# NVIDIA Jobs Scraper (`moving_beacon-owner1/nvidia-jobs-scraper`) Actor
An **NVIDIA Workday job scraper (Apify actor)** collects job postings from NVIDIA’s careers site and filters them by keyword, title, or location. It outputs structured job data like title, location, job ID, URL, and optional full description and salary details.
- **URL**: https://apify.com/moving\_beacon-owner1/nvidia-jobs-scraper.md
- **Developed by:** [Jamshaid Arif](https://apify.com/moving_beacon-owner1) (community)
- **Categories:** Jobs, Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $10.00 / 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.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
Actors are written with capital "A".
## 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.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
## NVIDIA Jobs Scraper
An Apify actor that scrapes **NVIDIA** job postings from its public
[Workday](https://www.workday.com/) careers site.
### Input
All fields optional.
| Field | Type | Description |
| --- | --- | --- |
| `searchText` | string | Server-side Workday keyword (title/description). Empty = all jobs. |
| `locationFilter` | string | Keep only jobs whose location contains this text. E.g. `"Santa Clara"`, `"India"`. |
| `titleQuery` | string | Keep only jobs whose title contains this text. E.g. `"GPU"`. |
| `maxJobs` | integer | Stop after this many (filtered) jobs. NVIDIA lists thousands — set this unless you want everything. |
| `includeContent` | boolean | Fetch each detail page for full description / time type / req ID (one extra request per job). Default `true`. |
| `requestDelaySecs` | string | Politeness delay before each detail fetch (default `"0.2"`). |
| `impersonate` | string | curl_cffi TLS fingerprint (`chrome`, `chrome124`, `safari17_0`, …). Default `chrome`. |
| `proxyConfiguration` | object | Recommended for large/scheduled runs — Workday rate-limits big crawls. |
#### Example input
```json
{
"searchText": "deep learning",
"locationFilter": "Santa Clara",
"titleQuery": "engineer",
"maxJobs": 100,
"includeContent": true
}
````
### Output
One dataset item per job:
```json
{
"title": "Senior Deep Learning Engineer",
"company": "NVIDIA",
"location": "US, CA, Santa Clara",
"isRemote": false,
"postedOn": "Posted 5 Days Ago",
"reqId": "JR1998111",
"jobReqId": "JR1998111",
"timeType": "Full time",
"startDate": "2026-05-01",
"country": "United States of America",
"url": "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/...",
"descriptionHtml": "...
",
"descriptionText": "...",
"salary": { "min": 180000, "max": 280000, "currency": "USD", "raw": "$180,000 - $280,000" }
}
```
`timeType`, `startDate`, `country`, `descriptionHtml/Text`, and `salary` come
from the detail page and appear only when `includeContent` is on. `salary` is a
best-effort regex over the description and is `null` when no simple range is
present.
# Actor input Schema
## `searchText` (type: `string`):
Server-side keyword passed to Workday's search (matches title/description). Leave empty for all jobs.
## `locationFilter` (type: `string`):
Keep only jobs whose location contains this text (case-insensitive). E.g. "Santa Clara", "Remote", "India".
## `titleQuery` (type: `string`):
Keep only jobs whose title contains this text (case-insensitive). E.g. "GPU", "Manager".
## `maxJobs` (type: `integer`):
Stop after pushing this many (filtered) jobs. NVIDIA lists thousands, so set this unless you want everything.
## `includeContent` (type: `boolean`):
Fetch each posting's detail page for the full HTML + plain-text description, time type, and req ID. Adds one request per job.
## `requestDelaySecs` (type: `string`):
Politeness delay before each detail fetch. E.g. "0.2". Empty/0 = no delay.
## `impersonate` (type: `string`):
TLS/JA3 fingerprint to impersonate.
## `proxyConfiguration` (type: `object`):
Workday is generally open but rate-limits aggressively on big crawls. Use a proxy for large/scheduled runs.
