Scrape Glassdoor Interview Questions for a company of your interest and have GPT-4 summarize these questions for you.

• Customizable Query: Specify the company whose interview questions you're interested in, and the tool will fetch relevant questions from Glassdoor.
• GPT-4 Summarization: Utilizes the advanced capabilities of GPT-4 to provide clear, concise summaries of the fetched interview questions.
• Interactive Question Addition: Add your own questions about the interview process in a simple text file for personalized insights.

• An active OpenAI API key.
• Python environment capable of running the script.

1. Clone the repository to your local machine.
2. Install the required dependencies using Poetry: poetry install.

• Add your OpenAI API key to a .env file in the project directory.
• Set the base_url in main.py to the Glassdoor interview start page of the company you are interested in.

1. Add any specific questions you have regarding the interview process to questions.txt. There are some example questions already provided to get you started.
2. Run the script using the command: poetry run python main.py.
3. The script will first scrape Glassdoor for interview questions and then proceed to summarize them using GPT-4.

Pre-commit is used in this project to ensure that git commits adhere to a consistent style and prevent committing problematic code. The hooks configured in .pre-commit-config.yaml will automatically check and fix issues (where possible) in the staged files when you run git commit.

Using this project's pyproject.toml, poetry already installs pre-commit for you, so no need to take care of it manually!

If you want to run pre-commit manually, enter the poetry shell and use:

pre-commit run

Poetry is a tool for dependency management and packaging in Python. It allows you to declare the libraries your project depends on and it will manage (install/update) them for you. If you would like to add a package, simple run:

poetry add <name-of-dependency>

Contributions to enhance GlassdoorInterviewExpert are warmly welcomed. Whether it's bug fixing, feature adding, or documentation improvements, feel free to create a pull request.