# Workday Jobs Scraper & API — $1 per 1,000 jobs (`dododata/workday-jobs-scraper`) Actor

Every open job from any company's Workday career page as clean JSON — 26 fields, pay ranges as numbers, remote flag, full description. $1 per 1,000 jobs.

- **URL**: https://apify.com/dododata/workday-jobs-scraper.md
- **Developed by:** [Dodo Data](https://apify.com/dododata) (community)
- **Categories:** Jobs, Automation, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.70 / 1,000 jobs

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

## Workday Jobs Scraper & API — $1 per 1,000 jobs

Get every open job from any company's **Workday** career page as clean JSON — **26 fields per job, 500 jobs from 1 company in 152 seconds**: title, department, locations, remote / hybrid flag, pay range as numbers, dates, apply URL and the full description as plain text.

Paste career-page URLs or company names. Jobs come straight from the employer's own Workday board: no aggregator, no duplicates, no expired listings. A Workday career site lists its 2,000 newest jobs at most. The listing gives title, location and date; the description, country and employment type come from each job's public page, so a full row costs one request per job — filters run on the listing first, so you only open (and pay for) the jobs that match.

### What you get

Ten real rows from the run of 2026-09-18 (descriptions shortened here to 160 characters; the dataset carries them in full):

```json
[
  {
    "id": "workday:nvidia.wd5/NVIDIAExternalCareerSite:JR2023541",
    "ats": "workday",
    "company": "nvidia.wd5/NVIDIAExternalCareerSite",
    "company_name": "IL00 Mellanox Technologies, Ltd.",
    "title": "Senior Opto-Mechanical Engineer",
    "department": null,
    "team": null,
    "location": "Israel, Yokneam",
    "locations": [
      "Israel, Yokneam"
    ],
    "country": "Israel",
    "workplace_type": null,
    "remote": null,
    "employment_type": "full-time",
    "experience_level": null,
    "salary_min": null,
    "salary_max": null,
    "salary_currency": null,
    "salary_period": null,
    "salary_text": null,
    "posted_at": "2026-09-17T00:00:00.000Z",
    "updated_at": null,
    "requisition_id": "JR2023541",
    "description": "NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled…",
    "apply_url": "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/Israel-Yokneam/Senior-Opto-Mechanical-Engineer_JR2023541",
    "url": "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/Israel-Yokneam/Senior-Opto-Mechanical-Engineer_JR2023541",
    "scraped_at": "2026-09-17T20:12:58.550Z"
  },
  {
    "id": "workday:nvidia.wd5/NVIDIAExternalCareerSite:JR2025707",
    "ats": "workday",
    "company": "nvidia.wd5/NVIDIAExternalCareerSite",
    "company_name": "TW07 NVIDIA Singapore Development PTE. Ltd. Taiwan Branch",
    "title": "Pre Production Engineer",
    "department": null,
    "team": null,
    "location": "Taiwan, Taipei",
    "locations": [
      "Taiwan, Taipei"
    ],
    "country": "Taiwan",
    "workplace_type": null,
    "remote": null,
    "employment_type": "full-time",
    "experience_level": null,
    "salary_min": null,
    "salary_max": null,
    "salary_currency": null,
    "salary_period": null,
    "salary_text": null,
    "posted_at": "2026-09-18T00:00:00.000Z",
    "updated_at": null,
    "requisition_id": "JR2025707",
    "description": "NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled…",
    "apply_url": "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/Taiwan-Taipei/Pre-Production-Engineer_JR2025707",
    "url": "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/Taiwan-Taipei/Pre-Production-Engineer_JR2025707",
    "scraped_at": "2026-09-17T20:12:58.593Z"
  },
  {
    "id": "workday:nvidia.wd5/NVIDIAExternalCareerSite:JR2025650",
    "ats": "workday",
    "company": "nvidia.wd5/NVIDIAExternalCareerSite",
    "company_name": "IN02 NVIDIA GraphicsPLtd,Pune",
    "title": "Senior Business Systems Analyst, SAP IBP Planning",
    "department": null,
    "team": null,
    "location": "2 Locations",
    "locations": [
      "2 Locations"
    ],
    "country": "India",
    "workplace_type": null,
    "remote": null,
    "employment_type": "full-time",
    "experience_level": null,
    "salary_min": null,
    "salary_max": null,
    "salary_currency": null,
    "salary_period": null,
    "salary_text": null,
    "posted_at": "2026-09-18T00:00:00.000Z",
    "updated_at": null,
