# All-in-One ATS Job Scraper (9 Platforms) (`data-goose/career-site-job-scraper`) Actor

Paste any company name, website or job board URL. Auto-detects which of 9 ATS platforms it uses (Workday, Greenhouse, Lever, Ashby, SmartRecruiters, Workable, Recruitee, Breezy HR, Rippling) and scrapes every open job into one unified 31-field dataset. Pure HTTP, 128 MB.

- **URL**: https://apify.com/data-goose/career-site-job-scraper.md
- **Developed by:** [Data Goose](https://apify.com/data-goose) (community)
- **Categories:** Jobs, Lead generation
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.85 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

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 examples already wired to this Actor's own input schema, see the [API](#api) section below.

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`).

# README

## All-in-One ATS Job Scraper (9 Platforms)

Paste **any mix of company names, corporate website domains, or ATS board URLs** (`"stripe"`, `"nvidia"`, `"openai"`, `"palantir"`, `"ServiceNow"`, `"stripe.com"`, `"https://jobs.ashbyhq.com/linear"`) and automatically detect & extract open jobs across **all 9 major ATS platforms** (`Greenhouse`, `Workday`, `Ashby`, `Lever`, `SmartRecruiters`, `Workable`, `Recruitee`, `Breezy HR`, and `Rippling`) into a single unified 31-field dataset.

Runs as pure HTTP against each ATS's upstream JSON API in **128 MB** of memory—finishing a 5-ATS sample run (`Stripe`, `NVIDIA`, `OpenAI`, `Palantir`, `Bosch`) in ~6 seconds.

***

### Which companies can I scrape?

**Any company that uses one of the 9 supported ATS platforms:** Workday, Greenhouse, Lever, Ashby, SmartRecruiters, Workable, Recruitee, Breezy HR or Rippling. You don't need to know which one a company uses. Paste whatever you have and the Actor works it out:

| You paste | Example | How it's resolved |
|---|---|---|
| Any ATS board or job URL | `https://jobs.lever.co/palantir` | Read straight from the URL. Most reliable. |
| A company name | `stripe`, `nvidia`, `openai` | Instant match from our 235+ company directory. Otherwise checks Greenhouse, Lever, Ashby, SmartRecruiters, Recruitee, Breezy HR and Rippling in parallel. |
| A company website or careers page | `stripe.com`, `https://example.com/careers` | Scans the page for a link to its job board. |

**Tips for best results**

- **Workday and Workable companies outside our directory:** paste the careers page URL rather than the bare name. Workday URLs can't be guessed from the name (see the [Workday Jobs Scraper](https://apify.com/data-goose/workday-job-scraper) for details).
- **Short or common names** (e.g. `bolt`, `circle`) can match a different company with the same board name. Paste the exact board URL when it matters.

**What's the built-in directory?** An optional shortcut. Turn on `includeBuiltInTechDirectory` to also scan 235+ verified companies across all 9 platforms without typing anything. It's off by default and never limits what you can scrape.

#### Optional Starter Directory (Any Company on All 9 ATS Platforms Works in `urls`)

You can scrape **any company using any of the 9 supported ATS platforms** by pasting its board URL, careers page URL, or slug into `urls`. The 235 companies below are **only** our optional built-in starter pack (used when `"includeBuiltInTechDirectory": true`)—they **never** limit what you can scrape:

