Web Scraping Project: Content Extraction

Library and Framework

• pandas: Used for data storage and manipulation.
• BeautifulSoup: Used for interpreting the HTML document.
• requests: Used to communicate with the web page.
• sqlite3: Creating the database instance.

Overview

This project focuses on web scraping using the requests and BeautifulSoup libraries to extract the contents of a web page. The primary objective is to analyze the HTML code of a webpage, identify relevant information, and extract it for further use.

Features

1. Web Page Content Extraction

• Utilize the requests library to fetch the HTML content of a specified web page.

2. HTML Analysis

• Use BeautifulSoup to parse and analyze the HTML code of the fetched web page.

3. Information Extraction

• Identify and extract relevant information from the HTML code based on specified criteria.

4. Data Formatting

• Save the extracted information in the required format - CSV.