    "requisition_id": "JR2025650",
    "description": "For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics. With our invention of the GPU - the engine of modern visual…",
    "apply_url": "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/India-Pune/Senior-Business-Systems-Analyst--SAP-IBP-Planning_JR2025650",
    "url": "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/India-Pune/Senior-Business-Systems-Analyst--SAP-IBP-Planning_JR2025650",
    "scraped_at": "2026-09-17T20:12:58.745Z"
  },
  {
    "id": "workday:nvidia.wd5/NVIDIAExternalCareerSite:JR2025831",
    "ats": "workday",
    "company": "nvidia.wd5/NVIDIAExternalCareerSite",
    "company_name": "TW07 NVIDIA Singapore Development PTE. Ltd. Taiwan Branch",
    "title": "Senior Mechanical Engineer",
    "department": null,
    "team": null,
    "location": "Taiwan, Taipei",
    "locations": [
      "Taiwan, Taipei"
    ],
    "country": "Taiwan",
    "workplace_type": null,
    "remote": null,
    "employment_type": "full-time",
    "experience_level": null,
    "salary_min": null,
    "salary_max": null,
    "salary_currency": null,
    "salary_period": null,
    "salary_text": null,
    "posted_at": "2026-09-18T00:00:00.000Z",
    "updated_at": null,
    "requisition_id": "JR2025831",
    "description": "NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled…",
    "apply_url": "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/Taiwan-Taipei/Senior-Mechanical-Engineer_JR2025831",
    "url": "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/Taiwan-Taipei/Senior-Mechanical-Engineer_JR2025831",
    "scraped_at": "2026-09-17T20:12:58.778Z"
  },
  {
    "id": "workday:nvidia.wd5/NVIDIAExternalCareerSite:JR2025893",
    "ats": "workday",
    "company": "nvidia.wd5/NVIDIAExternalCareerSite",
    "company_name": "2100 NVIDIA USA",
    "title": "PhD Research Intern, Hardware and Systems Architecture - 2027",
    "department": null,
    "team": null,
    "location": "US, CA, Santa Clara",
    "locations": [
      "US, CA, Santa Clara"
    ],
    "country": "United States of America",
    "workplace_type": null,
    "remote": null,
    "employment_type": "full-time",
    "experience_level": null,
    "salary_min": null,
    "salary_max": null,
    "salary_currency": null,
    "salary_period": null,
    "salary_text": null,
    "posted_at": "2026-09-17T00:00:00.000Z",
    "updated_at": null,
    "requisition_id": "JR2025893",
    "description": "NVIDIA’s development of the GPU in 1999 revolutionized the PC gaming industry, reshaped contemporary computer graphics, and transformed parallel computing. I…",
    "apply_url": "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/PhD-Research-Intern--Hardware-and-Systems-Architecture---2027_JR2025893",
    "url": "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/PhD-Research-Intern--Hardware-and-Systems-Architecture---2027_JR2025893",
    "scraped_at": "2026-09-17T20:12:59.111Z"
  },
  {
    "id": "workday:nvidia.wd5/NVIDIAExternalCareerSite:JR2023541",
    "ats": "workday",
    "company": "nvidia.wd5/NVIDIAExternalCareerSite",
    "company_name": "IL00 Mellanox Technologies, Ltd.",
    "title": "Senior Opto-Mechanical Engineer",
    "department": null,
    "team": null,
    "location": "Israel, Yokneam",
    "locations": [
      "Israel, Yokneam"
    ],
    "country": "Israel",
    "workplace_type": null,
    "remote": null,
    "employment_type": "full-time",
    "experience_level": null,
    "salary_min": null,
    "salary_max": null,
    "salary_currency": null,
    "salary_period": null,
    "salary_text": null,
    "posted_at": "2026-09-17T00:00:00.000Z",
    "updated_at": null,
    "requisition_id": "JR2023541",
    "description": "NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled…",
    "apply_url": "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/Israel-Yokneam/Senior-Opto-Mechanical-Engineer_JR2023541",
    "url": "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/Israel-Yokneam/Senior-Opto-Mechanical-Engineer_JR2023541",
    "scraped_at": "2026-09-17T20:12:58.550Z"
  },
  {
    "id": "workday:nvidia.wd5/NVIDIAExternalCareerSite:JR2025707",
    "ats": "workday",
    "company": "nvidia.wd5/NVIDIAExternalCareerSite",
    "company_name": "TW07 NVIDIA Singapore Development PTE. Ltd. Taiwan Branch",
    "title": "Pre Production Engineer",
    "department": null,
    "team": null,
    "location": "Taiwan, Taipei",
    "locations": [
