# 🔥Advance LinkedIn Jobs Scraper🔥 (`ramman/linkedin-jobs-scraper`) Actor

🔥Very Fast,  scrape LinkedIn job postings with filters for keywords, location, company, and job type. Get structured job data in JSON, CSV, or Excel.

- **URL**: https://apify.com/ramman/linkedin-jobs-scraper.md
- **Developed by:** [ramman](https://apify.com/ramman) (community)
- **Categories:** Automation, Jobs
- **Stats:** 13 total users, 1 monthly users, 100.0% runs succeeded, 1 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/platform/actors/running/actors-in-store#pay-per-usage

## 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

\##🔥LinkedIn Job Scraper🔥

Scrape job postings from LinkedIn with ease. This actor extracts detailed job information including title, company, location, experience level, job type, and more in structured formats.

**🚀 Features**

- Search jobs by keyword (e.g., "Software Engineer", "Data Scientist")
- Filter by location, company, experience level, job type, remote only
- Extract job title, company, location, link, date posted, experience level, job type

**🛠️ Input Example**

```json
{
  "jobKeywords": "software engineer",
  "location": "New York",
  "numberOfJobs": 50,
  "experienceLevel": "senior",
  "jobType": "full-time",
  "onlyRemote": false,
  "outputFormat": "json"
}
```

**📋 Input Parameters**

| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| `jobKeywords` | string | ✅ | "software engineer" | Job search keywords |
| `location` | string | ❌ | "" | Job location filter |
| `numberOfJobs` | number | ❌ | 50 | Jobs to scrape (1-1000) |
| `experienceLevel` | string | ❌ | "" | Experience level filter |
| `jobType` | string | ❌ | "" | Employment type filter |
| `onlyRemote` | boolean | ❌ | false | Remote jobs only |
| `outputFormat` | string | ❌ | "json" | Output format |

**📊 Output Example**

```json
{
  "title": "Senior Software Engineer",
  "company": "Tech Company",
  "location": "New York, NY",
  "datePosted": "2 days ago",
  "experienceLevel": "senior",
  "jobType": "full-time",
  "link": "https://linkedin.com/jobs/view/123456789"
}
```

**🎯 Use Cases**

- Build job boards or aggregators
- Research hiring trends
- Collect job leads for recruitment
- Track competitor hiring activities

# Actor input Schema

## `jobKeywords` (type: `string`):

Keywords to search for in job titles and descriptions

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

Location for job search (e.g., 'New York, NY', 'Remote', 'United States')

## `numberOfJobs` (type: `integer`):

Maximum number of jobs to scrape

## `jobPublishedAfter` (type: `string`):

Only show jobs published after this date (YYYY-MM-DD format)

## `companyName` (type: `string`):

Filter jobs by specific company name

## `onlyRemote` (type: `boolean`):

Filter to show only remote jobs

## `experienceLevel` (type: `string`):

Filter jobs by experience level

## `jobType` (type: `string`):

Filter jobs by employment type

## `outputFormat` (type: `string`):

Output format for the results

## 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("ramman/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("ramman/linkedin-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 ramman/linkedin-jobs-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/dPZS07THiGdjBjPbU/builds/xdcpTEUSwPq7p8wqA/openapi.json