https://github.com/nisch-mhrzn/scraping

This project scrapes data from Wikipedia about the largest U.S. companies by revenue using Python's requests and BeautifulSoup libraries.
https://github.com/nisch-mhrzn/scraping

beautifulsoup python requests webscrapping

Last synced: 19 days ago
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This project scrapes data from Wikipedia about the largest U.S. companies by revenue using Python's requests and BeautifulSoup libraries.

• Host: GitHub
• URL: https://github.com/nisch-mhrzn/scraping
• Owner: nisch-mhrzn
• Created: 2024-12-04T12:37:57.000Z (29 days ago)
• Default Branch: main
• Last Pushed: 2024-12-04T14:37:57.000Z (29 days ago)
• Last Synced: 2024-12-04T15:34:37.570Z (29 days ago)
• Topics: beautifulsoup, python, requests, webscrapping
• Language: Jupyter Notebook
• Homepage:
• Size: 43 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Web Scraping Project: 

Largest Companies in the United States by Revenue

## Overview

This project involves scraping data from the Wikipedia page listing the largest companies in the United States by revenue. The data can be used for analysis, visualization, or other purposes.

## Requirements

To run this project, you'll need the following Python libraries:

- `requests`

- `beautifulsoup4`

You can install these libraries using pip:

```bash

pip install requests beautifulsoup4

```

## Usage

1. **Clone the repository** (if applicable):

   ```bash

   git clone https://github.com/nisch-mhrzn/Scraping.git

   cd Scraping

   ```

2. **Data Extraction**:

   The script fetches the HTML content from the specified Wikipedia URL and parses it to extract relevant information about the largest companies.

## Code Explanation

The main components of the script include:

- **Fetching the page**:

  ```python

  url = 'https://en.wikipedia.org/wiki/List_of_largest_companies_in_the_United_States_by_revenue'

  page = requests.get(url)

  ```

- **Parsing the HTML**:

  ```python

  soup = BeautifulSoup(page.text, 'html')

  ```