Historical BVC Quotes Scraper

This project is a web scraper designed to extract historical quotes from the Bolsa de Valores de Cabo Verde (BVC). The scraper is implemented in a Jupyter Notebook using BeautifulSoup4 and requests to gather data, and pandas for data manipulation and analysis.

Table of Contents

• Installation
• Usage
• Data Storage
• Contributing
• License
• Scraped Data Table

Installation

1. Clone the repository:

   git clone https://github.com/AlvaroLima/bvc-quotes.git 
   cd historical-bvc-quotes-scraper

2. Create a virtual environment and activate it:

   python3 -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install the required packages:

   pip install -r requirements.txt

Usage

To run the scraper, open the Jupyter Notebook bvc_scraper.ipynb and execute the cells. The notebook will scrape the historical quotes data, clean it, and perform some basic exploratory data analysis.

Data Storage

The cleaned data is saved to a CSV file in the data folder for future analysis.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Scraped Data Table