🚀 LinkedIn Job Scraper (No Login Required)

This is a powerful, lightweight, and efficient LinkedIn Job Scraper designed to extract job listings at scale without requiring a LinkedIn account. Perfect for lead generation, recruitment automation, and market research.

✨ Features

• No Login Required: Scrapes public listings, keeping your personal account safe from flagging.
• Full Job Details: Extracts the complete job description, not just the title.
• Advanced Filters: Filter by keyword, location, and date posted (24h, Week, Month).
• Professional Output: Includes Job Title, Company, Location, Job URL, Description (Text), and Description (HTML).
• Optimized for Cloud: Built with headless Selenium logic and automatic popup handling.
• Export Ready: Download results in JSON, CSV, Excel, or XML.

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📥 Input Parameters

To use this scraper, simply provide the following inputs in the control panel:

Field	Type	Description
Keyword	String	The job title or skill you are looking for (e.g., Software Engineer).
Location	String	The city, state, or country (e.g., United States or Remote).
Date Posted	Dropdown	Choose from: Last 24 hours, Past Week, or Past Month.

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📊 Output Example

The scraper provides structured data that fits perfectly into any workflow:

{
  "title": "Data Scientist",
  "company": "Burberry",
  "location": "London, England, United Kingdom",
  "url": "https://uk.linkedin.com/jobs/view/data-scientist-at-burberry-4365506705",
  "description_text": "Job description:JOB PURPOSE\nData is at the heart of how we understand our impact and plan our future. We are looking for a Data Scientist to join our Marketing Science team—the group responsible for providing our Marketing, Finance, and Digital teams with the evidence they need to move the brand forward. This is a technical role with a commercial edge. You will use advanced statistical modelling and optimisation to translate complex data into clear outcomes: from quarterly budget scenarios to daily digital attribution. Your work will ensure that every decision we make is backed by rigorous analysis and a deep understanding of our global marketing effectiveness. This role is a perfect launchpad for a high-achieving Graduate (Data Science, Stats, CS, or Engineering) or a junior professional looking to scale their career in a fast-paced, data-driven environment.",
  "description_html": "<strong>JOB PURPOSE</strong></p><p>Data is at the heart of how we understand our impact and plan our future. We are looking for a Data Scientist to join our Marketing Science team—the group responsible for providing our Marketing, Finance, and Digital teams with the evidence they need to move the brand forward. This is a technical role with a commercial edge. You will use advanced statistical modelling and optimisation to translate complex data into clear outcomes: from quarterly budget scenarios to daily digital attribution. Your work will ensure that every decision we make is backed by rigorous analysis and a deep understanding of our global marketing effectiveness. This role is a perfect launchpad for a high-achieving Graduate (Data Science, Stats, CS, or Engineering) or a junior professional looking to scale their career in a fast-paced, data-driven environment.</p>"
}

🛠 Maintenance & Support

LinkedIn frequently updates its interface. This Actor is actively monitored and maintained. If you encounter any issues or have feature requests, please report them in the Issues tab!