🧠 LinkedIn Job Scraper (Apify Actor)

📋 Overview

The LinkedIn Job Scraper is an Apify actor that automates the process of collecting job listings directly from LinkedIn Jobs. It’s designed for recruiters, job seekers, and data analysts who want structured, exportable job data without the time-consuming manual search.

Simply provide the job title, location, and other optional filters — and the scraper will return a clean, structured dataset containing detailed job information.

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⚙️ Input Parameters

You can control how and what the scraper collects using the following input options:

Parameter	Type	Description	Example
Job Keywords	string	The job title or keywords to search for on LinkedIn.	"Python Developer"
Location	string	The target location for job listings.	"New York, USA"
Maximum Pages	number (optional)	The maximum number of pages to scrape. Defaults to all available pages.	10
Experience Level	string (optional)	Filter by seniority level (e.g., Internship, Entry level, Associate, Mid-Senior, Director).	"Entry level"
Job Type	string (optional)	Filter by type of employment (e.g., Full-time, Part-time, Contract, Temporary).	"Full-time"
Company Size	string (optional)	Filter by company size (e.g., n-employees, Self-Employed, Government, Non-profit).	"Government"
Date Posted	string (optional)	Filter by when the job was posted (e.g., Past 24 hours, Past week, Past month).	"Past week"
Remote Work	string (optional)	Filter by work arrangement (e.g., Any, Remote, On-site, Hybrid).	"On-site"
Minimum Salary	String (optional)	Filter jobs based on minimum annual salary ($40K+, $60K+, $80K+, $100K+ if available on LinkedIn).	$40K+

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📤 Output Data

After execution, the scraper produces a structured dataset for each job listing, containing fields such as:

Field	Description
job_url	Direct link to the job posting on LinkedIn.
applicant_number	Number of applicants who have applied for the job.
job_title	Title of the job posting.
company_name	Name of the hiring company.
company_url	Link to the company’s LinkedIn page.
location	Location of the job.
experience_level	Level of experience required for the role.
employment_type	Type of job (Full-time, Contract, etc.).
job_function	Main job function or department.
industries	Relevant industries or sectors associated with the job.
job_description	Full text of the job description.
date_posted	When the job was posted on LinkedIn.

Output:
{
    "job_url": "https://www.linkedin.com/jobs/view/cyber-security-specialist-at-sotalent-4313373592",
    "applicant_number": "82",
    "job_title": "Cyber Security Specialist",
    "company_name": "SoTalent",
    "company_url": "https://www.linkedin.com/company/sotalentjobs?trk=public_jobs_topcard-org-name",
    "location": "New York, NY",
    "experience_level": "Mid-Senior level",
    "employment_type": "Full-time",
    "job_function": "Information Technology",
    "industries": "Financial Services",
    "job_description": "Job Title: Cyber Security SpecialistLocation: New York, NYType: Full timeOur client is looking for an experienced professional to support and strengthen our cyber governance function. In this role, you’ll help design, communicate, and deliver effective governance materials that bring clarity and insight to cyber risk management across the organization.Key ResponsibilitiesDevelop and maintain high-quality governance materials, including reports, dashboards, and presentations, for technology teams, executives, and board-level audiences.Translate complex cybersecurity and risk topics into clear, actionable insights that support informed decision-making.Support the development and maintenance of cyber risk metrics, KPIs, and performance indicators to measure program effectiveness.Monitor the performance of controls and identify areas for improvement or escalation.Partner with cross-functional teams — Cybersecurity, Risk, and Technology — to ensure consistent messaging and alignment with business priorities.Prepare executive and board-level updates that connect cyber activities to organizational objectives and risk strategy.Enhance governance reporting frameworks, data quality, and visualization methods to improve transparency and maturity.Contribute to the continuous improvement of the cyber governance and data reporting program.QualificationsBachelor’s degree in Cybersecurity, Risk Management, Marketing, or a related field.5+ years of experience in cyber governance, risk reporting, or cybersecurity communications.Strong analytical, problem-solving, and critical thinking abilities.Excellent communication and presentation skills, with the ability to simplify complex information.Proficiency in PowerPoint, Keynote, and data visualization tools such as Tableau or Power BI.Proven experience in stakeholder management and cross-functional collaboration.Preferred Certifications:PMP (Project Management Professional)Vendor or cybersecurity-related certifications",
    "date_posted": "October 17, 2025"
  }

All results are saved to the Apify dataset and can be exported in JSON, CSV, or Excel formats for further analysis or automation workflows.

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🚀 Why Use This Instead of Manual Searching?

Searching jobs manually on LinkedIn can be slow, repetitive, and inconsistent — especially when you’re trying to track hundreds of listings across different roles or locations. This scraper eliminates that hassle by:

• 🔍 Automating repetitive searches — no need to click through dozens of pages manually.
• ⚡ Gathering large amounts of data quickly — collect hundreds of job postings in minutes.
• 🧾 Exporting structured results — perfect for filtering, analysis, or tracking applications.
• 🕒 Saving time — focus on applying, not searching.

Whether you’re building a job dashboard, researching market trends, or finding your next opportunity, this tool provides accurate, up-to-date job data straight from LinkedIn — automatically.

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