├── requirements.txt
├── web_scraper.py
└── README.md


/requirements.txt:
--------------------------------------------------------------------------------
1 | requests
2 | beautifulsoup4
3 | 


--------------------------------------------------------------------------------
/web_scraper.py:
--------------------------------------------------------------------------------
 1 | import requests
 2 | from bs4 import BeautifulSoup
 3 | 
 4 | def scrape_website(url):
 5 |     response = requests.get(url)
 6 |     soup = BeautifulSoup(response.text, 'html.parser')
 7 |     titles = soup.find_all('h2')
 8 |     
 9 |     print("Scraped Titles:")
10 |     for title in titles:
11 |         print(title.get_text())
12 | 
13 | def main():
14 |     url = 'https://example.com'  # Replace with the URL you want to scrape
15 |     scrape_website(url)
16 | 
17 | if __name__ == "__main__":
18 |     main()
19 | 


--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
 1 | # WebScraper
 2 | 
 3 | WebScraper is a basic Python application to scrape data from websites using BeautifulSoup.
 4 | 
 5 | ## Features
 6 | 
 7 | - Scrapes specified data from a given URL.
 8 | - Displays the scraped data in a user-friendly format.
 9 | 
10 | ## Installation
11 | 
12 | 1. Clone the repository:
13 |     ```bash
14 |     git clone https://github.com/YOUR_USERNAME/WebScraper.git
15 |     cd WebScraper
16 |     ```
17 | 
18 | 2. Install the required packages:
19 |     ```bash
20 |     pip install -r requirements.txt
21 |     ```
22 | 
23 | 3. Run the application:
24 |     ```bash
25 |     python web_scraper.py
26 |     ```
27 | 
28 | ## Requirements
29 | 
30 | - Python 3.x
31 | - `requests` library
32 | - `beautifulsoup4` library
33 | 
34 | ## License
35 | 
36 | This project is licensed under the MIT License.
37 | 


--------------------------------------------------------------------------------