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Project: News Headline Scraper Description: This project demonstrates a simple yet effective approach to web scraping using Python. The script fetches the HTML content of a news website, extracts key headlines from

and title-related tags using BeautifulSoup, and saves all collected titles into a clean, readable .txt file. It is beginner-friendly and showcases the fundamentals of web requests, HTML parsing, and file handling in Python.

Features: • Fetches HTML content using the requests library • Parses headlines from

and page title tags using BeautifulSoup • Stores all extracted headlines in a text file for later use or analysis • Simple, lightweight, and easy to extend for other websites

Technologies Used: • Python • requests • BeautifulSoup (bs4)

Use Case: This project is ideal for beginners learning web scraping or anyone wanting to quickly extract article titles from news websites for study, analysis, or automation tasks.

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Project: News Headline Scraper Description: This project demonstrates a simple yet effective approach to web scraping using Python. The script fetches the HTML content of a news website, extracts key headlines from the news

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