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Webscrapping of matlabcoding.com website using python with complete code

Webscrapping of matlabcoding.com website t get the latest post published by the website.  In this code bs4 is used. 

Using BeautifulSoup and Telegram, All the new post are updated in our telegram channel. 

for any doubt please do comment. 

Complete python code: 

import requests from bs4 import BeautifulSoup page = requests.get("https://www.matlabcoding.com") soup = BeautifulSoup(page.content, 'html.parser') x = soup.find('div',id="content-wrapper") y = x.find('div',class_="post-outer") z = y.find('a',href=True) msg = z['href'] import telegram chat_id =-1001454266592 token_id = '1428056219:AAHN7iwCdMC9tNKjH-3HK2Y0Hx8uloMqSAk' def send(msg,chat_id=chat_id,token=token_id): bot = telegram.Bot(token=token_id) bot.sendMessage(chat_id=chat_id,text=msg) send(f"New Matlab udate on matlabcoding.com : {msg}")

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Python project on webscraping

Python project on web scraping. Get latest release update from gaana.com to your mobile.

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Python Code for CORONA Updates on Telegram

#Python Code for CORONA Updates on Telegram

from bs4 import BeautifulSoup 

import requests  

import pandas as pd 

x=[] 

x1=[] 

source=requests.get('https://www.worldometers.info/coronavirus/country/india/').text 

soup=BeautifulSoup(source,'lxml') 

z=soup.find_all('div',id='maincounter-wrap') 

z1=soup.find_all('div',class_='maincounter-number') 

 

for k in z: 

    y=k.h1.text 

    x.append(y) 

 

for i in z1: 

    y1=i.span.text 

    x1.append(y1) 

     

df=pd.DataFrame(x1,x,['Number']) 

df.head() 

import telegram

chat_id = 957639882

token_id = '1339570026:AAE39zN86JK6mxgAGpkJo876Mq75IQW5WZU'

def send(msg,chat_id=chat_id,token=token_id):

    bot = telegram.Bot(token=token_id)

    bot.sendMessage(chat_id=chat_id,text=msg)

    

send(f" Todays's Corona Update:\n{df}")

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