# LinkedIn Jobs Scraper - Full Details, Salary, Tech Stack (`centorprat/linkedin-jobs-scraper`) Actor

Scrape LinkedIn job listings by keyword and location (date, remote/hybrid, job type, experience filters): title, company, location, salary, full description, seniority, employment type, applicants, plus department and tech stack. No login.

- **URL**: https://apify.com/centorprat/linkedin-jobs-scraper.md
- **Developed by:** [Centor Prat](https://apify.com/centorprat) (community)
- **Categories:** Jobs, Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.34 / 1,000 jobs

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 Scraper - Full Details, Salary, Tech Stack

**Scrape LinkedIn job listings by keyword and location, with full details.** Filters: date posted (24h / week / month),
remote / hybrid / on-site, job type, experience level, most recent or most relevant. One row per job: title, company,
company URL and logo, location, posted date, salary, **full description**, seniority, employment type, job function,
industries, applicant count, plus our extras: **department**, **seniority class**, **tech stack mentioned** in the
description (languages, cloud, data, AI, CRM...), **remote flag** and an **annualized salary range**. No login, no cookies.

### 📥 Input

| Field | Meaning |
|---|---|
| `keywords` | Searches, e.g. `["python developer", "data engineer"]` |
| `locations` | e.g. `["United States"]`, `["London, England"]`, `["Worldwide"]` |
| `maxJobs` | Per keyword x location (up to ~1,000) |
| `datePosted`, `workplaceType`, `jobType`, `experienceLevel`, `sortBy` | Filters |
| `includeDetails` | Open each posting for description, criteria, applicants, salary (default on) |
| `excludeKeywords` | Drop jobs whose title/company contains these |
| `proxyConfiguration` | Optional Apify Proxy for very large runs |

```json
{ "keywords": ["data engineer"], "locations": ["United States"], "datePosted": "pastWeek", "workplaceType": ["remote"], "maxJobs": 200 }
```

### 💰 Pricing

Pay per job returned (`job` event). Empty searches are free.

### 🤖 API / agents

```bash
curl -X POST "https://api.apify.com/v2/acts/centorprat~linkedin-jobs-scraper/run-sync-get-dataset-items?token=<YOUR_APIFY_TOKEN>" \
     -H "Content-Type: application/json" -d '{"keywords": ["react developer"], "locations": ["Germany"], "maxJobs": 20}'
```

MCP: `https://mcp.apify.com/?tools=actors,docs,centorprat/linkedin-jobs-scraper`

### ❓ FAQ

- **Login needed?** No. It reads LinkedIn's public (logged-out) job listings and postings. No personal profiles.
- **How many jobs?** LinkedIn's public search returns up to ~1,000 per search; use several keywords/locations for more.

### 🔗 Related actors

- [LinkedIn Hiring Signals](https://apify.com/centorprat/linkedin-hiring-signals-intelligence): company-level hiring intelligence and buying intent.

# Actor input Schema

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

Job search keywords, one search per line, e.g. \["python developer", "data engineer"]. Leave empty to list every job in the location.

## `locations` (type: `array`):

Where, e.g. \["United States"], \["London, England"], \["Remote"], \["Worldwide"]. Each keyword is searched in each location.

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

Up to this many jobs per keyword x location (LinkedIn's public search goes up to ~1,000).

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

Only jobs posted in this window.

## `workplaceType` (type: `array`):

Keep jobs with any of these workplace types.

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

Keep these job types.

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

Keep these experience levels.

## `sortBy` (type: `string`):

Order of results.

## `includeDetails` (type: `boolean`):

Open every posting for the description, seniority, employment type, function, industries, applicants and salary (slower).

## `excludeKeywords` (type: `array`):

Drop jobs whose title or company contains any of these, e.g. \["intern", "recruiter"].

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

For very large runs: route through Apify Proxy (uses your proxy plan) if LinkedIn starts rate-limiting.

## Actor input object example

```json
{
  "keywords": [
    "data engineer"
  ],
  "locations": [
    "United States"
  ],
  "maxJobs": 10,
  "datePosted": "any",
  "sortBy": "relevance",
  "includeDetails": true,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `jobs` (type: `string`):

One row per LinkedIn job: title, company, location, posted date, salary, description, seniority, employment type, function, industries, applicants, department, tech stack, remote flag.

# 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": [
        "data engineer"
    ],
    "locations": [
        "United States"
    ],
    "maxJobs": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("centorprat/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 = {
    "keywords": ["data engineer"],
    "locations": ["United States"],
    "maxJobs": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("centorprat/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 '{
  "keywords": [
    "data engineer"
  ],
  "locations": [
    "United States"
  ],
  "maxJobs": 10
}' |
apify call centorprat/linkedin-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,centorprat/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/zcJtAOGwnAhiuoQfU/builds/zj0cgkkbkA7B0IIFo/openapi.json