# RemoteOK Tech Jobs, Salaries & Hiring Leads Radar (`authoritative_glen/remoteok-jobs-salaries-leads-radar`) Actor

Extract live remote tech jobs, verified salary benchmarks (min/max USD), hiring companies, tags, and direct apply links from RemoteOK. MCP & AI Agent ready.

- **URL**: https://apify.com/authoritative_glen/remoteok-jobs-salaries-leads-radar.md
- **Developed by:** [Rahmad Rizki](https://apify.com/authoritative_glen) (community)
- **Categories:** Developer tools, Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage

## 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

## RemoteOK Tech Jobs, Salaries & Hiring Leads Radar

Extract live remote tech jobs, verified salary benchmarks (min/max USD), hiring companies, tech tags, and direct application links directly from RemoteOK without requiring login or browser emulation.

Built natively for **AI Agents (Model Context Protocol / MCP)**, recruitment agencies, B2B sales development teams (SDRs), remote job board aggregators, and tech career seekers.

***

### 🚀 Key Capabilities

- **💼 Real-Time Remote Job Listings:** Extract active opportunities across Software Engineering, AI & Machine Learning, Frontend/Backend, DevOps, Product Design, Marketing, Sales, and Operations.
- **💰 Verified Salary Benchmarks:** Real annual salary ranges in USD (`salaryMin`, `salaryMax`, and human-readable `salaryFormatted`, e.g. `$100,000 - $140,000/yr`) for compensation research.
- **🏢 Hiring Company Intelligence:** Identify companies actively hiring with logos, company names, and direct careers links.
- **🏷️ Tech Stack & Skill Tags:** Full array and stringified tags (e.g. `python`, `react`, `ai`, `postgres`, `senior`, `engineer`).
- **🌍 Flexible Geographic Filtering:** Search jobs open Worldwide or restricted to specific regions (`US`, `Europe`, `LATAM`, `APAC`).
- **🔗 Direct Application URLs:** Direct links to original employer application pages and RemoteOK job postings.
- **⚡ Fast, High-Throughput & Zero Login:** High-speed cloud execution with zero proxy requirements and anti-block resilience.
- **🤖 MCP & AI Agent Native:** Structured JSON schema ready for instant ingestion into Claude Desktop, Cursor, ChatGPT, AutoGPT, and LangChain agents (`apify-default-dataset-item`).

***

### 💼 Ideal Use Cases

1. **B2B Tech Lead Generation:** Identify growing tech startups and enterprises that are actively hiring talent (the strongest buying signal for B2B SaaS, developer tools, and consulting services).
2. **Compensation & Salary Benchmarking:** Monitor prevailing wage trends, salary ceilings, and geographic rate differences across tech roles.
3. **Automated Job Board Aggregation:** Populate niche remote job boards, Telegram notification bots, or newsletter roundups automatically on a daily schedule.
4. **Autonomous AI Job Hunting Agents:** Connect via MCP to empower AI agents to find matching jobs, evaluate salary requirements, and prepare personalized application materials.

***

### 📥 Input Parameters

| Parameter | Type | Default | Description |
|---|---|---|---|
| `tag` | String | `"all"` | Select category or tech stack: `all`, `dev`, `ai`, `engineer`, `react`, `python`, `design`, `marketing`, `sales`, `finance`, `crypto`, `non-tech`. |
| `searchQuery` | String | `""` | Optional keyword search across job titles, company names, and job descriptions (e.g. `senior`, `fullstack`, `lead`). |
| `minSalary` | Integer | `0` | Filter jobs with annual salary equal to or above this amount in USD (e.g. `100000`). |
| `locationFilter` | String | `""` | Optional geographic filter (e.g. `Worldwide`, `US`, `Europe`). |
| `maxResults` | Integer | `30` | Number of job listings to extract (1 to 100). |