      "Taiwan, Taipei"
    ],
    "country": "Taiwan",
    "workplace_type": null,
    "remote": null,
    "employment_type": "full-time",
    "experience_level": null,
    "salary_min": null,
    "salary_max": null,
    "salary_currency": null,
    "salary_period": null,
    "salary_text": null,
    "posted_at": "2026-09-18T00:00:00.000Z",
    "updated_at": null,
    "requisition_id": "JR2025707",
    "description": "NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled…",
    "apply_url": "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/Taiwan-Taipei/Pre-Production-Engineer_JR2025707",
    "url": "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/Taiwan-Taipei/Pre-Production-Engineer_JR2025707",
    "scraped_at": "2026-09-17T20:12:58.593Z"
  },
  {
    "id": "workday:nvidia.wd5/NVIDIAExternalCareerSite:JR2025650",
    "ats": "workday",
    "company": "nvidia.wd5/NVIDIAExternalCareerSite",
    "company_name": "IN02 NVIDIA GraphicsPLtd,Pune",
    "title": "Senior Business Systems Analyst, SAP IBP Planning",
    "department": null,
    "team": null,
    "location": "2 Locations",
    "locations": [
      "2 Locations"
    ],
    "country": "India",
    "workplace_type": null,
    "remote": null,
    "employment_type": "full-time",
    "experience_level": null,
    "salary_min": null,
    "salary_max": null,
    "salary_currency": null,
    "salary_period": null,
    "salary_text": null,
    "posted_at": "2026-09-18T00:00:00.000Z",
    "updated_at": null,
    "requisition_id": "JR2025650",
    "description": "For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics. With our invention of the GPU - the engine of modern visual…",
    "apply_url": "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/India-Pune/Senior-Business-Systems-Analyst--SAP-IBP-Planning_JR2025650",
    "url": "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/India-Pune/Senior-Business-Systems-Analyst--SAP-IBP-Planning_JR2025650",
    "scraped_at": "2026-09-17T20:12:58.745Z"
  },
  {
    "id": "workday:nvidia.wd5/NVIDIAExternalCareerSite:JR2025831",
    "ats": "workday",
    "company": "nvidia.wd5/NVIDIAExternalCareerSite",
    "company_name": "TW07 NVIDIA Singapore Development PTE. Ltd. Taiwan Branch",
    "title": "Senior Mechanical Engineer",
    "department": null,
    "team": null,
    "location": "Taiwan, Taipei",
    "locations": [
      "Taiwan, Taipei"
    ],
    "country": "Taiwan",
    "workplace_type": null,
    "remote": null,
    "employment_type": "full-time",
    "experience_level": null,
    "salary_min": null,
    "salary_max": null,
    "salary_currency": null,
    "salary_period": null,
    "salary_text": null,
    "posted_at": "2026-09-18T00:00:00.000Z",
    "updated_at": null,
    "requisition_id": "JR2025831",
    "description": "NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled…",
    "apply_url": "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/Taiwan-Taipei/Senior-Mechanical-Engineer_JR2025831",
    "url": "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/Taiwan-Taipei/Senior-Mechanical-Engineer_JR2025831",
    "scraped_at": "2026-09-17T20:12:58.778Z"
  },
  {
    "id": "workday:nvidia.wd5/NVIDIAExternalCareerSite:JR2025893",
    "ats": "workday",
    "company": "nvidia.wd5/NVIDIAExternalCareerSite",
    "company_name": "2100 NVIDIA USA",
    "title": "PhD Research Intern, Hardware and Systems Architecture - 2027",
    "department": null,
    "team": null,
    "location": "US, CA, Santa Clara",
    "locations": [
      "US, CA, Santa Clara"
    ],
    "country": "United States of America",
    "workplace_type": null,
    "remote": null,
    "employment_type": "full-time",
    "experience_level": null,
    "salary_min": null,
    "salary_max": null,
    "salary_currency": null,
    "salary_period": null,
    "salary_text": null,
    "posted_at": "2026-09-17T00:00:00.000Z",
    "updated_at": null,
    "requisition_id": "JR2025893",
    "description": "NVIDIA’s development of the GPU in 1999 revolutionized the PC gaming industry, reshaped contemporary computer graphics, and transformed parallel computing. I…",
    "apply_url": "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/PhD-Research-Intern--Hardware-and-Systems-Architecture---2027_JR2025893",
    "url": "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/PhD-Research-Intern--Hardware-and-Systems-Architecture---2027_JR2025893",
    "scraped_at": "2026-09-17T20:12:59.111Z"
  }
]
```

