval": {
    "label": "salaryInterval",
    "format": "string"
  },
  "salaryText": {
    "label": "salaryText",
    "format": "string"
  },
  "postedAt": {
    "label": "postedAt",
    "format": "string"
  },
  "updatedAt": {
    "label": "updatedAt",
    "format": "string"
  },
  "jobUrl": {
    "label": "jobUrl",
    "format": "string"
  },
  "applyUrl": {
    "label": "applyUrl",
    "format": "string"
  },
  "descriptionText": {
    "label": "descriptionText",
    "format": "string"
  },
  "source": {
    "label": "source",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Greenhouse Jobs Scraper & API - Open Roles, Any Company](https://apify.com/neverempty/greenhouse-jobs.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/neverempty/greenhouse-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/neverempty/greenhouse-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`).