Web Scraper

A simple web scraper built with Python that extracts data from websites. This project serves as a demonstration of web scraping techniques using the requests and BeautifulSoup libraries.

Features

• Extracts text and HTML elements from specified web pages
• Handles pagination to scrape multiple pages
• Saves scraped data in various formats (CSV, JSON)
• Simple and easy-to-understand code structure

Installation

To get started, clone the repository:

gh repo clone G-ojies/simplewebscraper
cd simplewebscraper
Next, install the required dependencies:

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pip install -r requirements.txt
Make sure you have Python 3.x installed on your machine.

 Usage
To run the web scraper, execute the following command:

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python scraper.py
You can customize the scraper.py file to specify the target URL, the elements you want to scrape, and the output format.

 Examples
Here’s a simple example of how to use the scraper:

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import requests
from bs4 import BeautifulSoup

 Specify the URL
url = 'http://example.com'

 Send a request to the website
response = requests.get(url)

 Parse the content
soup = BeautifulSoup(response.text, 'html.parser')

 Find and print the title
title = soup.title.string
print(f'Title: {title}')
Contributing
Contributions are welcome! If you have suggestions for improvements or new features, please open an issue or submit a pull request.

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

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