This visualizer is a tool that can be used to track and analyze all your PayPal expenditures.

This project was used as a way to try out many more advanced python features such as:

• functools.reduce()
• map()
• dict and list comprehensions

BeautifulSoup library is used for HTML Parsing, while all visualization is done using Matplotlib.

To run this notebook follow these steps

1. First clone the repository: git clone https://github.com/bjoernpl/PaypalTransactionVisualizer.git
2. Navigate to the directory: cd PaypalTransactionVisualizer
3. Create a virtual environment with conda create --name payment_visualizer
4. Activate environment with conda activate payment_visualizer
5. Install requirements with python3 - m pip install -r requirements.txt
6. Install jupyter notebook in conda env conda install jupyter
7. Launch the notebook with jupyter notebook src/TransactionVisualizer.ipynb
8. Exchange the html in payments.html with you PayPal transaction html
9. Run all cells to see the results

1. Log in to your account at paypal.com
2. Navigate to paypal.com/myaccount/transactions
3. Choose the time frame you want to analyze
4. Right-click the completed transactions section and select inspect
5. Right-click

   <ul class="transactionList js_transactionList">

6. Select Edit as html followed by ctrl+a ctrl+c
7. Replace all text in payments.html with the copied text