期待已久的有关使用pyOpenRPA管理第三方WEB应用程序的教程。在第二部分中，我们将分析机器人对HTML / JS的影响原理。我们还将用自己的双手制造一个小型但非常有示范性的机器人。

对于那些与房地产买卖相关的人，该机器人将非常有用。

pyOpenRPA教程。 WEB应用管理

对于那些第一次和我们在一起的人

pyOpenRPA是一个开源RPA平台，完全替代了顶级商业RPA平台。

您可以在此处详细了解其用途。

导航pyOpenRPA教程

本教程由一系列文章组成，重点介绍RPA所需的关键技术。

掌握了这些技术之后，您将有机会深入研究摆在您面前的任务的细节。

教程文章列表（已发布和已计划）：

[ ]

- — - , - . - , , , , . , , - .

1990- — 2000- .

, #, ( , ). WEB " ?"/" ?". WEB

?

, / .

我们如何看待WEB应用程序

?

HTML JS CSS. , ? :)

机器人如何看待WEB应用程序

WEB — . + .

WEB : CSS, XPath, id, class, attribute. CSS .

( )

, ( ).

: , . .json :

{
    "SearchKeyStr": "_", #   
    "SearchTitleStr": ",  ", #  
    "SearchURLStr": "https://www.cian.ru/cat.php?deal_type=sale&engine_version=2&in_polygon%5B1%5D=37.6166_55.7678%2C37.6147_55.7688%2C37.6114_55.7694%2C37.6085_55.7698%2C37.6057_55.77%2C37.6018_55.77%2C37.5987_55.77%2C37.5961_55.7688%2C37.5942_55.7677%2C37.5928_55.7663%2C37.5915_55.7647%2C37.5908_55.7631%2C37.5907_55.7616%2C37.5909_55.7595%2C37.5922_55.7577%2C37.5944_55.7563%2C37.5968_55.7555%2C37.6003_55.7547%2C37.603_55.7543%2C37.6055_55.7542%2C37.6087_55.7541%2C37.6113_55.7548%2C37.6135_55.756%2C37.6151_55.7574%2C37.6163_55.7589%2C37.6179_55.7606%2C37.6187_55.7621%2C37.619_55.7637%2C37.6194_55.7651%2C37.6193_55.7667%2C37.6178_55.7679%2C37.6153_55.7683%2C37.6166_55.7678&offer_type=flat&polygon_name%5B1%5D=%D0%9E%D0%B1%D0%BB%D0%B0%D1%81%D1%82%D1%8C+%D0%BF%D0%BE%D0%B8%D1%81%D0%BA%D0%B0&room1=1&room2=1", # URL of the CIAN search [str]
    "SearchDatetimeStr": "2020-08-01 09:33:00.838081", # ,     
    "SearchItems": { #    
        "https://www.cian.ru/sale/flat/219924574/:": { # URL    
            "TitleStr": "3-. ., 31,4 ², 5/8 ", #   
            "PriceFloat": 10000000.0, #  
            "PriceSqmFloat": 133333.0, #   1 . .
            "SqMFloat": 31.4, # - . .
            "FloorCurrentInt": 5, #    
            "FloorTotalInt": 8, #    
            "RoomCountInt": 3 # - 
        }
    }

}

0. ( pyOpenRPA)

RPA , pyOpenRPA , : RPA , pyOpenRPA . RPA ( pyOpenRPA Python).

pyOpenRPA:

1, . GitLab
2, . pyOpenRPA Python 3 (pip install pyOpenRPA)

( 1). - . pyOpenRPA , , — . #Enjoy :)

1.

, , . . , — WEB .

Selenium WebDriver
Google Chrome Mozilla Firefox Internet Explorer
Python 3

1 (. 0), pyOpenRPA (#). pyOpenRPA portable (Google Chrome, Mozilla Firefox, Python3 32|64 ..).

, pyOpenRPA Selenium. WEB. pyOpenRPA.

pyOpenRPA > Wiki > RUS_Tutorial > WebGUI_Habr:
- "3. MonitoringCIAN_Run_64.py" — , WEB
- "3. MonitoringCIAN_Run_64.cmd" — 1- .exe

"3. MonitoringCIAN_Run_64.cmd" :

cd %~dp0..\..\..\Sources
..\Resources\WPy64-3720\python-3.7.2.amd64\python.exe "..\Wiki\RUS_Tutorial\WebGUI_Habr\3. MonitoringCIAN_Run_64.py"
pause >nul

Selenium WebDriver :

##########################
# Init the Chrome web driver
###########################
def WebDriverInit(inWebDriverFullPath, inChromeExeFullPath, inExtensionFullPathList):
    # Set full path to exe of the chrome
    lWebDriverChromeOptionsInstance = webdriver.ChromeOptions()
    lWebDriverChromeOptionsInstance.binary_location = inChromeExeFullPath
    # Add extensions
    for lExtensionItemFullPath in inExtensionFullPathList:
        lWebDriverChromeOptionsInstance.add_extension (lExtensionItemFullPath)
    # Run chrome instance
    lWebDriverInstance = None
    if inWebDriverFullPath:
        # Run with specified web driver path
        lWebDriverInstance = webdriver.Chrome(executable_path = inWebDriverFullPath, options=lWebDriverChromeOptionsInstance)
    else:
        lWebDriverInstance = webdriver.Chrome(options = lWebDriverChromeOptionsInstance)
    # Return the result
    return lWebDriverInstance

2. WEB CSS

WEB Google Chrome, pyOpenRPA ( 1 0).

