Task 1: Python Script for Web Scraping and Automation Choose the Right Website: Select a website with publicly accessible data. Options include news websites, e-commerce platforms, or any site of interest. Use Web Scraping Libraries: Write your script using libraries like Beautiful Soup and Requests for effective web scraping . Data Processing: Clean and organize the scraped data. Pandas might come in handy for data processing tasks . Automation: Schedule your script using tools like Cron (Unix) or Task Scheduler (Windows) for regular updates.
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This Python script for web scraping and automation involves selecting a publicly accessible website, using web scraping libraries like Beautiful Soup and Requests, cleaning and organizing scraped data with Pandas, and scheduling the script using tools like Cron or Task Scheduler for regular updates.
Yashvi-weber/Python-Script-for-Web-Scraping-and-Automation
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This Python script for web scraping and automation involves selecting a publicly accessible website, using web scraping libraries like Beautiful Soup and Requests, cleaning and organizing scraped data with Pandas, and scheduling the script using tools like Cron or Task Scheduler for regular updates.
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