README.md

Web Scraping Project - CodeAlpha Internship

📌 Objective

This project focuses on extracting data from multiple websites using Python and performing basic data analysis.

🌐 Websites Used

1. http://quotes.toscrape.com
2. https://realpython.github.io/fake-jobs/

🛠️ Technologies Used

• Python
• BeautifulSoup
• Requests
• Pandas

🔍 Features

• Scraped quotes (text and author) from Quotes website
• Scraped job data (title, company, location) from Fake Jobs website
• Stored data in structured format using pandas
• Exported datasets to Excel files
• Performed filtering and basic analysis

📊 Analysis Performed

• Filtered jobs based on location
• Filtered jobs based on domain (Python, Teaching)
• Found most common job locations
• Basic exploration of quotes dataset

📁 Output Files

• fake_jobs.xlsx → job dataset
• quotes.xlsx → quotes dataset

🚀 How to Run

1. Install required libraries:

   pip install requests beautifulsoup4 pandas
   

2. Run the script:

   python scraper1.py
   python scraper2.py
   

📌 Author

Waheed Mujtaba