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WebLinkedInScraper

WebLinkedInScraper: A LinkedIn Web scraper built with Selenium and Spring Boot.

Contributors Forks Stargazers Issues

About The Project 🤔

WebLinkedInScraper is a powerful and versatile web scraping tool designed to extract profile and post information from LinkedIn. Whether you're a data enthusiast, researcher, or developer, this project can help you gather valuable insights and data from LinkedIn profiles and posts with ease.

Key Features:

  • Profile Scraper: Obtain detailed information from LinkedIn user profiles, including name, job title, location, education, work experience, and more.

  • Post Scraper: Extract data from LinkedIn posts, including text content.

  • User-Friendly: Our scraper is designed to be user-friendly and easy to configure. We provide clear documentation to help you get started quickly.

  • Customizable: Tailor the scraper to your specific needs by selecting the data elements you want to extract.

  • Open Source: This project is open-source, giving you the freedom to modify and extend its functionality to suit your requirements.

Why WebLinkedInScraper?

LinkedIn is a valuable source of professional data and insights. Whether you're conducting market research, tracking industry trends, or building a networking database, WebLinkedInScraper simplifies the process by automating the data extraction. By using this tool, you can save time and focus on analyzing the information you collect.

💻 Tech Stack:

This project is built with a powerful combination of these tech stacks.

Java
Spring Boot
Selenium

🌟 Getting Started 🌟

README is WIP. check back soon :)

Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

  1. Fork the Project
  2. Create your Feature Branch (git checkout -b <branch_name>)
  3. Commit your Changes (git commit -m 'Add some AmazingFeature')
  4. Push to the Branch (git push origin <branch_name>)
  5. Open a Pull Request

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Special Thanks to 🙏🎉:

Stargazers:

Stargazers repo roster for @mharisraza/WebLinkedInScraper

Forkers:

Forkers repo roster for @mharisraza/WebLinkedInScraper

Made with 💖 by Muhammad Haris 🙋‍♂️