The project is a web scraper that extracts job information from the website "https://djinni.co/jobs/" and generates several data analyses based on the job listings using pandas library in Jupyter Notebook.
The script scrapes the job listings' titles, companies, salaries, technologies, and locations. The data is then cleaned and transformed into a structured dataframe. The dataframe is then used to create data visualizations to analyze the top job technologies, job locations, and number of jobs per company.
git clone https://github.com/MaybeTI/Djinni-Python-technologies-statistics.git
python -m venv venv
venv\Scripts\activate (on Windows)
source venv/bin/activate (on macOS)
pip install -r requirements.txt
python parser.py
jupyter notebook
