# Workday Jobs Scraper: any company by name, keyword search (`umbrella_data/workday-jobs-scraper`) Actor

Get open jobs from any company that uses Workday, just by typing its name (built-in directory of Workday employers), its website or its careers link. Keyword search runs inside Workday, so it's fast and cheap. Full descriptions, locations, salary, only-new-jobs.

- **URL**: https://apify.com/umbrella_data/workday-jobs-scraper.md
- **Developed by:** [Josuar Ochoa](https://apify.com/umbrella_data) (community)
- **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.50 / 1,000 job delivereds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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: any company by name, with keyword search

Get the open jobs of **any company that hires through Workday**: NVIDIA, Walmart, Salesforce and thousands more.
Just type the **company name**. You don't need to hunt for its `myworkdayjobs.com` link.

### Why this one

- **Search by company name.** A built-in directory of Workday employers turns `walmart` into Walmart's Workday
  careers site. A company website or a Workday link also works.
- **Keyword search inside Workday.** Your search (e.g. `data scientist`) runs on Workday itself, like the search box
  on the careers page, so you get the matching jobs without downloading thousands of others.
- **Complete job data.** Full description as plain text, every location (not just "3 Locations"), employment type,
  remote type and salary ranges read from the description.
- **Only new jobs.** It remembers each company and search from your last run, so a daily schedule returns just the
  new postings.
- **Pay only for jobs delivered.** Companies that aren't found, or jobs removed by your filters, cost nothing.
- **Public careers data.** It reads the same public job listings that the company's Workday careers page shows to
  any visitor. No login and no personal data.

### Input

| Field | What it does |
|---|---|
| **Companies** | One per line: a name (`NVIDIA`), a website (`salesforce.com`), a Workday link (`https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite`), or `workday:nvidia.wd5/NVIDIAExternalCareerSite`. |
| Search | A keyword search run by Workday, for example `data scientist`. |
| Locations | Keep jobs whose location contains any of these (`Texas`, `Germany`, `Remote`). |
| Remote jobs only | Keep only remote jobs. |
| Posted within the last N days | Workday shows "Posted N days ago". Anything older than 30 days counts as 30. |
| Only new jobs since my last run | Per company and search. |
| Include job description | Adds the full description, exact locations, type and remote info. Turn it off for faster runs. |
| Max jobs per company | `0` means all matching jobs. |

### Output (one row per job)

A real row (description shortened):

```json
{
  "company": "Nvidia",
  "companySlug": "nvidia.wd5/NVIDIAExternalCareerSite",
  "ats": "workday",
  "jobId": "JR2019886",
  "title": "Principal Data Scientist - Cloud Gaming and AI",
  "department": null,
  "team": null,
  "employmentType": "Full time",
  "seniority": null,
  "locations": [
    "US, CA, Santa Clara",
    "US, CA, Remote"
  ],
  "city": null,
  "region": null,
  "country": "United States of America",
  "countryCode": null,
  "remote": null,
  "workplaceType": null,
  "postedAt": "2026-06-22",
  "updatedAt": null,
  "url": "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Principal-Data-Scientist---Cloud-Gaming-and-AI_JR2019886",
  "applyUrl": "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Principal-Data-Scientist---Cloud-Gaming-and-AI_JR2019886",
  "salary": {
    "min": 248000,
    "max": 379500,
    "currency": "USD",
    "interval": "year",
    "text": "248,000 USD - 379,500 USD",
    "source": "description"
  },
  "postedAtApprox": "Posted 30+ Days Ago",
  "description": "Join the NVIDIA GeForce NOW cloud team that allows users to play high-quality PC games on various devices, without the need for a dedicated ...",
  "isNew": null,
  "input": "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite",
  "searchText": "data",
  "scrapedAt": "2026-10-28T02:58:48.986297+00:00"
}
```

The run's key-value store has a **SUMMARY** record listing every company: how it was found (`directory`,
`website` or `link`), its Workday site, and how many jobs were found and delivered.

### Pricing

Pay per job delivered. See the **Pricing** tab for the current price.

### FAQ

**My company wasn't found by name.** Paste its Workday careers link (it looks like
`https://company.wd5.myworkdayjobs.com/SiteName`) or its website. The directory covers thousands of employers but
not every one. Open an issue and we'll add the company.

**Not on Workday?** Use our [Company Jobs Scraper](https://apify.com/umbrella_data/company-jobs-any-ats). It covers
Greenhouse, Lever, Ashby, SmartRecruiters, Workable, Recruitee, Personio and Breezy, plus Workday, in the same format.

# Actor input Schema

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

One per line: a company name (NVIDIA, Walmart), its website (salesforce.com), or its Workday careers link (https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite). Names are matched against a built-in directory of Workday employers.

## `searchText` (type: `string`):

Keyword search done by Workday itself, like the search box on the careers page (e.g. data scientist). Leave empty for all jobs.

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

Keep only jobs whose location contains any of these (e.g. Texas, Germany, Remote).

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

Keep only jobs marked as remote.

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

0 = any date. Workday shows 'Posted N days ago'; 30+ counts as 30.

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

For daily schedules: returns (and charges) only jobs that weren't there last time, per company and search.

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

Full description, exact locations, employment type and remote type (one extra request per job). Turn off for faster runs.

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

0 = all matching jobs.

## Actor input object example

```json
{
  "companies": [
    "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite",
    "walmart",
    "salesforce"
  ],
  "remoteOnly": false,
  "postedWithinDays": 0,
  "onlyNewJobs": false,
  "includeDescription": true,
  "maxJobsPerCompany": 0
}
```

# Actor output Schema

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

One row per open job, same fields for every ATS.

## `summary` (type: `string`):

ATS found, jobs found and delivered per company, and inputs that were not found.

# 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 = {
    "companies": [
        "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite",
        "walmart",
        "salesforce"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("umbrella_data/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 = { "companies": [
        "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite",
        "walmart",
        "salesforce",
    ] }

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

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,umbrella_data/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/twH4yiXCv8MJwxKm6/builds/0pVfz7F9LF5j4zOK1/openapi.json