## Actor input object example
```json
{
"searchText": "deep learning",
"locationFilter": "Santa Clara",
"titleQuery": "Engineer",
"maxJobs": 25,
"includeContent": true,
"requestDelaySecs": "0.2",
"impersonate": "chrome",
"proxyConfiguration": {
"useApifyProxy": true
}
}
```
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"searchText": "deep learning",
"locationFilter": "Santa Clara",
"titleQuery": "Engineer",
"maxJobs": 25,
"includeContent": true,
"requestDelaySecs": "0.2",
"impersonate": "chrome",
"proxyConfiguration": {
"useApifyProxy": true
}
};
// Run the Actor and wait for it to finish
const run = await client.actor("moving_beacon-owner1/nvidia-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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"searchText": "deep learning",
"locationFilter": "Santa Clara",
"titleQuery": "Engineer",
"maxJobs": 25,
"includeContent": True,
"requestDelaySecs": "0.2",
"impersonate": "chrome",
"proxyConfiguration": { "useApifyProxy": True },
}
# Run the Actor and wait for it to finish
run = client.actor("moving_beacon-owner1/nvidia-jobs-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"searchText": "deep learning",
"locationFilter": "Santa Clara",
"titleQuery": "Engineer",
"maxJobs": 25,
"includeContent": true,
"requestDelaySecs": "0.2",
"impersonate": "chrome",
"proxyConfiguration": {
"useApifyProxy": true
}
}' |
apify call moving_beacon-owner1/nvidia-jobs-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=moving_beacon-owner1/nvidia-jobs-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "NVIDIA Jobs Scraper",
"description": "An **NVIDIA Workday job scraper (Apify actor)** collects job postings from NVIDIA’s careers site and filters them by keyword, title, or location. It outputs structured job data like title, location, job ID, URL, and optional full description and salary details.",
"version": "0.0",
"x-build-id": "hhDHq4Ng46KRwGEK1"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/moving_beacon-owner1~nvidia-jobs-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-moving_beacon-owner1-nvidia-jobs-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/moving_beacon-owner1~nvidia-jobs-scraper/runs": {
"post": {
"operationId": "runs-sync-moving_beacon-owner1-nvidia-jobs-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/moving_beacon-owner1~nvidia-jobs-scraper/run-sync": {
"post": {
"operationId": "run-sync-moving_beacon-owner1-nvidia-jobs-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"searchText": {
"title": "Search text",
"type": "string",
"description": "Server-side keyword passed to Workday's search (matches title/description). Leave empty for all jobs."
},
"locationFilter": {
"title": "Location contains",
"type": "string",
"description": "Keep only jobs whose location contains this text (case-insensitive). E.g. \"Santa Clara\", \"Remote\", \"India\"."
},
"titleQuery": {
"title": "Title contains",
"type": "string",
"description": "Keep only jobs whose title contains this text (case-insensitive). E.g. \"GPU\", \"Manager\"."
},
"maxJobs": {
"title": "Max jobs",
"minimum": 1,
"type": "integer",
"description": "Stop after pushing this many (filtered) jobs. NVIDIA lists thousands, so set this unless you want everything."
},
"includeContent": {
"title": "Include full description",
"type": "boolean",
"description": "Fetch each posting's detail page for the full HTML + plain-text description, time type, and req ID. Adds one request per job.",
"default": true
},
"requestDelaySecs": {
"title": "Delay between detail requests (sec)",
"type": "string",
"description": "Politeness delay before each detail fetch. E.g. \"0.2\". Empty/0 = no delay.",
"default": "0.2"
},
"impersonate": {
"title": "Browser fingerprint (curl_cffi)",
"enum": [
"chrome",
"chrome124",
"chrome131",
"safari17_0",
"edge101"
],
"type": "string",
"description": "TLS/JA3 fingerprint to impersonate.",
"default": "chrome"
},
"proxyConfiguration": {
"title": "Proxy configuration",
"type": "object",
"description": "Workday is generally open but rate-limits aggressively on big crawls. Use a proxy for large/scheduled runs.",
"default": {
"useApifyProxy": true
}
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```