Friday, 13 November 2020

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}")







Telegram: https://t.me/clcoding_python

Thursday, 5 November 2020

Sunday, 1 November 2020

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}")


Telegram: https://t.me/clcoding_python

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