# LinkedIn Jobs & Hiring Intelligence Scraper (`unrivaled_fortress/linkedin-jobs-hiring-signals`) Actor

Scrape LinkedIn job postings without login or cookies. Extract job titles, hiring company, location, post date, and apply links for recruiting & B2B leads.

- **URL**: https://apify.com/unrivaled\_fortress/linkedin-jobs-hiring-signals.md
- **Developed by:** [David A](https://apify.com/unrivaled_fortress) (community)
- **Categories:** Jobs, Lead generation, Developer tools
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.95 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## ⚡ LinkedIn Jobs & Hiring Intelligence Scraper

Fast, reliable, zero-login LinkedIn job postings extractor. Discover hiring companies, open roles, seniority, and recruiter links without needing LinkedIn credentials, proxies, or headless browsers.

***

### 🎯 Key Use Cases

1. **B2B Lead Generation & Sales**: Companies currently hiring for specific technologies or executive roles have active budgets and purchasing power.
2. **Tech Recruiting & Staffing**: Monitor job openings across competitors and industries in real time.
3. **Market Trend Analysis**: Track demand for skills (e.g., Python, Kubernetes, Generative AI).

***

### ⚙️ Input Configuration

| Parameter | Type | Default | Description |
|---|---|---|---|
| `keywords` | Array | `["Python Developer"]` | Target job titles, skills, or departments. |
| `location` | String | `"United States"` | City, state, country, or "Remote". |
| `maxJobsPerKeyword` | Integer | `25` | Maximum job records to collect per query. |

***

### 📊 Output Dataset

Each record in the dataset contains:

- `keyword`: Target search term
- `jobTitle`: Title of the role
- `companyName`: Hiring company name
- `location`: Office location or remote status
- `postedDate`: Relative posting time
- `jobUrl`: Direct clean URL to the job posting
- `companyUrl`: Direct LinkedIn URL for the company profile

***

### 💼 Related B2B & Intelligence Suite

| Tool | Purpose | Link |
|---|---|---|
| **B2B Tech Stack Enricher** | Detect 120+ software tools & company contacts | [Run Actor](https://apify.com/unrivaled_fortress/b2b-company-tech-stack-enricher) |
| **GitHub Developer Email Hunter** | Find tech leads and engineers with public commit emails | [Run Actor](https://apify.com/unrivaled_fortress/github-developer-email-hunter) |
| **LinkedIn Company Employees** | Extract leadership & decision makers | [Run Actor](https://apify.com/unrivaled_fortress/linkedin-company-employees) |
| **Digital Footprint & OSINT** | Investigate email addresses & usernames | [Run Actor](https://apify.com/unrivaled_fortress/digital-footprint-osint-investigator) |

***

### ⭐️ Feedback & Support

If this Actor empowers your recruiting or sales pipeline, please leave a ⭐️⭐️⭐️⭐️⭐️ review on the Apify Store!

# Actor input Schema

## `keywords` (type: `array`):

Job titles, skills, or roles to search for (e.g., 'Python Developer', 'Head of Sales', 'AI Engineer').

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

Geographic location (e.g., 'United States', 'Remote', 'London, UK', 'Berlin, Germany').

## `maxJobsPerKeyword` (type: `integer`):

Maximum number of job postings to retrieve per keyword query.

## Actor input object example

```json
{
  "keywords": [
    "Python Developer",
    "Data Engineer"
  ],
  "location": "United States",
  "maxJobsPerKeyword": 25
}
```

# 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 = {
    "keywords": [
        "Python Developer",
        "Data Engineer"
    ],
    "location": "United States"
};

// Run the Actor and wait for it to finish
const run = await client.actor("unrivaled_fortress/linkedin-jobs-hiring-signals").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 = {
    "keywords": [
        "Python Developer",
        "Data Engineer",
    ],
    "location": "United States",
}

# Run the Actor and wait for it to finish
run = client.actor("unrivaled_fortress/linkedin-jobs-hiring-signals").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 '{
  "keywords": [
    "Python Developer",
    "Data Engineer"
  ],
  "location": "United States"
}' |
apify call unrivaled_fortress/linkedin-jobs-hiring-signals --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,unrivaled_fortress/linkedin-jobs-hiring-signals"
        }
    }
}
```

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/1q4kDMHFvmBpDVMvm/builds/8r92anxZYvrzknQSj/openapi.json