This project is a simple Python-based web scraping tool that extracts information from web pages. It utilizes the requests library to send HTTP requests and the BeautifulSoup library to parse HTML content and extract data.
- Scrape Web Pages: Extract information from web pages by providing the URL.
- Flexible Data Extraction: Customize data extraction logic based on HTML structure.
- Error Handling: Handle errors gracefully during the scraping process.
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Clone the repository:
git clone https://github.com/your_username/web-scraping-tool.git
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Navigate to the project directory:
cd web-scraping-tool
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Install dependencies:
pip install requests beautifulsoup4
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Initialize the
WebScraper
with the URL of the web page you want to scrape:url = "https://example.com" scraper = WebScraper(url)
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Use the
scrape()
method to extract information from the web page:scraped_data = scraper.scrape()
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Process and use the scraped data as needed.
Contributions are welcome! If you have any suggestions, feature requests, or find any issues, please open an issue or submit a pull request.
This project is licensed under the MIT License - see the LICENSE file for details.