- **GREENHOUSE (48):** `stripe`, `anthropic`, `cloudflare`, `databricks`, `figma`, `intercom`, `mongodb`, `datadog`, `airtable`, `gusto`, `okta`, `carta`, `toast`, `airbnb`, `coinbase`, `gitlab`, `vercel`, `scaleai`, `brex`, `robinhood`, `duolingo`, `discord`, `reddit`, `pinterest`, `lyft`, `instacart`, `asana`, `twilio`, `elastic`, `cockroachlabs`, `chime`, `coursera`, `dropbox`, `affirm`, `flexport`, `gongio`, `klaviyo`, `lattice`, `launchdarkly`, `netlify`, `newrelic`, `pagerduty`, `rubrik`, `samsara`, `squarespace`, `udemy`, `zscaler`, `algolia`
- **WORKDAY (103):** `3m`, `abbvie`, `accenture`, `adobe`, `agilent`, `aig`, `allstate`, `amgen`, `analogdevices`, `astrazeneca`, `autodesk`, `bankofamerica`, `blackrock`, `bms`, `boeing`, `bostonscientific`, `broadcom`, `capitalone`, `cardinalhealth`, `caterpillar`, `centene`, `chevron`, `cigna`, `citi`, `cmegroup`, `cognizant`, `comcast`, `corning`, `cummins`, `cvshealth`, `danaher`, `deere`, `dell`, `dupont`, `eaton`, `fedex`, `fis`, `generalmotors`, `gsk`, `hp`, `hpe`, `humana`, `illumina`, `intel`, `iqvia`, `jll`, `johnsoncontrols`, `kla`, `lamresearch`, `leidos`, `lowes`, `marriott`, `mastercard`, `mckesson`, `medtronic`, `merck`, `micron`, `moderna`, `morganstanley`, `motorolasolutions`, `nasdaq`, `netflix`, `nike`, `nvidia`, `paypal`, `pfizer`, `pg`, `philips`, `pnc`, `prudential`, `pwc`, `qualcomm`, `raytheon`, `regeneron`, `relx`, `roche`, `salesforce`, `sanofi`, `sony`, `spglobal`, `stryker`, `synopsys`, `target`, `thermofisher`, `tmobile`, `travelers`, `truist`, `tyson`, `unilever`, `ups`, `usbank`, `vanguard`, `verizon`, `vertex`, `walgreens`, `walmart`, `wellsfargo`, `westerndigital`, `whirlpool`, `workday`, `yum`, `zimmerbiomet`, `zoetis`
- **ASHBY (36):** `openai`, `linear`, `ramp`, `supabase`, `posthog`, `vanta`, `langchain`, `lovable`, `synthesia`, `inngest`, `cohere`, `notion`, `perplexity`, `elevenlabs`, `replit`, `zapier`, `harvey`, `cursor`, `decagon`, `sierra`, `modal`, `baseten`, `deepgram`, `pinecone`, `weaviate`, `resend`, `railway`, `render`, `clerk`, `workos`, `bland`, `pika`, `runway`, `zed`, `cognition`, `1x`
- **LEVER (16):** `palantir`, `spotify`, `zoox`, `veeva`, `outreach`, `ro`, `wealthfront`, `jobgether`, `binance`, `coupa`, `metabase`, `latch`, `jumpcloud`, `neon`, `shieldai`, `rigetti`
- **SMARTRECRUITERS (8):** `BoschGroup`, `ServiceNow`, `CDPROJEKTRED`, `Devoteam`, `Eurofins`, `AveryDennison`, `NielsenIQ`, `Experian`
- **WORKABLE (6):** `biffa`, `blueground`, `skroutz`, `epignosis`, `upstream`, `persado`
- **RECRUITEE (7):** `bunq`, `channable`, `vandebron`, `personio`, `trackman`, `pragmaticcoders`, `fastned`
- **BREEZYHR (6):** `breezy`, `mukuru`, `shopritex`, `rhynocare`, `drips`, `nationsbenefits`
- **RIPPLING (5):** `rippling`, `carbon-health`, `petfolk`, `crafty`, `dub`

> **Scraping companies across multiple ATS platforms?** Combine this Actor with our other live 31-field job scrapers ([Workday Jobs Scraper](https://apify.com/data-goose/workday-job-scraper), [Greenhouse Jobs Scraper](https://apify.com/data-goose/greenhouse-job-scraper), [Lever Jobs Scraper](https://apify.com/data-goose/lever-job-scraper), [Ashby Job Scraper](https://apify.com/data-goose/ashby-job-scraper), [SmartRecruiters Jobs Scraper](https://apify.com/data-goose/smartrecruiters-job-scraper), [Rippling Jobs Scraper](https://apify.com/data-goose/rippling-job-scraper), [Workable Jobs Scraper](https://apify.com/data-goose/workable-job-scraper), [Recruitee Jobs Scraper](https://apify.com/data-goose/recruitee-job-scraper), [Breezy HR Jobs Scraper](https://apify.com/data-goose/breezyhr-job-scraper))—all sharing the **exact same 31-field output schema** (`companyDomain`, `salaryMin`, `salaryMax`, `recruiterEmails`, `isNew`) so they plug into a single n8n, Make, Clay, or Python pipeline with zero field-mapping changes.