Pay fields are filled whenever the employer publishes a range; in that run none of the sampled boards did.

### What people use it for

- **Track who is hiring, and for what** — e.g. "every new engineering role at my target accounts since yesterday" as a sales or recruiting signal. Set **Posted within (days)** to 1 and schedule it daily.
- **Feed a job board, a newsletter or an AI agent with first-party jobs** — e.g. "remote data roles from these 300 companies", without scraping aggregators.
- **Benchmark pay and hiring plans** — e.g. "published pay ranges and open headcount by department across my competitors".

### Why not build it yourself

Building this yourself: the Workday source, its pagination and quirks, HTML descriptions, pay formats, de-duplication between runs — a day of work, then upkeep each time a field changes. This Actor: **$1.00 per 1,000 jobs**, and when something changes we fix it within 48 hours. Every Apify account includes $5 of free usage a month, so your first 5,000 jobs cost nothing.

**Founding price:** $1.00 per 1,000 jobs for the first 100 users. It then rises to $1.50. Users who joined at the founding price keep it.

### Proof

| | |
|---|---|
| Success rate (staging runs on Apify, 17–18 Sept 2026) | 99.7% — 3 runs, 1,576 requests, 4 failed attempts (all retried and delivered) |
| Last verified against live boards | 2026-09-18 |
| Typical run | 500 jobs from 1 company in about 2 min 30 s |
| Issues answered within | 6 hours |
| Changes fixed within | 48 hours |

Changelog at the bottom of this page — every fix is dated.

### What we deliberately do not collect

- No personal data. Recruiter names, mailboxes and creator fields are never read; e-mail addresses and phone numbers inside descriptions are replaced with `[email removed]` / `[phone removed]`.
- Public sources only: what the career page itself shows to any visitor. No logins, no candidate data, nothing behind authentication.
- Rate-limited: at most 5 requests a second.
- This Actor declares **limited permissions** — it can only write to its own dataset.

