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scrape_ssga_v02c_git_no_creds.py
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scrape_ssga_v02c_git_no_creds.py
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from email.mime.text import MIMEText
from email.mime.application import MIMEApplication
from email.mime.multipart import MIMEMultipart
#from smtplib import SMTP
import smtplib
#import sys
import os
import pandas as pd
import datetime
def send_mail_gmail(username, password, toaddrs_list,
msg_text, fromaddr=None, subject="Test mail",
attachment_path_list=None):
s = smtplib.SMTP('smtp.gmail.com:587')
s.starttls()
s.login(username, password)
msg = MIMEMultipart()
sender = fromaddr
recipients = toaddrs_list
msg['Subject'] = subject
if fromaddr is not None:
msg['From'] = sender
msg['To'] = ", ".join(recipients)
if attachment_path_list is not None:
os.chdir(attachment_path_list)
files = os.listdir()
for f in files: # add files to the message
try:
file_path = os.path.join(attachment_path_list, f)
attachment = MIMEApplication(open(file_path, "rb").read(), _subtype="txt")
attachment.add_header('Content-Disposition', 'attachment', filename=f)
msg.attach(attachment)
except:
print("could not attach file")
msg.attach(MIMEText(msg_text, 'html'))
s.sendmail(sender, recipients, msg.as_string())
##########################################################
# STEP 1: GET ALL HOLDINGS FROM SSGA FUNDS:
##########################################################
# Full URL example: https://www.ssga.com/us/en/intermediary/etfs/library-content/products/fund-data/etfs/us/holdings-daily-us-en-xlf.xlsx
XLB_URL="https://www.ssga.com/us/en/intermediary/etfs/library-content/products/fund-data/etfs/us/holdings-daily-us-en-xlb.xlsx"
xlb_df = pd.read_excel(XLB_URL, header=None,
sheet_name='holdings',
nrows=17)
XLC_URL="https://www.ssga.com/us/en/intermediary/etfs/library-content/products/fund-data/etfs/us/holdings-daily-us-en-xlc.xlsx"
xlc_df = pd.read_excel(XLC_URL, header=None,
sheet_name='holdings',
nrows=17)
XLE_URL="https://www.ssga.com/us/en/intermediary/etfs/library-content/products/fund-data/etfs/us/holdings-daily-us-en-xle.xlsx"
xle_df = pd.read_excel(XLE_URL, header=None,
sheet_name='holdings',
nrows=17)
XLF_URL="https://www.ssga.com/us/en/intermediary/etfs/library-content/products/fund-data/etfs/us/holdings-daily-us-en-xlf.xlsx"
xlf_df = pd.read_excel(XLF_URL, header=None,
sheet_name='holdings',
nrows=17)
XLI_URL="https://www.ssga.com/us/en/intermediary/etfs/library-content/products/fund-data/etfs/us/holdings-daily-us-en-xli.xlsx"
xli_df = pd.read_excel(XLI_URL, header=None,
sheet_name='holdings',
nrows=17)
XLK_URL="https://www.ssga.com/us/en/intermediary/etfs/library-content/products/fund-data/etfs/us/holdings-daily-us-en-xlk.xlsx"
xlk_df = pd.read_excel(XLK_URL, header=None,
sheet_name='holdings',
nrows=17)
XLP_URL="https://www.ssga.com/us/en/intermediary/etfs/library-content/products/fund-data/etfs/us/holdings-daily-us-en-xlp.xlsx"
xlp_df = pd.read_excel(XLP_URL, header=None,
sheet_name='holdings',
nrows=17)
XLRE_URL="https://www.ssga.com/us/en/intermediary/etfs/library-content/products/fund-data/etfs/us/holdings-daily-us-en-xlre.xlsx"
xlre_df = pd.read_excel(XLRE_URL, header=None,
sheet_name='holdings',
nrows=17)
XLU_URL="https://www.ssga.com/us/en/intermediary/etfs/library-content/products/fund-data/etfs/us/holdings-daily-us-en-xlu.xlsx"
