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LinkedIn Assessment Scraper

This Python script, scrape.py, allows you to scrape questions from a LinkedIn Assessment page and generate a file.txt file to view the questions clearly and then copy them to chat GPT to provide answers.

Dependancies

To use this script, you will need the following dependencies installed:

  • Python (tested on version 3.7.0)
  • beautifulsoup4 (can be installed using pip install beautifulsoup4)

Getting Started

To get started with this project, follow the steps below:

  1. Clone this repository to your local machine.

  2. Install the required packages using pip install -r requirements.txt.

  3. Copy the code of the LinkedIn Assessment page you want to scrape by going to the page, right-clicking and selecting "View Page Source". Alternatively, you can use the Developer Tools in your browser to view the source code.

  4. Save the source code as index.html in the same directory as scrape.py.

  5. Run the script using python scrape.py.

  6. The scraped questions will be saved in file.txt in the same directory.

Contributing

If you would like to contribute to this project, please follow the steps below:

  1. Fork this repository.

  2. Create a new branch (git checkout -b feature/my-new-feature).

  3. Make your changes and commit them (git commit -am 'Add some feature').

  4. Push to the branch (git push origin feature/my-new-feature).

  5. Create a new Pull Request.