https://github.com/bhaskarbharati/web-scraping-project

"Web scraping project using Python, BeautifulSoup, and pandas."
https://github.com/bhaskarbharati/web-scraping-project

data-science jupyter-notebook portfolioproject python3 webscrapping

Last synced: 2 months ago
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"Web scraping project using Python, BeautifulSoup, and pandas."

• Host: GitHub
• URL: https://github.com/bhaskarbharati/web-scraping-project
• Owner: bhaskarbharati
• License: mit
• Created: 2025-04-08T21:15:12.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2025-04-08T22:21:44.000Z (over 1 year ago)
• Last Synced: 2025-04-10T03:07:50.229Z (over 1 year ago)
• Topics: data-science, jupyter-notebook, portfolioproject, python3, webscrapping
• Language: Jupyter Notebook
• Homepage:
• Size: 225 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Web Scraping & Data Analysis Project

![Project Preview](Output.png)

This project demonstrates how to extract data from a live website using Python and perform basic analysis using `pandas`.

## Overview

In this project, I used **BeautifulSoup** and **requests** to scrape tabular data from a live website (https://en.wikipedia.org/wiki/List_of_largest_companies_in_the_United_States_by_revenue). The extracted HTML content was parsed and cleaned using **pandas**, followed by exporting the clean dataset to a CSV file.

## Technologies Used

- Python 3

- BeautifulSoup

- requests

- pandas

- Jupyter Notebook

## Key Skills Demonstrated

- Web scraping with BeautifulSoup

- HTML parsing and data extraction

- Data cleaning and transformation using pandas

- Exporting structured data to CSV

- Basic exploratory analysis

```

Web-Scraping-project/ 

├── WebScrapingTutorial.ipynb # Main Jupyter notebook with code and results

├── requirements.txt # Python libraries required to run the project

├── Companies.csv # Exported output data file from the scraping process

├── README.md # Detailed project overview and instructions 

├── LICENSE # License info for open-source use

├── .gitignore # Files to ignore in version control

```