***

### Quick Start — 3 Common Workflows

Click **Save & Start** in Apify Console to run the prefilled sample immediately, or copy one of these ready-to-run JSON inputs:

#### 1. Targeted Keyword & Remote Job Search

```json
{
  "urls": ["stripe", "nvidia", "openai"],
  "keywordFilter": "engineer, ai, -intern",
  "remoteOnly": true,
  "maxJobsPerCompany": 25
}
```

#### 2. Scheduled Daily Change Monitor (Emit Only Net-New Jobs)

Run on an hourly or daily schedule—the first run establishes your baseline, and every subsequent run outputs **only newly posted jobs** (while logging closed/expired job IDs to `RUN_SUMMARY`):

```json
{
  "urls": ["stripe", "nvidia", "openai"],
  "onlyNewJobs": true,
  "monitorName": "daily-watchlist",
  "maxJobsPerCompany": 50
}
```

#### 3. Zero-Input Built-In Directory Scan (B2B Hiring Signals & Clay / CRM Enrichment)

Scan our built-in directory of verified companies without hunting down board URLs—every output record includes `companyDomain`, `salaryFormatted`, and `recruiterEmails`:

```json
{
  "urls": [],
  "includeBuiltInTechDirectory": true,
  "deduplicateMultiLocationJobs": true,
  "maxJobsPerCompany": 15,
  "maxTotalJobs": 300
}
```

***

### Why developers switch to this Actor

| | This Actor (`data-goose`) | Multi-ATS browser / cached scrapers (`fantastic-jobs`, `parseforge`, etc.) |
|---|---|---|
| **Architecture** | Pure HTTP + native JSON APIs across 9 ATS engines, **128 MB** RAM | Headless Chrome (2–8 GB RAM) or 24-hour stale cached feeds |
| **Zero-Config Auto-Detection** | ✅ Paste bare company names (`stripe`, `nvidia`, `openai`, `palantir`, `BoschGroup`) or domains (`stripe.com`)—auto-detects the ATS via our 235+ company built-in directory, parallel API probing, and career page HTML scan | ❌ Requires you to know which ATS each company uses and paste exact ATS URLs |
| **Unified 31-Field Schema** | ✅ Every job from Workday, Greenhouse, Ashby, Lever, SmartRecruiters, Workable, Recruitee, Breezy HR & Rippling shares the exact same 31 fields | ❌ Different schemas per ATS |
| **B2B Enrichment (`companyDomain` & `recruiterEmails`)** | ✅ Derives root `companyDomain` (`stripe.com`, `nvidia.com`, `openai.com`) and extracts `recruiterEmails` for instant Clay / Apollo / CRM joins | ❌ Missing |
| **Change Monitor + Closed Job Tracking** | ✅ `onlyNewJobs` emits net-new postings and records `closedJobCount` + `closedJobKeys` in `RUN_SUMMARY` at no extra cost | ❌ Charges $20+/mo extra for expired job tracking |

***

### Input

| Field | Type | Default | Description |
|---|---|---|---|
| `urls` | array | `["stripe", "nvidia", "openai", "palantir", "ServiceNow"]` | Any mix of company names, corporate domains, or ATS board URLs |
| `includeBuiltInTechDirectory` | boolean | `false` | Scan 235+ verified companies across all 9 ATS platforms |
| `keywordFilter` | string | – | Case-insensitive regex, comma/pipe OR terms, and `-exclude` tokens (e.g. `"engineer, ai, -intern"`) |
| `excludeKeywordFilter` | string | – | Comma-separated keywords or regex excluded from job titles (e.g. `"Senior, Staff, Director"`) |
| `departmentFilter` | string | – | Substring match on department names |
| `locationFilter` | string | – | Substring match on job locations |
| `remoteOnly` | boolean | `false` | Only jobs classified as `Remote` |
| `publishedAfter` | string | – | `YYYY-MM-DD`. Keeps jobs published on or after this date |
| `deduplicateMultiLocationJobs` | boolean | `false` | Merge identical `(companyToken, title, department)` postings across cities into one item |
| `onlyNewJobs` | boolean | `false` | Change monitor: emit only net-new jobs and record closed jobs in `RUN_SUMMARY` |
| `monitorName` | string | `"default"` | Separate state key for each watchlist or scheduled task |
| `maxJobsPerCompany` | integer | `15` | Cap per company board (`0` = automatic fair share across boards) |
| `maxTotalJobs` | integer | `75` | Maximum total jobs across the run |