### How to run it

1. Click **Run**. The defaults read a sample board.
2. Replace them with your own **Workday career page URLs** — `https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite` — or list **Companies** by name (`nvidia.wd5/NVIDIAExternalCareerSite`). Hundreds of companies per run are fine.
3. Narrow with **Title keywords**, **Locations** (`remote`, `berlin`, `united kingdom`) and **Posted within (days)**. Jobs that do not match are never saved and never charged.
4. Set **Max rows** to cap the run — that is also your spend cap.
5. Download as JSON, CSV or Excel, or call it from the API or from an AI agent through the Apify MCP server. The `id` field is stable, so de-duplicating between runs is one line.

A company name that does not exist is reported in the log and skipped; it does not fail the run. Need several systems in one run (Greenhouse, Lever, Ashby, Workday, SmartRecruiters and seven more)? Use the Career Site Jobs Scraper below — same rows, same price.

### Related Actors

- [Career Site Jobs Scraper](https://apify.com/dododata/career-site-jobs-scraper) — the same rows from twelve career-page systems in one run
- [France Travail Jobs Scraper](https://apify.com/dododata/francetravail-jobs-scraper) — French public-service job offers with salary as numbers

### Input reference

| Field | Default | Meaning |
|---|---|---|
| `startUrls` | sample board | Workday career-page URLs |
| `companies` | none | Company names as they appear in the career-page URL |
| `keywords` | none | Keep jobs whose title contains one of these words |
| `locations` | none | Keep jobs whose location, country or workplace type contains one of these |
| `postedWithinDays` | none | Keep jobs published in the last N days |
| `includeDescription` | true | Turn off for lighter rows — on Workday this also skips the per-job request |
| `maxItems` | 500 | Stop after this many rows |
| `maxConcurrency` | 5 | Parallel requests |
| `useProxy` | true | Use Apify proxy (recommended) |

### Changelog

- 2026-09-18 — v0.1 — first release. Verified against live boards on 17 and 18 September 2026.

# Actor input Schema

## `startUrls` (type: `array`):

Career pages hosted on Workday — e.g. https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite. Any page of the board works; the company is read from the URL. Leave empty to try the Actor on sample boards.

## `companies` (type: `array`):

Alternative to URLs: the company's name on Workday, as it appears in the career-page URL — e.g. nvidia.wd5/NVIDIAExternalCareerSite

## `keywords` (type: `array`):

Keep only jobs whose title contains one of these words (case and accents ignored), e.g. engineer, data, product. Filtered-out jobs are not saved and not charged.

## `locations` (type: `array`):

Keep only jobs whose location, country or workplace type contains one of these, e.g. london, germany, remote.

## `postedWithinDays` (type: `integer`):

Keep only jobs first published (or updated, when no publish date exists) in the last N days. Use 1 with a daily schedule to get only new jobs.

## `includeDescription` (type: `boolean`):

Turn off for lighter rows when you only need titles, locations and pay.

## `maxItems` (type: `integer`):

Stop after this many jobs across all boards. You pay per row, so this is also your budget cap.

## `maxConcurrency` (type: `integer`):

Parallel requests. 5 is polite and fast enough for most sites.

## `useProxy` (type: `boolean`):

Recommended. Turn off only for testing.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite"
    }
  ],
  "companies": [],
  "keywords": [],
  "locations": [],
  "includeDescription": true,
  "maxItems": 500,
  "maxConcurrency": 5,
  "useProxy": true
}
```

# Actor output Schema

## `results` (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 = {
    "startUrls": [
        {
            "url": "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite"
        }
    ],
    "companies": [],
    "keywords": [],
    "locations": []
};

// Run the Actor and wait for it to finish
const run = await client.actor("dododata/workday-jobs-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 = {
    "startUrls": [{ "url": "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite" }],
    "companies": [],
    "keywords": [],
    "locations": [],
}

# Run the Actor and wait for it to finish
run = client.actor("dododata/workday-jobs-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 '{
  "startUrls": [
    {
      "url": "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite"
    }
  ],
  "companies": [],
  "keywords": [],
  "locations": []
}' |
apify call dododata/workday-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,dododata/workday-jobs-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/EetKkDFqprZidUAXg/builds/qdlKYyX6heWTio3Fy/openapi.json