Welcome to the Google News Scraper repository! This project allows you to extract articles from Google News efficiently. With features like headline extraction, keyword targeting, and proxy support, you can gather news articles tailored to your needs.
If you want to dive right in, download the latest version from the Releases section and follow the instructions below.
- Headline Extraction: Capture the main headlines from news articles.
- Keyword Targeting: Focus on specific topics or keywords to filter your results.
- Proxy Support: Rotate proxies to avoid detection and enhance scraping efficiency.
- Data Extraction: Utilize Beautiful Soup and Requests for effective data handling.
- Headless Scraping: Use headless browsers to scrape dynamic content.
To get started with the Google News Scraper, you need to install the required libraries. You can do this using pip:
pip install beautifulsoup4 requests
Make sure you have Python 3.6 or higher installed. You can check your Python version with:
python --version
After installing the required libraries, download the latest release from the Releases section. Extract the files and navigate to the project directory.
Once you have everything set up, you can start using the scraper. Here’s a simple example of how to run the script:
python google_news_scraper.py
This command will initiate the scraping process and output the results to your console.
You can customize your scraping process using command line arguments:
--keywords
: Specify keywords to filter articles.--proxy
: Provide a proxy address for scraping.--output
: Define the output file for saving results.
Example:
python google_news_scraper.py --keywords "technology" --proxy "http://your.proxy:port" --output results.json
You can configure the scraper settings in the config.py
file. This includes:
- Default keywords
- Proxy settings
- Output formats
Make sure to adjust these settings to match your requirements.
Here’s a simple example of how the scraper works:
- Run the Scraper: Execute the scraper with your desired parameters.
- Results: The scraper will fetch articles based on your keywords and output them in the specified format.
[
{
"headline": "Latest Advances in AI Technology",
"link": "https://news.example.com/latest-advances-in-ai",
"date": "2023-10-01"
},
{
"headline": "Tech Giants Collaborate for Sustainable Solutions",
"link": "https://news.example.com/tech-giants-sustainable-solutions",
"date": "2023-10-02"
}
]
We welcome contributions to enhance the Google News Scraper. Here’s how you can help:
- Fork the repository: Create your own copy of the project.
- Create a branch: Use a descriptive name for your branch.
- Make your changes: Implement your features or fixes.
- Submit a pull request: Share your changes with the community.
Please ensure your code adheres to the existing style and includes appropriate tests.
This project is licensed under the MIT License. See the LICENSE file for details.
If you encounter any issues or have questions, please check the Releases section for updates. You can also create an issue in the repository for any bugs or feature requests.
- Beautiful Soup: For parsing HTML and XML documents.
- Requests: For making HTTP requests easily.
- GitHub: For hosting and managing the project.
The Google News Scraper is a powerful tool for anyone looking to gather news articles from Google News. With its easy-to-use interface and robust features, you can quickly access the information you need.
For more information, visit the Releases section to download the latest version and start scraping today!