***

### Output (Unified 31-Field Schema)

```json
{
  "id": "JR1988123",
  "type": "Full-time",
  "title": "Senior Deep Learning Systems Engineer",
  "description": "NVIDIA is searching for a Senior Deep Learning Systems Engineer...",
  "locations": ["US, CA, Santa Clara"],
  "department": "Engineering",
  "postingUrl": "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Deep-Learning-Systems-Engineer_JR1988123",
  "applyUrl": "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Deep-Learning-Systems-Engineer_JR1988123/apply",
  "publishedAt": "2026-11-04",
  "ats": "workday",
  "companyToken": "nvidia",
  "companyName": "NVIDIA",
  "companyDomain": "nvidia.com",
  "internalJobId": "a1b2c3d4e5f6",
  "requisitionId": "JR1988123",
  "updatedAt": "2026-11-04",
  "isRemote": false,
  "workplaceType": "On-site",
  "departments": ["Engineering"],
  "offices": ["US, CA, Santa Clara"],
  "salaryMin": 184000.0,
  "salaryMax": 287500.0,
  "salaryCurrency": "USD",
  "salaryInterval": "year",
  "salaryFormatted": "USD 184,000 - 287,500 / year",
  "salaryRanges": [
    {
      "min": 184000.0,
      "max": 287500.0,
      "currency": "USD",
      "interval": "year",
      "title": null,
      "blurb": "The base salary range is 184,000 USD - 287,500 USD.",
      "formatted": "USD 184,000 - 287,500 / year",
      "source": "description"
    }
  ],
  "recruiterEmails": [],
  "metadata": {
    "tenant": "nvidia",
    "wdCluster": "wd5",
    "siteId": "NVIDIAExternalCareerSite"
  },
  "isNew": true,
  "descriptionHtml": "<p>NVIDIA is searching for a Senior Deep Learning Systems Engineer...</p>",
  "questions": null
}
```

***

### Pricing (Pay-Per-Event — No Monthly Subscription)

This Actor uses transparent **Pay-Per-Event** pricing. You only pay for jobs actually written to your dataset—**filtered-out records and already-seen records (`onlyNewJobs: true`) cost $0**.

| Plan Tier | Per Job (`apify-default-dataset-item`) | Cost per **1,000 Jobs** | Actor Start Fee (`apify-actor-start`) | Proxy Cost |
|---|---|---|---|---|
| **Free** | `$0.00150` | **$1.50** | `$0.005` | **$0** (no proxy needed) |
| **Bronze** | `$0.00125` | **$1.25** | `$0.005` | **$0** |
| **Silver** | `$0.00105` | **$1.05** | `$0.005` | **$0** |
| **Gold / Platinum / Diamond** | `$0.00085` | **$0.85** | `$0.005` | **$0** |

- **128 MB Memory Footprint:** Runs in pure async HTTP (`128 MB` RAM instead of `1–4 GB` headless browsers), reducing Apify compute usage by **8x–32x**.
- **Built-in Spend Cap Protection:** Use `maxTotalJobs` / `maxJobsPerCompany` or Apify's **Maximum cost per run** setting to cap spend to the exact cent.

