Aim: Build a tool capable of scraping public HTML content from a large variety of technology news publication websites.

Description: Develop a Python-based tool designed to scrape and extract public HTML content from a wide variety of technology news publication websites. The solution should handle diverse website structures and ensure data is collected in a structured, reliable, and scalable manner.

Objectives:

• Identify and define target website structures for scraping.
• Build a robust scraper capable of handling different HTML layouts and tags.
• Implement error-handling mechanisms for changes in website structures.
• Store extracted content in a structured format (e.g., JSON, CSV, or database).

Deliverables:

• Python-based HTML scraper script with modular design.
• Documentation on how to use and maintain the scraper.
• Sample dataset scraped from selected websites.

Outcome: A functional, user-friendly scraping tool that enables efficient data collection from technology news websites, supporting further data analysis or research.