xlu_df = pd.read_excel(XLU_URL, header=None,
sheet_name='holdings',
nrows=17)
XLV_URL="https://www.ssga.com/us/en/intermediary/etfs/library-content/products/fund-data/etfs/us/holdings-daily-us-en-xlv.xlsx"
xlv_df = pd.read_excel(XLV_URL, header=None,
sheet_name='holdings',
nrows=17)
XLY_URL="https://www.ssga.com/us/en/intermediary/etfs/library-content/products/fund-data/etfs/us/holdings-daily-us-en-xly.xlsx"
xly_df = pd.read_excel(XLY_URL, header=None,
sheet_name='holdings',
nrows=17)
##########################################################
# STEP 2: CONCATENATE ALL DATAFRAMES FROM STEP 1 AS SINGLE HTML:
##########################################################
msg_text_01 = \
str('<br>') + \
str('<br>') + \
str('XLB Holdings: ') + str(xlb_df.iloc[2,1]) + \
str('<br>') + str(xlb_df.iloc[0,1]) + \
str('<br>') + \
str('<br>') + \
xlb_df.iloc[4:,[0,1,4,5]].to_html(index=False, header=False) + \
str('<br>') + \
str('<br>') + \
str('XLC Holdings: ') + str(xlc_df.iloc[2,1]) + \
str('<br>') + str(xlc_df.iloc[0,1]) + \
str('<br>') + \
str('<br>') + \
xlc_df.iloc[4:,[0,1,4,5]].to_html(index=False, header=False) + \
str('<br>') + \
str('<br>') + \
str('XLE Holdings: ') + str(xle_df.iloc[2,1]) + \
str('<br>') + str(xle_df.iloc[0,1]) + \
str('<br>') + \
str('<br>') + \
xle_df.iloc[4:,[0,1,4,5]].to_html(index=False, header=False) + \
str('<br>') + \
str('<br>') + \
str('XLF Holdings: ') + str(xlf_df.iloc[2,1]) + \
str('<br>') + str(xlf_df.iloc[0,1]) + \
str('<br>') + \
str('<br>') + \
xlf_df.iloc[4:,[0,1,4,5]].to_html(index=False, header=False) + \
str('<br>') + \
str('<br>') + \
str('XLK Holdings: ') + str(xlk_df.iloc[2,1]) + \
str('<br>') + str(xlk_df.iloc[0,1]) + \
str('<br>') + \
str('<br>') + \
xlk_df.iloc[4:,[0,1,4,5]].to_html(index=False, header=False) + \
str('<br>') + \
str('<br>') + \
str('XLP Holdings: ') + str(xlp_df.iloc[2,1]) + \
str('<br>') + str(xlp_df.iloc[0,1]) + \
str('<br>') + \
str('<br>') + \
xlp_df.iloc[4:,[0,1,4,5]].to_html(index=False, header=False) + \
str('<br>') + \
str('<br>') + \
str('XLRE Holdings: ') + str(xlre_df.iloc[2,1]) + \
str('<br>') + str(xlre_df.iloc[0,1]) + \
str('<br>') + \
str('<br>') + \
xlre_df.iloc[4:,[0,1,4,5]].to_html(index=False, header=False) + \
str('<br>') + \
str('<br>') + \
str('XLU Holdings: ') + str(xlu_df.iloc[2,1]) + \
str('<br>') + str(xlu_df.iloc[0,1]) + \
str('<br>') + \
str('<br>') + \
xlu_df.iloc[4:,[0,1,4,5]].to_html(index=False, header=False) + \
str('<br>') + \
str('<br>') + \
str('XLV Holdings: ') + str(xlv_df.iloc[2,1]) + \
str('<br>') + str(xlv_df.iloc[0,1]) + \
str('<br>') + \
str('<br>') + \
xlv_df.iloc[4:,[0,1,4,5]].to_html(index=False, header=False) + \
str('<br>') + \
str('<br>') + \
str('XLY Holdings: ') + str(xly_df.iloc[2,1]) + \
str('<br>') + str(xly_df.iloc[0,1]) + \
str('<br>') + \
str('<br>') + \
xly_df.iloc[4:,[0,1,4,5]].to_html(index=False, header=False)
##########################################################
# STEP 3: LOAD CREDENTIALS, SEND MESSAGE:
##########################################################
now = datetime.datetime.now()
dtime_string = now.strftime("%Y-%m-%d---%H-%M-%S")
subj_str = str('SSGA SECTOR HOLDINGS: ') + str(dtime_string)
send_mail_gmail(username='fake_gmail_address@gmail.com', password='pw_goes_here', \
toaddrs_list=['recipient_to_spam_01@gmail.com', 'recipient_to_spam_02@gmail.com'], \
msg_text = msg_text_01, fromaddr='PAUL ADOLF VOLCKER', \
subject=subj_str)