Scenario 3: Web Scraping for Real-Time Data Extraction

Problem Statement: Extract data from a website for analysis.

Detailed Scenario: The application needs to scrape data from a webpage regularly to monitor specific metrics (e.g., stock prices, weather data, Team de).

Use Case Approach: Use Python’s requests module to fetch the webpage and BeautifulSoup to extract the relevant data.

Tools and Modules: requests, beautifulsoup4

══════════════ ⭑ ⭑ ⭑ ⭑ ⭑ ══════════════

Approach:

• Open a URL, go to the Developer Tools, right-click on the web content you want to parse, and click on Inspect. This will take you to the element in Developer mode.
• Use BeautifulSoup.select to select the element you want to analyze.
• Print the required data.

Python Modules Used:

• requests – Module used to fetch the URL contents
• bs4.BeautifulSoup – BeautifulSoup class provided by the bs4 module to parse HTML data

══════════════ ⭑ ⭑ ⭑ ⭑ ⭑ ══════════════

Reference:
Install modules:

pip install requests bs4

BeautifulSoup Documentation