# linkedin-jobs-scraper (`captivating_aster/linkedin-jobs-scraper`) Actor

- **URL**: https://apify.com/captivating\_aster/linkedin-jobs-scraper.md
- **Developed by:** [Nitin Sikarwar](https://apify.com/captivating_aster) (community)
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.01 / 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.

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

Extract comprehensive job postings from LinkedIn with ease. This Apify actor allows you to search and scrape detailed job data including job titles, company names, company profiles, locations, posting dates, and direct application links using advanced filtering options.

***

### 🌟 Features

- **No Login or Cookies Required:** Uses LinkedIn's public guest endpoint—zero risk to your personal LinkedIn account.
- **Granular Filtering:** Search by job title, role keywords, and location (country, city, or Remote).
- **Time-Specific Searches:** Filter job postings by date (Past 24 hours, Past week, Past month, or Any time).
- **Rich Data Extraction:** Extracts:
  - Job Title
  - Company Name
  - Company LinkedIn Profile URL
  - Location (City, State, Country, or Remote)
  - Posted Date & Relative Time ("2 hours ago", "3 days ago")
  - Direct Job URL & Unique Job ID
- **Automatic Deduplication:** Automatically discards duplicate job listings across search batches.
- **Instant Export:** Download your data in **CSV, Excel (XLSX), JSON, XML, or HTML** with 1 click.

***

### 📥 Input Configuration

| Field | Type | Default | Description | Example |
| :--- | :--- | :--- | :--- | :--- |
| **`keywords`** | `string` | `"Software Engineer"` | Search by job title, skill, or role | `"React Developer"` |
| **`location`** | `string` | `"United States"` | Target city, country, or remote | `"London"`, `"Remote"` |
| **`maxJobs`** | `integer` | `100` | Maximum number of job postings to extract | `250` |
| **`datePosted`**| `select` | `"all"` | Filter by post date | `"past-24h"`, `"past-week"` |

***

### 📤 Sample Output (JSON)

```json
[
  {
    "jobId": "3892817291",
    "title": "Senior Full Stack Engineer",
    "companyName": "Stripe",
    "companyUrl": "https://www.linkedin.com/company/stripe",
    "location": "San Francisco, CA (Remote)",
    "postedDate": "2026-09-25",
    "postedText": "2 days ago",
    "jobUrl": "https://www.linkedin.com/jobs/view/3892817291"
  }
]
```

***

### 💡 Use Cases

- **Lead Generation:** Identify fast-growing companies actively hiring in your target industry.
- **Recruitment & Headhunting:** Build targeted candidate and job databases for clients.
- **Job Board Aggregation:** Populate your own niche job boards with fresh daily listings.
- **Salary & Market Research:** Track hiring trends and competitor expansions in real time.

# Actor input Schema

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

e.g. Software Engineer, Data Scientist, Marketing Manager

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

e.g. United States, London, San Francisco, Remote

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

Maximum number of job postings to extract

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

Filter jobs by when they were posted

## Actor input object example

```json
{
  "keywords": "Software Engineer",
  "location": "United States",
  "maxJobs": 100,
  "datePosted": "all"
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("captivating_aster/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("captivating_aster/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 captivating_aster/linkedin-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,captivating_aster/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/z0uDFNFDNUt7xzHo3/builds/OgMXmTpfYnN7IHlL8/openapi.json