# Linkedin Job Scraping (`quaking_pail/linkedin-job-scraping`) Actor

This Apify actor scrapes job listings from LinkedIn based on user-defined search parameters. It uses Selenium with a headless Chrome browser to navigate LinkedIn job pages and extract comprehensive job details.

- **URL**: https://apify.com/quaking_pail/linkedin-job-scraping.md
- **Developed by:** [AI_Builder](https://apify.com/quaking_pail) (community)
- **Categories:** Jobs, Automation
- **Stats:** 231 total users, 2 monthly users, 0.0% runs succeeded, 7 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $1.00 / 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.
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 Job Scraper Simple

This Apify actor scrapes job listings from LinkedIn based on user-defined search parameters. It uses Selenium with a headless Chrome browser to navigate LinkedIn job pages and extract comprehensive job details. The scraper is designed to run efficiently and handle multiple pages of job listings.

### Input Fields:

- **keywords**: Specific job titles or roles to search for.
- **location**: Geographical location for the job search.
- **max_pages**: Number of pages to scrape for job listings.
- **start_urls**: Optional URLs to start the scraping process.

### Output Fields:

- **Title**: The job title.
- **Company**: The company offering the job.
- **Location**: The location of the job.
- **Link**: Direct URL to the job listing.
- **Description**: Full job description extracted from the job listing.

The actor pushes the collected job data to the Apify dataset, making it easy to process or store the information for further use.

***

### Detailed Description

The LinkedIn Job Scraper Simple is an efficient tool designed to automate the extraction of job listings from LinkedIn. It leverages Selenium with a headless Chrome browser, ensuring a seamless and automated navigation through LinkedIn job pages to extract relevant job information.

#### How It Works

1. **Initialization**:
   - The actor begins by reading user-defined input parameters, such as keywords, location, max_pages, and optional start URLs.

2. **URL Building**:
   - It constructs the search URLs based on the input keywords and location, ensuring that the search query matches user requirements.

3. **Web Scraping**:
   - Using Selenium, the scraper navigates through the LinkedIn job listings, page by page, up to the specified maximum number of pages.
   - For each job listing, it captures the job title, company, location, link to the job listing, and the full job description.

4. **Data Storage**:
   - The extracted job data is then pushed to the Apify dataset, making it accessible for further processing or storage.

#### Key Features

- **Headless Browsing**:
  - Utilizes a headless Chrome browser to efficiently scrape data without the need for a graphical user interface, thereby reducing resource consumption.

- **Comprehensive Data Extraction**:
  - Extracts all essential job details, including the full job description, ensuring users get complete information.

- **Scalable and Efficient**:
  - Designed to handle multiple pages of job listings, making it suitable for extensive job searches.

***

### Example Input JSON

````json
{
    "keywords": "python developer",
    "location": "Paris",
    "max_pages": 2,
    "start_urls": [
        {
            "url": "https://apify.com"
        }
    ]
}

Example Output Fields
Title: "Senior Python Developer"
Company: "Tech Innovators Inc."
Location: "Paris, Île-de-France, France"
Link: "https://www.linkedin.com/jobs/view/senior-python-developer-1234567890"
Description: "As a Senior Python Developer, you will be responsible for..."

This actor is ideal for businesses, recruiters, and job seekers who want to automate their LinkedIn job search and data collection process. By using this tool, users can save time and effort in manually browsing through job listings and can quickly gather a large amount of relevant job data for further analysis or application.



# Actor input Schema

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

Specific job titles or roles to search for
## `location` (type: `string`):

Geographical location for the job search
## `max_pages` (type: `integer`):

Number of pages to scrape for job listings

## Actor input object example

```json
{
  "keywords": "SDR",
  "location": "Paris",
  "max_pages": 1
}
````

# 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("quaking_pail/linkedin-job-scraping").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("quaking_pail/linkedin-job-scraping").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 quaking_pail/linkedin-job-scraping --silent --output-dataset

```

## MCP server setup

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

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/q66j5SuwnLXV0MlQb/builds/uKZLq093dIaabzdIf/openapi.json