LinkedIn-Jobs-Scraper

Scraping LinkedIn Jobs and return data in json format.

Bot/Scraper

LinkedIn Jobs Scraper
Project/Code is confidential you can contact me for more info

Table of Contents

• About the Project
  • Built With
• Getting Started
  • Prerequisites
  • Installation
• Usage
• Roadmap
• Contributing
• License
• Contact

About The Project

Code

Output Data

Built With

• Python
• Selenium
• request

Prerequisites

Installation

1. Clone the repo

git clone https://github.com/Zeeshanahmad4/LinkedIn-Jobs-Scraper.git

2. Install python packages

pip install Python
pip install selenium
pip install request

Usage

The scraper is for getting all the job info. You have to enter job title i.e Data science it will scrape all results against this search. The scraper will give output in JSON format which includes all the possible info about each job. YOU WILL NEED FIREFOX AND GECKO SELENIUM DRIVER TO RUN THIS SCRIPT. PLEASE PLACE THE SCRIPT AND DRIVER IN THE SAME FOLDER AND RUN THE SCRIPT USING PYCHARM OR ANY OTHER PYTHON IDE.

Contents

├── README.md
├── Jobs_Scraper.py(Full bot , this file is confidential please contact for more info)
├── Data Engineer Jobs linkedin.json (Sample data)

Roadmap

See the open issues for a list of proposed features (and known issues).

Contributing

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

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

License

Distributed under the MIT License. See LICENSE for more information.

Contact me