[PYTHON] Automation of creation of working hours table created at the end of the month with Selenium

This is a memo that automates one troublesome simple task.

Because it was necessary to acquire data from the site that requires login this time I used selenium for the first time, but it's convenient.

Overview of automation

Business content to be automated

At PJ, which is participating as a secondary receiver Submit Excel that summarizes the working hours to the primary receiving company at the end of the month.

Business procedure before automation

  1. Record daily business hours on your website
  2. At the end of the month, visually refer to the date and time of attendance and departure from the company's website.
  3. Post to Excel with temporary reception
  4. Submit to the person in charge

The posting of the above 2 and 3 attendance and departure times has been automated.

Business / processing procedure after automation

  1. Record daily business hours on your website
  2. Create a new Excel with copy and paste and execute python WorkingTimeGet.py
(1) [Original data acquisition]
① Access your site with Selenium and enter your ID and PASS
② Click the login button to log in
③ Transition to the working hours inquiry page
④ Get HTML (close the web page)
(2) [Data processing, Excel creation]
① Get each item from Table tag and insert it into DataFrame
② Open Excel and set the time of attendance and departure
③ Save Excel and exit
1. Submit to the person in charge

Technology used

Python (3.8.5) selenium (3.141.0) beautifulsoup4 (4.9.3) pandas (1.1.3) openpyexl (3.0.5)

Source code

Source code


import sys
import os
import re #Regular expressions
import time
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
import chromedriver_binary #Code to pass the path
from bs4 import BeautifulSoup
import pandas as pd
import openpyxl as excel

loginpage = {Login page URL}
targetpage = {After logging in, the URL of the working hours inquiry page}
idtxt = {ID}
passtxt = {PASS}
print('Start processing')

print('Please enter the file name.')
file = input()

#File existence check
if not os.path.isfile(file):
    print('The file does not exist.')

# ================================================================================
#Get data from the target web page
# ================================================================================
#Open chrome
option = Options()
driver = webdriver.Chrome(options=option)

#Set maximum wait time for element to be found

# ID/Enter PASS on the screen
id = driver.find_element_by_id({ID of the element in the ID input field})

password = driver.find_element_by_id({ID of the element in the PASS input field})

#Click the login button
login_button = driver.find_element_by_name({Login button element id})

print('Data acquisition ...')


#Open the working hours inquiry screen

#Get html
html = driver.page_source
driver.quit() #Close browser

print('Data acquisition completed')

# ================================================================================
#Data processing
# ================================================================================
print('Data processing ...')
#Parse HTML
soup = BeautifulSoup(html, 'lxml')

#Create a DataFrame
columns = ["date", "Classification", "Attendance", "Leave work", "break", "total", "overtime", "Deduction", "project", "task", "Work type", "time"]
df = pd.DataFrame(columns = columns)

#Get table
table = soup.findAll("table", {"name":{Selector name}})[0]
trs = table.findAll("tr")

#Add row to DataFrame
for tr in trs:
    tds = tr.findAll("td")
    rowname = tds[0].get_text().strip()
    df2 = pd.DataFrame(data = [[
    ]], columns = columns)
    df = df.append(df2, ignore_index = True)

print('Data processing completed')

# ================================================================================
#Write to excel
# ================================================================================
print('Start writing to Excel ……')
#Open excel
wb = excel.load_workbook(file, keep_vba=True)
ws = wb[{Sheet name}]

row = 1

for workfrom, workto in zip(df['Attendance'], df['Leave work']):
    #Set attendance time
    ws.cell(row=row, column=2).value = workfrom
    ws.cell(row=row, column=3).value = workto

    #Omitted ... (Other processing)

    row += 1

print('Excel writing completed')

print('Processing Exit')


Recommended Posts

Automation of creation of working hours table created at the end of the month with Selenium
Try to react only the carbon at the end of the chain with SMARTS
Python Basic Course (at the end of 15)
python> print> Redirected only at the end of processing?> Run with -u
[Automation] Extract the table in PDF with Python
Send Gmail at the end of the process [Python]
Remove specific strings at the end of python
Extract the table of image files with OneDrive & Python
Coordinates of the right end of Label made with tkinter
How to insert a specific process at the start and end of spider with scrapy
A network diagram was created with the data of COVID-19.
Get UNIXTIME at the beginning of today with a command
Decorator that displays "FIN method name" at the end of the method
The true value of Terraform automation starting with Oracle Cloud
[Fully automatic connection] Solved the problem of 90 minutes and 12 hours with only Colaboratory files [Using Selenium]