# Global Job Monitor (RemoteOK, Arbeitnow, Remotive) (`mocha_tassel/global-job-monitor`) Actor

Watches public job APIs worldwide and returns only postings that appeared since your last run. Filter by keyword and location, schedule hourly, get a webhook — no LinkedIn login, no residential proxy war.

- **URL**: https://apify.com/mocha\_tassel/global-job-monitor.md
- **Developed by:** [Niko T.](https://apify.com/mocha_tassel) (community)
- **Categories:** Jobs, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $8.00 / 1,000 new jobs

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?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## Global Job Monitor (RemoteOK, Arbeitnow, Remotive)

![global-job-monitor](https://api.apify.com/v2/key-value-stores/yfnvtbimUC1yUnStx/records/global-job-monitor.png?signature=1QD8UYvNdk4I5EspFFpoT)

Watches **public job APIs** and returns **only postings that appeared since your last run**.

No LinkedIn session, no Indeed HTML war, no residential proxy bill. Recruiters and job hunters schedule it hourly and get a webhook when a matching role shows up.

### Sources

| Source | Coverage |
| --- | --- |
| RemoteOK | Remote / tech, public JSON |
| Arbeitnow | EU-heavy board, public JSON |
| Remotive | Remote roles, public JSON |

### Filters

- Keywords (title, company, tags)
- Location substring (`Germany`, `EU`, `Remote`)
- Remote-only switch

### Setup

1. Set keywords (and optional location).
2. First run returns the current matches so you can see the shape.
3. Schedule it. Later runs emit only genuinely new jobs.

Turn **Return everything on the first run** off if the webhook should stay silent until the first real new posting.

### Pricing

Small fee per job scanned, larger fee per new job returned.

### Legal note

Data comes from the boards' public APIs. You are responsible for how you contact employers.

***

### Deutsch

Nur neue Stellen aus öffentlichen APIs (RemoteOK, Arbeitnow, Remotive). Keyword + Ort, Zeitplan, Webhook. Kein LinkedIn-Scraping.

# Actor input Schema

## `keywords` (type: `string`):

Match title, company or tags. Separate with spaces or commas, for example python, django remote.

## `location` (type: `string`):

Substring match on the job location field, for example Germany, EU or Remote.

## `sources` (type: `array`):

Public JSON APIs. Leave all selected for the widest net.

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

Keep only jobs marked as remote.

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

How many items to process in one run. Higher is more thorough but slower and more expensive.

## `emitAllOnFirstRun` (type: `boolean`):

On a fresh monitor name, return the current stock so the dataset is not empty. Turn off if you only want later deltas.

## `webhookUrl` (type: `string`):

Optional HTTPS endpoint. Matching results are sent as a JSON POST.

## `stateKey` (type: `string`):

Separate histories when watching several searches in parallel.

## Actor input object example

```json
{
  "keywords": "engineer",
  "sources": [
    "remoteok",
    "arbeitnow",
    "remotive"
  ],
  "remoteOnly": false,
  "maxItems": 100,
  "emitAllOnFirstRun": true,
  "stateKey": "default"
}
```

# Actor output Schema

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

No description

## `summary` (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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("mocha_tassel/global-job-monitor").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("mocha_tassel/global-job-monitor").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 '{}' |
apify call mocha_tassel/global-job-monitor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,mocha_tassel/global-job-monitor"
        }
    }
}

```

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/RNKRs9cQKBo4RiO0c/builds/CIrXZKsL2euD6IANy/openapi.json