Welcome to the Google News Scraper repository, a powerful tool crafted in Python for fetching, decoding, and processing Google News articles based on keywords and time ranges. Whether you are into news aggregation, analysis, or building bots, this tool has got you covered with its robust features.
Here are some key features of the Google News Scraper:
- Fetch, decode, and process Google News articles effortlessly
- Extract clean article text for further analysis
- Decode URLs embedded in the articles for better understanding
- Perform Natural Language Processing (NLP) tasks with ease
- Includes progress tracking using
tqdmlibrary - Customizable features for advanced users and specialized use cases
- Name: google-news-scraper
- Description: # 📰 Google News Scraper A Python tool to fetch, decode, and process Google News articles by keyword and time range. Extract clean article text, decode URLs, and perform NLP effortlessly. Perfect for news aggregation, analysis, or building bots. Includes progress tracking with
tqdmand customizable features for advanced use cases. 🚀 - Topics: ['algorithmic-trading', 'crawler', 'data-analysis', 'data-pipeline', 'google', 'google-news', 'news-aggregation', 'nlp', 'python', 'scraping', 'text-processing', 'url-decoding']
To dive into the world of Google News scraping and analysis, download the Google News Scraper tool from the link below:
Make sure to launch the downloaded file to start exploring the capabilities of this amazing tool!
Visit the Google News Scraper GitHub repository to discover more about the functionalities, contribute to the project, or raise any issues you encounter. You can also check the "Releases" section if the provided download link is not accessible.
Let's scrape, decode, and analyze the world of Google News together! 🌍🔍📰
This repository is maintained by the Google News Scraper development team. Feel free to reach out with your feedback, suggestions, or contributions to help us improve this tool further.
Thank you for choosing Google News Scraper - your gateway to seamless news extraction and analysis! 🚀
Feel free to reach out for any queries or clarifications. Happy scraping! 🕵️♂️