***

### 📤 Output Dataset Schema

Each extracted item contains clean, standardized fields:

| Field | Type | Description |
|---|---|---|
| `id` | String | RemoteOK unique job listing ID |
| `slug` | String | URL slug for the job posting |
| `title` | String | Job title / position name |
| `company` | String | Hiring company name |
| `salaryMin` | Integer | Minimum annual compensation in USD (or 0) |
| `salaryMax` | Integer | Maximum annual compensation in USD (or 0) |
| `salaryFormatted` | String | Formatted salary range string (e.g. `$80,000 - $120,000/yr`) |
| `location` | String | Permitted work location or `Worldwide (Remote)` |
| `tags` | Array | Array of skill, category, and stack tags |
| `tagsString` | String | Comma-separated tags string |
| `postedDate` | String | ISO 8601 posting timestamp |
| `url` | String | Full RemoteOK job listing URL |
| `applyUrl` | String | Direct job application URL |
| `companyLogo` | String | URL of the hiring company's logo |
| `descriptionSnippet` | String | Clean plain-text snippet of the job requirements |
| `summary` | String | Compact single-line summary optimized for LLM context windows |

***

### 📋 Sample JSON Output

```json
[
  {
    "id": "1137597",
    "slug": "remote-front-end-developer-edconic-1137597",
    "title": "Front End Developer",
    "company": "Edconic",
    "salaryMin": 80000,
    "salaryMax": 100000,
    "salaryFormatted": "$80,000 - $100,000/yr",
    "location": "Worldwide (Remote)",
    "tags": [
      "other",
      "front end"
    ],
    "tagsString": "other, front end",
    "postedDate": "2026-10-28T21:53:15+00:00",
    "url": "https://remoteOK.com/remote-jobs/remote-front-end-developer-edconic-1137597",
    "applyUrl": "https://remoteOK.com/remote-jobs/remote-front-end-developer-edconic-1137597",
    "companyLogo": "https://remoteok.com/assets/jobs/1137597.png",
    "descriptionSnippet": "Job Title: Front-End Developer Location: Fully Remote (US) Department: Global Enrollment Marketing and Sales Reports to: Director of Technology. We are looking for an experienced Front-End Developer to join our product team...",
    "summary": "Front End Developer at Edconic (Worldwide (Remote)) | Salary: $80,000 - $100,000/yr | Tags: other, front end"
  }
]
```

***

### 🔌 AI Agent & Model Context Protocol (MCP) Integration

This Actor outputs clean structured datasets ready for direct consumption by AI Agents, LangChain, LlamaIndex, or AutoGPT via Apify's Model Context Protocol (MCP) server (`apify-default-dataset-item`).

Connect it to your agentic workflows to automatically alert on newly funded companies hiring remote developers or trigger tailored outreach campaigns.

# Actor input Schema

## `tag` (type: `string`):

Choose a primary job category or tech tag to filter listings.

## `searchQuery` (type: `string`):

Optional keyword search across job titles, company names, and descriptions (e.g. 'senior', 'lead', 'node', 'manager').

## `minSalary` (type: `integer`):

Filter jobs paying at or above this annual salary (USD). Set to 0 to include listings without listed salary or below.

## `locationFilter` (type: `string`):

Optional location filter (e.g. 'US', 'Europe', 'Worldwide', 'LATAM', 'APAC').

## `maxResults` (type: `integer`):

Number of job listings to extract (1 to 100).

## Actor input object example

```json
{
  "tag": "all",
  "searchQuery": "",
  "minSalary": 0,
  "locationFilter": "",
  "maxResults": 30
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("authoritative_glen/remoteok-jobs-salaries-leads-radar").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("authoritative_glen/remoteok-jobs-salaries-leads-radar").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 authoritative_glen/remoteok-jobs-salaries-leads-radar --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,authoritative_glen/remoteok-jobs-salaries-leads-radar"
        }
    }
}
```

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/XFag140bg0j1Vd4eA/builds/sHKmYdwvjdIg3K1dc/openapi.json