# Linkedin Jobs Scraper (`leadsbrary/linkedin-jobs-scraper`) Actor

From $0.30/1000 results. Cheapest LinkedIn Jobs scraper. Extract title, company, location, contract type, seniority, job function, industries, description & company URL. No login, no proxy.

- **URL**: https://apify.com/leadsbrary/linkedin-jobs-scraper.md
- **Developed by:** [Alexandre Manguis](https://apify.com/leadsbrary) (community)
- **Categories:** Jobs, Automation, Lead generation
- **Features:** Limited permissions
- **Stats:** 141 total users, 11 monthly users, 99.3% runs succeeded, 3 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $0.30 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
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 Scraper

Scrape [LinkedIn job listings](https://www.linkedin.com/jobs/) by keyword, location and filters — no login, no browser, no proxy required. Returns structured job data ready to export as JSON, CSV or Excel.

### ✨ What you get

- **Job details** — title, company name, location, posting date
- **Contract & seniority** — contract type (Full-time, Part-time, Contract…) and seniority level (Entry level, Mid-Senior, Director…)
- **Job function & industries** — functional area and industry sector of the role
- **Full description** — complete job description text
- **Company page** — direct link to the hiring company's LinkedIn page
- **Company logo** — image URL for visual identification
- **Direct job link** — clean LinkedIn job page URL (no tracking params)
- **Salary** — when displayed by the advertiser
- **Benefits** — perks listed on the job card (when available)

### 🔧 Inputs

| Field | Type | Description |
|---|---|---|
| `startUrl` | string | Paste any LinkedIn job search URL to use directly. All other filters are ignored if this is provided. |
| `keywords` | string | Job keywords (e.g. `French`, `Software Engineer`, `Marketing`) |
| `location` | string | City, region or country (e.g. `Malaga`, `Paris`, `United States`) |
| `geoId` | string | LinkedIn geo ID for precise matching — found in the URL after a search (e.g. `101124331` for Malaga) |
| `distance` | select | Search radius: Exact / 5 / 10 / **25** / 50 miles |
| `datePosted` | select | **Any time** / Past month / Past week / Past 24 hours |
| `jobType` | multi-select | Full-time, Part-time, Contract, Temporary, Volunteer, Internship |
| `experienceLevel` | multi-select | Internship, Entry level, Associate, Mid-senior level, Director, Executive |
| `workType` | multi-select | On-site, Remote, Hybrid |
| `maxResults` | number | Max listings to extract (default: `100`, max: `1000`) |
| `fetchDetails` | boolean | Fetch each job's detail page for richer data (default: `true`). Disable for fast listing-only scrapes. |

### 📦 Output

Each item in the dataset represents one job listing:

```json
{
  "id": "4399926638",
  "title": "Global Program Coordinator (USRAP)",
  "company": "IOM - UN Migration",
  "companyUrl": "https://www.linkedin.com/company/iom",
  "location": "Washington, United States",
  "postedAt": "2026-04-15",
  "contractType": "Full-time",
  "seniorityLevel": "Director",
  "jobFunction": "Management, Project Management, and Administrative",
  "industries": "International Affairs, Community Development and Urban Planning",
  "description": "The International Organization for Migration (IOM) is looking for a Global Program Coordinator...",
  "salary": null,
  "benefits": null,
  "url": "https://www.linkedin.com/jobs/view/global-program-coordinator-usrap-at-iom-un-migration-4399926638",
  "logo": "https://media.licdn.com/dms/image/v2/..."
}
```

#### Output fields reference

| Field | Description |
|---|---|
| `id` | LinkedIn job posting ID |
| `title` | Job title |
| `company` | Company name |
| `companyUrl` | Company's LinkedIn page URL |
| `location` | Job location (city, region, country) |
| `postedAt` | Posting date (ISO format when available) |
| `contractType` | Employment type: Full-time, Part-time, Contract, etc. |
| `seniorityLevel` | Seniority: Entry level, Mid-Senior level, Director, Executive… |
| `jobFunction` | Functional area: Engineering, Sales, Marketing… |
| `industries` | Industry sector(s) of the company |
| `description` | Full job description text |
| `salary` | Salary range when disclosed by the recruiter |
| `benefits` | Perks or benefits listed on the card |
| `url` | Direct link to the LinkedIn job page |
| `logo` | Company logo image URL |

### 🚀 Usage examples

**Search by keyword + location:**

```
keywords: French
location: Malaga
geoId: 101124331
distance: 25
datePosted: Past week
maxResults: 50
```

**Use a direct LinkedIn URL:**

```
startUrl: https://www.linkedin.com/jobs/search?keywords=developer&location=Paris&f_WT=2
```

**Fast listing-only scrape (no detail pages):**

```
keywords: Product Manager
location: London
maxResults: 200
fetchDetails: false
```

### Keywords

linkedin, linkedin jobs, job listings, job search, job scraper, recruitment, hiring, employment, career, job board, full-time, remote jobs, internship, entry level, lead generation

# Actor input Schema

## `startUrl` (type: `string`):

Paste a LinkedIn job search URL directly. If provided, all other filters below are ignored.

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

Job keywords to search for (e.g. 'French', 'Software Engineer', 'Marketing').

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

City, region or country (e.g. 'Malaga', 'Paris', 'United States').

## `geoId` (type: `string`):

LinkedIn geographic ID for precise location matching. Found in the URL when you search on LinkedIn (e.g. 101124331 for Malaga, 105015875 for Paris).

## `distance` (type: `string`):

Search radius in miles from the location center.

## `datePosted` (type: `string`):

Filter jobs by when they were posted.

## `jobType` (type: `array`):

Filter by employment type. Leave empty for all types.

## `experienceLevel` (type: `array`):

Filter by required experience level. Leave empty for all levels.

## `workType` (type: `array`):

Filter by work location type. Leave empty for all.

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

Maximum number of job listings to extract (1–1000).

## `fetchDetails` (type: `boolean`):

Fetch each job's detail page to extract description, contract type, seniority level, job function, industries and company URL. Slower but much richer data. Disable for fast listing-only scrapes.

## Actor input object example

```json
{
  "distance": "25",
  "datePosted": "any",
  "maxResults": 100,
  "fetchDetails": true
}
```

# Actor output Schema

## `results` (type: `string`):

Dataset containing all scraped LinkedIn job listings (title, company, location, date, salary, link…).

# 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("leadsbrary/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 = {}

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

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,leadsbrary/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/dOuGPTsMZzb5RhSTp/builds/taukzNw85rVFdP8r2/openapi.json