LinkedIn Job Scraper (Apify Actor)

Overview

This Apify actor automates the collection of job listings from LinkedIn Jobs. It's built for developers, recruiters, or analysts who need structured job data programmatically. You provide search criteria, and it returns a clean, exportable dataset.

Key Features

• Scrapes LinkedIn Jobs based on customizable search filters.
• Returns structured data for each job listing (title, company, description, etc.).
• Handles pagination to collect results from multiple pages.
• Outputs data in formats like JSON, CSV, and XML via the Apify platform.

How to Use

Configure the actor's input with your search parameters (detailed below) and run it on the Apify platform. The actor will navigate LinkedIn, extract the data, and make the dataset available in your Apify dataset storage for download or further processing via API.

Input Parameters

Control the scrape using these input fields:

• Job Keywords (string): The job title or search terms. Example: "Python Developer"
• Location (string): The geographic location for the search. Example: "New York, USA"
• Maximum Pages (number, optional): Limits the number of result pages scraped. Defaults to all pages.
• Experience Level (string, optional): Filter by seniority (e.g., "Entry level", "Mid-Senior").
• Job Type (string, optional): Filter by employment type (e.g., "Full-time", "Contract").
• Company Size (string, optional): Filter by organization size (e.g., "Government").
• Date Posted (string, optional): Filter by posting date (e.g., "Past week").
• Remote Work (string, optional): Filter by work arrangement (e.g., "Remote", "Hybrid").
• Minimum Salary (string, optional): Filter by minimum salary if available on LinkedIn (e.g., "$40K+").

Output Data

The actor outputs an array of items, where each item is a structured object representing one job. Key fields include:

{
  "job_url": "https://www.linkedin.com/jobs/view/12345",
  "applicant_number": "82",
  "job_title": "Cyber Security Specialist",
  "company_name": "Example Corp",
  "company_url": "https://www.linkedin.com/company/example",
  "location": "New York, NY",
  "experience_level": "Mid-Senior level",
  "employment_type": "Full-time",
  "job_function": "Information Technology",
  "industries": "Financial Services",
  "job_description": "Full job description text...",
  "date_posted": "2023-10-26"
}