Google Chrome (pyOpenRPA repo\Resources\GoogleChromePortable\App\Chrome-bin\chrome.exe, Ctrl + Shift + i)

便携式Google Chrome +开发工具

, . .

过滤器报价清单

, CSS Google Chrome. CSS

CSS "Console". , CSS .

验证CSS选择器的示例

CSS .

, , .

div[data-name="BannerServicePlaceInternal"]
div[data-name="getBannerMarkup"]
div[data-name="AdFoxBannerTracker"]

CSS , . CSS .

CSS , : div[data-name="Offers"] > div:not([data-name="BannerServicePlaceInternal"]):not([data-name="getBannerMarkup"]):not([data-name="AdFoxBannerTracker"])

CSS : , , URL .

CSS , : div[data-name="TopTitle"],div[data-name="Title"]
CSS , : div[data-name="Price"] > div[class="header"],div[data-name="TopPrice"] > div[class="header"]
CSS , URL : a[class*="--header--"]

CSS .

CSS , : div[data-name="Pagination"] li[class*="active"] + li a

3. /

CSS . , .

lOfferItemInfo = { # Item URL with https
    "TitleStr": "3-. ., 31,4 ², 5/8 ", # Offer title [str]
    "PriceFloat": 10000000.0, # Price [float]
    "PriceSqmFloat": 133333.0, # CALCULATED Price per square meters [float]
    "SqMFloat": 31.4, # Square meters in flat [float]
    "FloorCurrentInt": 5, # Current floor [int]
    "FloorTotalInt": 8, # Current floor [int]
    "RoomCountInt": 3  # Room couint [int]
}

lOfferListCSSStr = 'div[data-name="Offers"] > div:not([data-name="BannerServicePlaceInternal"]):not([data-name="getBannerMarkup"]):not([data-name="AdFoxBannerTracker"])'
lOfferList = inWebDriver.find_elements_by_css_selector(css_selector=lOfferListCSSStr)

for lOfferItem in lOfferList:

WEB : , , URL .

lTitleStr = lOfferItem.find_element_by_css_selector(css_selector='div[data-name="TopTitle"],div[data-name="Title"]').text # Extract title text
lPriceStr = lOfferItem.find_element_by_css_selector(css_selector='div[data-name="Price"]  > div[class*="header"],div[data-name="TopPrice"] > div[class*="header"]').text # Extract total price
lURLStr = lOfferItem.find_element_by_css_selector(css_selector='a[class*="--header--"]').get_attribute("href") # Extract offer URL
lOfferItemInfo["TitleStr"] = lTitleStr # set the title
lPriceStr = lPriceStr.replace(" ","").replace("₽","") # Remove some extra symbols
lOfferItemInfo["PriceFloat"] = round(float(lPriceStr),2) # Convert price to the float type

lREResult = re.search(r".*, (\d*,?\d*) ², (\d*)/(\d*) .", lTitleStr)  # run the re
lOfferItemInfo["RoomCountInt"] = 1 # Room count
lSqmStr = lREResult.group(1)
lSqmStr= lSqmStr.replace(",",".")
lOfferItemInfo["SqMFloat"] = round(float(lSqmStr),2) # sqm count
lOfferItemInfo["FloorCurrentInt"] = int(lREResult.group(2)) # Floor current
lOfferItemInfo["FloorTotalInt"] = int(lREResult.group(3)) # Floor total
lOfferItemInfo["PriceSqmFloat"] = round(lOfferItemInfo["PriceFloat"] / lOfferItemInfo["SqMFloat"],2) # Sqm per M

lREResult = re.search(r".*(\d)-. .*, (\d*,?\d*) ², (\d*)/(\d*) .", lTitleStr) # run the re
lOfferItemInfo["RoomCountInt"] = int(lREResult.group(1)) # Room count
lSqmStr = lREResult.group(2)
lSqmStr= lSqmStr.replace(",",".")
lOfferItemInfo["SqMFloat"] = round(float(lSqmStr),2) # sqm count
lOfferItemInfo["FloorCurrentInt"] = int(lREResult.group(3)) # Floor current
lOfferItemInfo["FloorTotalInt"] = int(lREResult.group(4)) # Floor total
lOfferItemInfo["PriceSqmFloat"] = round(lOfferItemInfo["PriceFloat"] / lOfferItemInfo["SqMFloat"],2) # Sqm per M

online

, ( ) .

