Merge pull request prathimacode-hub#167 from Aditya8821/main

Real-Time Bitcoin Rate

Author: prathimacode-hub

WebScrapingScripts/Real-Time Bitcoin Rate/Images/Demo Output.png

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+## Description: 
+[**Here**](https://github.com/Aditya8821/Awesome_Python_Scripts/blob/main/WebScrapingScripts/Real-Time%20Bitcoin%20Rate/Bitcoin%20Rate.py) is Python Script which checks the Real-Time Bitcoin rates in INR.
+
+- **BeautifulSoup:**
+BeautifulSoup is a python library for pulling data out of HTML and XML files
+ 
+- **requests:**
+requests module allows you to send HTTP requests and returns a response object with all the response
+
+## **Real-Time Use & Purpose:**
+In this project you’ll learn about HTTP requests and how to send them using the requests package and will also learn how to extract required data from HTML pages using some simple functions of beautifulsoup module.
+As we all know very well that bitcoin price is a fickle thing. You never really know where it’s going to be at the end of the day. So, instead of constantly checking various sites for the latest updates, let’s make a Python script to do the work for you.
+
+## Procedure to follow: 
+- from bs4 import BeautifulSoup
+- import requests
+- pass page text as argument in BeautifulSoup and parse it.
+- pass required class name as argument in soup.find() function.
+- print the output in terms of INR
+## Sample Output:
+<p align="center"><img src="https://github.com/Aditya8821/Awesome_Python_Scripts/blob/main/WebScrapingScripts/Real-Time%20Bitcoin%20Rate/Images/Demo%20Output.png"></p>
+
+For any queries please contact?
+- [**LinkedIn**](https://www.linkedin.com/in/aditya-trivedi-032090164/)

WebScrapingScripts/Real-Time Bitcoin Rate/README.md

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+# BeautifulSoup is a python library for pulling data out of HTML and XML files
+from bs4 import BeautifulSoup as BS
+# requests module allows you to send HTTP requests and returns a Response Object with all the response​.
+import requests
+def get_price(url):
+    data=requests.get(url) # Accessing all required data from url site and store in data.
+    soup=BS(data.text,"html.parser") # It takes text of page as argument and then parse it with html.parser
+    ans=soup.find("div",class_="BNeawe iBp4i AP7Wnd").text # here the class name is passed as argument to find out that particular info in html text
+    return ans
+url="https://www.google.com/search?q=bitcoin+price"
+ans=get_price(url)
+print("1 Bitcoin = ",ans)

WebScrapingScripts/Real-Time Bitcoin Rate/bitcoin_rate.py

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+Python= https://www.python.org/
+BeautifulSoup= https://pypi.org/project/beautifulsoup4/
+requests= https://pypi.org/project/requests/