Scrap Nepali share market and send email to anyone. The message will be top 5 share difference ( rise ).

scrap_share_market_send_email

import requests
from bs4 import BeautifulSoup

def parse_df(link, columns):
    page = requests.get(link)
    soup = BeautifulSoup(page.content, 'html.parser')
    temp_data = []
    final_data = []
    data2 = soup.find_all(class_='container')
    data_ = data2[4]
    tag_type = type(data_.contents[3].contents[1])
    string_type = type(data_.contents[3].contents[0])
    for d_ in data_.contents[3].contents:
        if isinstance(d_, tag_type):
            if len(d_.contents) > 10:
                for inside_d in d_.contents:
                    if isinstance(inside_d, tag_type):
                        if (isinstance(inside_d.contents[0], string_type)) and (str(inside_d.contents[0]) != "S.N."):
                            temp_data.append(str(inside_d.contents[0]).split(".")[0])
                final_data.append(temp_data)
                temp_data = []
    df = pd.DataFrame(final_data,columns= columns)
    df.dropna(inplace=True)
    return df
    
    
def parse_column_name(link):
    page = requests.get(link)
    soup = BeautifulSoup(page.content, 'html.parser')
    data = soup.find_all(class_='alnright')
    columns = [_.find('a').contents[0] for _ in data if _.find('a')]
    columns.insert(0,'Traded Companies')
    columns.insert(0, 'S.N.')
    return columns
    
def scrap_data():
    link = "http://nepalstock.com/main/todays_price/index/1/"
    column = parse_column_name(link)
    df = pd.DataFrame(columns= column)
    for num_ in range(1, 10):
        link = "http://nepalstock.com/main/todays_price/index/"+ str(num_) +"/"
        df_ = parse_df(link,column)
        df = pd.concat([df,df_],ignore_index=True)
    return df
    
import time 
start = time.time()
df = scrap_data()
end = time.time()
print(end- start)

#for sorting we have to change the dtyoe of pandas object to numeric value.
df["Difference Rs."] = pd.to_numeric(df["Difference Rs."])

#create a message for email
message = df.sort_values(['Difference Rs.'], ascending=False).head(5).to_json()
    
#send email to anyone.

import smtplib, ssl

port = 465  # For SSL
smtp_server = "smtp.gmail.com"
sender_email = ""  # Enter your address
receiver_email = ""  # Enter receiver address
cc_email = "" #Enter cc address
bcc_email = "" #Enter bcc address
password = "" # password of sender email
message_subject = "" # Enter subject
message_text = message # right now json of top 5 share changes positively. 


def send_last_email():
    message = "From: %s\r\n" % sender_email + "To: %s\r\n" % receiver_email + \
              "CC: %s\r\n" % cc_email + "BCC: %s\r\n" % bcc_email \
              + "Subject: " "%s\r\n" % message_subject + "\r\n" + message_text

    receiver_emails = [receiver_email] + [cc_email] + [bcc_email]

    context = ssl.create_default_context()
    server = smtplib.SMTP_SSL(smtp_server, port, context=context)
    server.login(sender_email, password)
    server.set_debuglevel(1)
    server.sendmail(sender_email, receiver_emails, message)

    server.quit()

send_last_email()