Web Crawling with BeautifulSoup (BS4)

Project Details

This project demonstrates web crawling using BeautifulSoup (BS4). The main file for the project is WEB_CRAWLING_WITH_BS4.ipynb, which is a Jupyter Notebook containing the code for web crawling.

Description

This project showcases how to extract information from web pages using BeautifulSoup, a Python library for web scraping. It provides examples of how to parse HTML content, navigate the DOM tree, and extract desired data from web pages.

File

• WEB_CRAWLING_WITH_BS4.ipynb: Jupyter Notebook file containing the web crawling code.

Usage

To run the web crawling code:

1. Ensure you have Python installed.

2. Install the required libraries by running pip install beautifulsoup4 requests.

3. Clone this repository to your local machine.

4. Open WEB_CRAWLING_WITH_BS4.ipynb in Jupyter Notebook.

5. Follow the instructions in the notebook to execute the web crawling code.

Contributors

• Daniel Chime

View full project on GitHub