***

### API Usage

#### Python (`apify-client`)

```python
import os
from apify_client import ApifyClient

client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("data-goose/career-site-job-scraper").call(run_input={
    "urls": ["stripe", "nvidia", "openai", "palantir", "ServiceNow"],
    "keywordFilter": "engineer, ai, -intern",
    "deduplicateMultiLocationJobs": True,
    "maxJobsPerCompany": 15,
})

for job in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(job["ats"], "|", job["companyName"], "|", job["companyDomain"], "|", job["title"], "|", job["salaryFormatted"])
```

#### n8n / Make (HTTP Request)

- **Method:** `POST`
- **URL:** `https://api.apify.com/v2/acts/data-goose~career-site-job-scraper/run-sync-get-dataset-items`
- **Headers:** `Authorization: Bearer {{APIFY_TOKEN}}`, `Content-Type: application/json`
- **Body:**

```json
{
  "urls": ["stripe", "nvidia", "openai", "palantir", "ServiceNow"],
  "remoteOnly": true,
  "onlyNewJobs": true,
  "monitorName": "multi-ats-daily"
}
```

#### cURL

```bash
curl -X POST "https://api.apify.com/v2/acts/data-goose~career-site-job-scraper/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"urls": ["stripe", "nvidia", "openai", "palantir", "ServiceNow"], "maxJobsPerCompany": 15}'
```

***

### Explore the Data Goose Scraper Suite (128 MB Pure-HTTP)

All published Actors below run in **128 MB RAM** with zero browser overhead and deterministic schemas (all ATS & Job scrapers share the **exact same 31-field output schema**):

| Actor | Target Platform & Primary Use Case |
| :--- | :--- |
| [All-in-One ATS Job Scraper (9 Platforms) (`data-goose/career-site-job-scraper`)](https://apify.com/data-goose/career-site-job-scraper) | **All-in-One Router**: auto-detects & scrapes all 9 ATS platforms from any company domain or URL |
| [Workday Jobs Scraper: Unlimited API & Salaries (`data-goose/workday-job-scraper`)](https://apify.com/data-goose/workday-job-scraper) | **Workday**: Fortune 500 & global enterprises (`>2,000` facet bypass + 100+ built-in boards) |
| [Greenhouse Jobs Scraper (Fast API & Salaries) (`data-goose/greenhouse-job-scraper`)](https://apify.com/data-goose/greenhouse-job-scraper) | **Greenhouse**: High-growth tech & unicorns (US + EU API, `pay_transparency` salaries) |
| [Lever Jobs Scraper (US & EU Postings API) (`data-goose/lever-job-scraper`)](https://apify.com/data-goose/lever-job-scraper) | **Lever**: Tech & scaleups (US + EU fallback, native `salaryRange` + combined lists) |
| [Ashby Job Scraper (YC Startups & Salaries) (`data-goose/ashby-job-scraper`)](https://apify.com/data-goose/ashby-job-scraper) | **Ashby**: AI startups & YC companies (`includeCompensation=true` structured salary tiers) |
| [SmartRecruiters Jobs Scraper (Enterprise API & Salaries) (`data-goose/smartrecruiters-job-scraper`)](https://apify.com/data-goose/smartrecruiters-job-scraper) | **SmartRecruiters**: Global enterprises (ServiceNow, Bosch, Experian, Eurofins) |
| [Rippling Jobs Scraper (ATS Boards & Salaries) (`data-goose/rippling-job-scraper`)](https://apify.com/data-goose/rippling-job-scraper) | **Rippling ATS**: Modern startups & scaleups (`/api/v1/board/{slug}/jobs` + pay ranges) |
| [Workable Jobs Scraper: Direct API & Salaries (`data-goose/workable-job-scraper`)](https://apify.com/data-goose/workable-job-scraper) | **Workable**: Mid-market & European tech (v3 list + v2 detail orchestration) |
| [Recruitee Jobs Scraper (Bulk API, Salaries & Emails) (`data-goose/recruitee-job-scraper`)](https://apify.com/data-goose/recruitee-job-scraper) | **Recruitee**: European & remote-first companies (single-call `/api/offers` JSON) |
| [Breezy HR Jobs Scraper (Salaries & Hiring Emails) (`data-goose/breezyhr-job-scraper`)](https://apify.com/data-goose/breezyhr-job-scraper) | **Breezy HR**: SMB & agencies (live `/json` feeds + full descriptions, no 100-item cap) |

> **Looking for our E-Commerce, Lead Enrichment, Financial & Trend Scrapers?** Browse all published 128 MB pure-HTTP scrapers on the [Data Goose Apify Store Profile](https://apify.com/data-goose).

