# LinkedIn Jobs & Hiring Leads Scraper (`drain54/linkedin-jobs-scraper`) Actor

Scrape full job listings, company profiles, locations, seniority levels, employment types, and descriptions from LinkedIn without login or cookies.

- **URL**: https://apify.com/drain54/linkedin-jobs-scraper.md
- **Developed by:** [Indra Darmawan](https://apify.com/drain54) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 1,000 scraped linkedin job listings

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?

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 Leads Scraper 💼🎯

Scrape comprehensive job postings, company details, direct job URLs, seniority levels, employment types, and full job descriptions from LinkedIn **without requiring login, cookies, or browser automation**.

Designed for **B2B sales teams, recruitment agencies, job board aggregators, and HR tech platforms**.

***

### ⚡ What does LinkedIn Jobs Scraper do?

1. **Global Search by Title & Location:** Search for any job title (e.g. `Software Engineer`, `Account Executive`, `Product Manager`) across any country or worldwide.
2. **Rich Company & Job Metadata:** Extracts company names, company LinkedIn page URLs, locations, posted timestamps, and direct application links.
3. **Full Description & Criteria Ingestion:** Fetches complete role descriptions, required seniority levels, employment types (Full-time, Part-time, Contract), and target industries.
4. **No Account or Cookie Required:** Uses public guest APIs, meaning **zero risk of account bans or expired cookie maintenance**.
5. **Ultra-Fast & Cost-Efficient:** Built on lightweight HTTP parsing — runs in seconds with virtually zero compute overhead.

***

### 🚀 Key Features & Extracted Data

| Data Field | Description | Example Output |
|---|---|---|
| `jobId` | LinkedIn unique job identifier | `4419969671` |
| `title` | Full job title | `Senior Software Engineer – Go (Golang)` |
| `companyName` | Hiring company or organization | `General Motors` |
| `companyUrl` | Direct link to company profile | `https://www.linkedin.com/company/general-motors` |
| `location` | Workplace location / city / remote | `Warren, MI` |
| `postedAt` | Relative post time | `1 week ago` |
| `postedIso` | ISO formatted publication date | `2026-09-17` |
| `jobUrl` | Clean direct job posting URL | `https://www.linkedin.com/jobs/view/...` |
| `seniorityLevel` | Required experience level | `Mid-Senior level / Not Applicable` |
| `employmentType` | Job commitment type | `Full-time` |
| `jobFunction` | Department / function | `Engineering and Information Technology` |
| `industries` | Sector & industry tags | `Motor Vehicle Manufacturing, IT Services` |
| `description` | Full plaintext job description | `About the Role: General Motors is looking for...` |

***

### 💡 How to Use

1. Enter one or more **Job Titles or Search Keywords** (e.g. `Software Engineer`, `Sales Manager`).
2. Specify the **Job Location** (e.g. `United States`, `Germany`, `Jakarta`, or `Worldwide`).
3. Set **Max Jobs to Scrape** (e.g. 20, 50, 100).
4. Click **Start** or trigger via Apify API / Webhook.
5. Export results to **CSV, Excel, or JSON**.

***

### 📥 Sample Input

```json
{
  "searchTerms": [
    "Software Engineer",
    "DevOps Engineer"
  ],
  "location": "United States",
  "maxJobs": 20,
  "fetchFullDescription": true
}
```

***

### 📤 Sample Output

```json
{
  "jobId": "4419969671",
  "title": "Senior Software Engineer – Go (Golang)",
  "companyName": "General Motors",
  "companyUrl": "https://www.linkedin.com/company/general-motors",
  "location": "Warren, MI",
  "postedAt": "1 week ago",
  "postedIso": "2026-09-17",
  "jobUrl": "https://www.linkedin.com/jobs/view/senior-software-engineer-go-golang-at-general-motors-4419969671",
  "seniorityLevel": "Not Applicable",
  "employmentType": "Full-time",
  "jobFunction": "Engineering and Information Technology",
  "industries": "Motor Vehicle Manufacturing, Appliances, IT Services",
  "description": "About General Motors: We are innovating the future of mobility...",
  "searchTerm": "Software Engineer",
  "searchLocation": "United States",
  "scrapedAt": "2026-09-24T16:00:00Z"
}
```

***

### 🤝 Sinergi Ekosistem B2B Leads

Kombinasikan dengan Actor kami yang lain:

1. **LinkedIn Jobs Scraper** ➡️ Temukan perusahaan yang sedang ekspansi & butuh vendor baru.
2. **Website Contact Extractor** ➡️ Tarik email & telepon pengambil keputusan dari domain perusahaan tersebut.
3. Eksekusi kampanye outreach B2B dengan konversi tinggi!

# Actor input Schema

## `searchTerms` (type: `array`):

List of job titles or skills to search for (e.g. Software Engineer, Sales Manager, Data Scientist).

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

Geographic location or 'Worldwide' (e.g. United States, Germany, Jakarta, Remote).

## `maxJobs` (type: `integer`):

Maximum number of job listings to extract.

## `fetchFullDescription` (type: `boolean`):

Whether to fetch full job descriptions, seniority level, and industry criteria.

## `customProxyUrl` (type: `string`):

Optional custom proxy URL (e.g., http://user:pass@host:port).

## `proxyConfiguration` (type: `object`):

Proxy settings to avoid rate limits.

## Actor input object example

```json
{
  "searchTerms": [
    "Software Engineer"
  ],
  "location": "United States",
  "maxJobs": 20,
  "fetchFullDescription": true,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# 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 = {
    "searchTerms": [
        "Software Engineer"
    ],
    "location": "United States"
};

// Run the Actor and wait for it to finish
const run = await client.actor("drain54/linkedin-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 = {
    "searchTerms": ["Software Engineer"],
    "location": "United States",
}

# Run the Actor and wait for it to finish
run = client.actor("drain54/linkedin-jobs-scraper").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 '{
  "searchTerms": [
    "Software Engineer"
  ],
  "location": "United States"
}' |
apify call drain54/linkedin-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,drain54/linkedin-jobs-scraper"
        }
    }
}
```

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/anvDGnzWIAvhTODjo/builds/nJ0fgNOSCOamdGSVS/openapi.json