Project NASS – News Archives Scraper & Searcher

Web Scraper & Search Engine for Archived News Articles | Built with Python & BeautifulSoup

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📌 Overview

Project NASS is a self-initiated endeavor that showcases my proficiency in Python and web scraping.

It is a command line application with no UI.

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🔍 Features

• Scrapes all articles from The Hindu's 2010 archivs.
• Stores the scraped data in a structured text file (`newsarticles.txt)
• Implements a search engine to query articles by names of notable individuas.
• Utilizes BeautifulSoup for efficient HTML parsig.

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🛠️ Technologies Used

• Python3.x
• BeautifulSoup
• requests` libary

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🚀 Getting Started

Pre-requisite

• Python 3.x installed on your macine.

Installation

1. Clone the reposiory:

   git clone https://github.com/mishalalex/ProjectWebScrapper.git

2. Navigate to the project direcory:

   cd ProjectWebScrapper

3. Install the required dependenies:

   pip install -r requirements.txt

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📂 Project Structue

• ArticleScrapper.py – Script to scrape articles from The Hindu's 2010 arcive.
• SearchEngine.py – Script to search for names within the scraped artcle.
• newsarticles.txt – Output file containing all scraped artcle.
• requirements.txt – List of Python dependecies.

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🧠 Inspiration & Learning

This project was conceived and developed independently, reflecting my dedication to learning and applying Python for real-world applications. It serves as a testament to my ability to self-learn and implement complex functionalities without external gudance.

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📬 Contact

For any queries or suggestions, feel free to rech ou:

• Email: [[email protected]]

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