***

### Support & Custom Contracting

- 🐛 **Bugs & feature requests:** open an issue on the Actor's **Issues** tab or email us.
- 📧 **datagoosedev@gmail.com** — we reply within one business day.

# Actor input Schema

## `urls` (type: `array`):

Paste any mix of corporate domains (stripe.com, nvidia.com, openai.com), bare company names (stripe, nvidia, openai, palantir, BoschGroup, blueground, bunq, mukuru, rippling), or direct ATS URLs across Workday, Greenhouse, Ashby, Lever, SmartRecruiters, Workable, Recruitee, Breezy HR, and Rippling.

## `includeBuiltInTechDirectory` (type: `boolean`):

Automatically scan 235+ verified companies across all 9 ATS platforms (Stripe, Anthropic, NVIDIA, Salesforce, OpenAI, Linear, Palantir, Spotify, ServiceNow, Bosch, Blueground, Rippling, etc.) in addition to your input list. Optional: you can always paste any company above, whether or not it's in this list.

## `keywordFilter` (type: `string`):

Optional case-insensitive regex, comma/pipe-separated OR terms, and -exclude tokens matched against job title and description (e.g. 'engineer, ai, -intern').

## `excludeKeywordFilter` (type: `string`):

Case-insensitive regex or comma-separated keywords to exclude from job titles (e.g. 'Senior, Staff, Director').

## `departmentFilter` (type: `string`):

Optional case-insensitive substring matched against department names.

## `locationFilter` (type: `string`):

Optional case-insensitive substring matched against job locations (e.g. San Francisco, New York, London, Remote).

## `remoteOnly` (type: `boolean`):

Only return jobs classified as Remote.

## `publishedAfter` (type: `string`):

Only return jobs published on or after this ISO date (YYYY-MM-DD).

## `deduplicateMultiLocationJobs` (type: `boolean`):

Collapses identical (companyToken, title, department) postings across multiple cities into a single dataset item with all locations merged.

## `onlyNewJobs` (type: `boolean`):

Persists seen job IDs in a named Key-Value Store ('career-site-job-monitor-state'), outputs only net-new jobs since your previous run, and records closed/expired jobs in RUN_SUMMARY.

## `monitorName` (type: `string`):

Identifier for the change-monitor state key so multiple scheduled tasks can track separate watchlists.

## `maxJobsPerCompany` (type: `integer`):

Cap the number of jobs extracted per company board. 0 = automatic fair share across boards.

## `maxTotalJobs` (type: `integer`):

Maximum total jobs to output across the entire run.

## Actor input object example

```json
{
  "urls": [
    "stripe",
    "nvidia",
    "openai",
    "palantir",
    "BoschGroup"
  ],
  "monitorName": "default",
  "maxJobsPerCompany": 15,
  "maxTotalJobs": 75
}
```

# Actor output Schema

## `jobs` (type: `string`):

No description

## `runSummary` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "urls": [
        "stripe",
        "nvidia",
        "openai",
        "palantir",
        "BoschGroup"
    ],
    "maxJobsPerCompany": 15,
    "maxTotalJobs": 75
};

// Run the Actor and wait for it to finish
const run = await client.actor("data-goose/career-site-job-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "urls": [
        "stripe",
        "nvidia",
        "openai",
        "palantir",
        "BoschGroup",
    ],
    "maxJobsPerCompany": 15,
    "maxTotalJobs": 75,
}

# Run the Actor and wait for it to finish
run = client.actor("data-goose/career-site-job-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "urls": [
    "stripe",
    "nvidia",
    "openai",
    "palantir",
    "BoschGroup"
  ],
  "maxJobsPerCompany": 15,
  "maxTotalJobs": 75
}' |
apify call data-goose/career-site-job-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,data-goose/career-site-job-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/a9K00TDRBivFWPIwO/builds/5mbXJm2uwZL81D8SD/openapi.json