# Summarize Stripe Hiring by Team and Location

**Use case:** 

Prioritize account research with one compact Stripe hiring snapshot. Get total_active_jobs, remote_jobs, jobs_by_department, top_locations and top_technologies from the public board. Summary mode covers the company's full board; it is not limited to five jobs or a promise of buying intent. Export JSON/CSV for n8n, Make or Clay HTTP workflows, or use Apify MCP with AI agents.

## Input

```json
{
  "companies": [
    "greenhouse:stripe"
  ],
  "output_mode": "summary_only",
  "track_diff": false,
  "state_id": "default_state",
  "extract_tech_keywords": true,
  "only_changes": false,
  "remote_only": false,
  "max_jobs_per_company": 5,
  "use_paid_upstream": false
}
```

## Output

```json
{
  "company_domain": {
    "label": "Company",
    "format": "string"
  },
  "record_type": {
    "label": "Record",
    "format": "string"
  },
  "ats_type": {
    "label": "ATS",
    "format": "string"
  },
  "total_active_jobs": {
    "label": "Open jobs",
    "format": "integer"
  },
  "new_jobs": {
    "label": "New",
    "format": "integer"
  },
  "closed_jobs": {
    "label": "Closed",
    "format": "integer"
  },
  "remote_jobs": {
    "label": "Remote",
    "format": "integer"
  },
  "is_first_run": {
    "label": "First run",
    "format": "boolean"
  },
  "jobs_by_department": {
    "label": "By department",
    "format": "object"
  },
  "top_technologies": {
    "label": "Technologies",
    "format": "object"
  },
  "top_locations": {
    "label": "Locations",
    "format": "object"
  },
  "new_job_titles": {
    "label": "New titles",
    "format": "array"
  },
  "closed_job_titles": {
    "label": "Closed titles",
    "format": "array"
  }
}
```

## How it works

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

The ATS Job Scraper: Greenhouse, Lever, Ashby, Workable & More Actor is ready to run with the inputs already set for "Summarize Stripe Hiring by Team and Location". [Sign up or log in](https://console.apify.com/create-task-from-example/H5T6kiFJPLghOEyhW) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Summarize Stripe Hiring by Team and Location" task

The ATS Job Scraper: Greenhouse, Lever, Ashby, Workable & More Actor will start running based on the input automatically. You can also change all the input fields, like companies, what to return, and more, to match your specific use case.

### 3. Receive the "Summarize Stripe Hiring by Team and Location" 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, record, ATS, 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 "Summarize Stripe Hiring by Team and Location" task via API](https://apify.com/hirepulse/ats-job-pulse.md).

## About this Actor

This example demonstrates how to use [ATS Job Scraper: Greenhouse, Lever, Ashby, Workable & More](https://apify.com/hirepulse/ats-job-pulse.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/hirepulse/ats-job-pulse.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/hirepulse/ats-job-pulse.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`).