GitHub - shikhararyan/WEB_Scrapping-basic-technique: This assignment involves web scraping data from a Singapore government website using Python libraries like BeautifulSoup and requests. The scraped data includes names, citizenships, and dates of birth of individuals mentioned in a table on the website. After scraping the data, it is processed and saved into a CSV file for further analysis or usage.

Code Overview

The code begins with importing necessary libraries such as pandas, numpy, BeautifulSoup, requests, and csv.
It then sends a GET request to the specified URL and retrieves the HTML content of the webpage.
BeautifulSoup is used to parse the HTML content and extract specific information from the webpage, in this case, a table containing individuals' details.
The relevant data is extracted and stored in a list.
The extracted data is then processed to separate the name, citizenship, and date of birth information.
Finally, the processed data is saved into a CSV file for further use.

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