# Remote Jobs Scraper (`sweet_rebel/remote-jobs-scraper`) Actor

- **URL**: https://apify.com/sweet\_rebel/remote-jobs-scraper.md
- **Developed by:** [Rajat Sharda](https://apify.com/sweet_rebel) (community)
- **Categories:** Jobs
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$10.00 / 1,000 job scrapeds

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 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

## Remote Jobs Scraper

An advanced, stable, and highly focused scraper that extracts the latest high-paying remote job postings, technical roles, design careers, and marketing gigs from RemoteOK (remoteok.com). Perfect for job boards, HR talent platforms, market research, and candidate lead generation.

### Features

- **Rich Job Details**: Extracts full position titles, hiring company names, job descriptions (truncated for dataset clean-up), tags, location requirements, and salaries.
- **Direct Application Links**: Captures the exact destination links for submitting resumes.
- **Extremely Stable**: Built on clean, structured API feeds with high-availability and zero browser sandboxing crashes.
- **Pay-Per-Event (PPE) Pricing**: Pay only for actual job postings fetched, minimizing wasted compute costs.

### Input Parameters

The Actor accepts the following input in JSON format:

| Field | Type | Required | Default | Description |
| :--- | :--- | :--- | :--- | :--- |
| `max_items` | Integer | No | `10` | The maximum number of remote job listings to scrape in a single run. |

#### Example Input

```json
{
  "max_items": 5
}
```

### Output Schema

The scraped data is pushed directly to your default Apify dataset in JSON format with the following fields:

| Field | Type | Description |
| :--- | :--- | :--- |
| `id` | String/Integer | Unique ID of the job listing. |
| `company` | String | Name of the hiring company. |
| `position` | String | Job title/position. |
| `description` | String | Safe, parsed description of the role (capped to 500 characters). |
| `tags` | Array | Categorization tags (e.g., `["react", "node", "javascript"]`). |
| `location` | String | Location requirements (e.g., "Worldwide", "US Only"). |
| `apply_url` | String | Application and job page link. |
| `salary_min` | Integer | Minimum estimated annual salary in USD (if provided). |
| `salary_max` | Integer | Maximum estimated annual salary in USD (if provided). |
| `date` | String | ISO timestamp of publication. |

#### Example Output

```json
{
  "id": "189203",
  "company": "Stripe",
  "position": "Senior Backend Engineer (Python)",
  "description": "Join the Stripe billing team to scale global transaction systems. Experience with high throughput distributed databases required...",
  "tags": ["python", "backend", "distributed-systems", "fintech"],
  "location": "North America",
  "apply_url": "https://remoteok.com/l/189203",
  "salary_min": 140000,
  "salary_max": 190000,
  "date": "2026-07-04T10:00:00Z"
}
```

### Pricing Configuration

This Actor utilizes Apify's **Pay-Per-Event (PPE)** monetization model.

- **Primary Event**: `job-scraped`
- **Cost**: **$0.010** per successfully scraped job listing.
- You only pay for what is successfully extracted and delivered to your dataset!

## Actor input object example

```json
{}
```

# 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("sweet_rebel/remote-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("sweet_rebel/remote-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 '{}' |
apify call sweet_rebel/remote-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=sweet_rebel/remote-jobs-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/1flybQhKRDZjcyEL1/builds/As11Cgtiiv9wdwqNO/openapi.json