( 2) CSS . .click() .

, .click Selenium ( ). JavaScript Selenium. JavaScript , . :

inWebDriver.execute_script("""document.querySelector('div[data-name="Pagination"] li[class*="active"] + li a').click()""")

, . .

# wait while preloader is active
lDoWaitBool = True
while lDoWaitBool:
    lPreloaderCSS = inWebDriver.find_elements_by_css_selector(css_selector='div[class*="--preloadOverlay--"]') # So hard to catch the element :)
    if len(lPreloaderCSS)>0: time.sleep(0.5) # preloader is here - wait
    else: lDoWaitBool = False # Stop wait if preloader is dissappear

.json .

# Check dir - create if not exists
if not os.path.exists(os.path.join('Datasets',lResult['SearchKeyStr'])):
    os.makedirs(os.path.join('Datasets',lResult['SearchKeyStr']))
# Save result in file
lFile = open(f"{os.path.join('Datasets',lResult['SearchKeyStr'],lDatetimeNowStr.replace(' ','_').replace('-','_').replace(':','_').replace('.','_'))}.json","w",encoding="utf-8")
lFile.write(json.dumps(lResult))
lFile.close()

4.

— , . WEB , . , :

.
(, :) )

( :) ).

, .

# wait while preloader is active. If timeout - retry all job
lTimeFromFLoat = time.time() # get current time in float (seconds)
lDoWaitBool = True
while lDoWaitBool:
lPreloaderCSS = inWebDriver.find_elements_by_css_selector(css_selector='div[class*="--preloadOverlay--"]')
if len(lPreloaderCSS)>0: time.sleep(0.5) # preloader is here - wait
else: lDoWaitBool = False # Stop wait if preloader is dissappear
if (time.time() - lTimeFromFLoat) > 15: # check if timeout is more than 15 seconds
    lRetryJobBool = True # Loading error on page - do break, then retry the job
    if inLogger: inLogger.warning(f"    {15} .,    ")
    break # break the loop
if lRetryJobBool == True: # break the loop if RetryJobBool is true
break

(, :) )

lPageNumberInt = int(inWebDriver.find_element_by_css_selector(css_selector='li[class*="--active--"] span').text) # Get the current page int from web and check with iterator (if not equal - retry all job)
if lPageNumberInt == lPageCounterInt:
...   ...
else:
lRetryJobBool = True
if inLogger: inLogger.warning(
    f"      .   : {lPageNumberInt},  : {lPageCounterInt}")

5.

( GitLab):

# Init Chrome web driver with extensions (if applicable)
# Import section
from selenium import webdriver
import time
import re # Regexp to extract info from string
import json
import datetime
import os
import re
import copy
import logging
# Store structure (.json)
"""
{
    "SearchKeyStr": "_",
    "SearchTitleStr": ",  ", # Title of the search [str]
    "SearchURLStr": "https://www.cian.ru/cat.php?deal_type=sale&engine_version=2&in_polygon%5B1%5D=37.6166_55.7678%2C37.6147_55.7688%2C37.6114_55.7694%2C37.6085_55.7698%2C37.6057_55.77%2C37.6018_55.77%2C37.5987_55.77%2C37.5961_55.7688%2C37.5942_55.7677%2C37.5928_55.7663%2C37.5915_55.7647%2C37.5908_55.7631%2C37.5907_55.7616%2C37.5909_55.7595%2C37.5922_55.7577%2C37.5944_55.7563%2C37.5968_55.7555%2C37.6003_55.7547%2C37.603_55.7543%2C37.6055_55.7542%2C37.6087_55.7541%2C37.6113_55.7548%2C37.6135_55.756%2C37.6151_55.7574%2C37.6163_55.7589%2C37.6179_55.7606%2C37.6187_55.7621%2C37.619_55.7637%2C37.6194_55.7651%2C37.6193_55.7667%2C37.6178_55.7679%2C37.6153_55.7683%2C37.6166_55.7678&offer_type=flat&polygon_name%5B1%5D=%D0%9E%D0%B1%D0%BB%D0%B0%D1%81%D1%82%D1%8C+%D0%BF%D0%BE%D0%B8%D1%81%D0%BA%D0%B0&room1=1&room2=1", # URL of the CIAN search [str]
    "SearchDatetimeStr": "2020-08-01 09:33:00.838081", # Date of data extraction,  [str]
    "SearchItems": {
        "https://www.cian.ru/sale/flat/219924574/:": { # Item URL with https
            "TitleStr": "3-. ., 31,4 ², 5/8 ", # Offer title [str]
            "PriceFloat": 10000000.0, # Price [float]
            "PriceSqmFloat": 133333.0, # CALCULATED Price per square meters [float]
            "SqMFloat": 31.4, # Square meters in flat [float]
            "FloorCurrentInt": 5, # Current floor [int]
            "FloorTotalInt": 8, # Current floor [int]
            "RoomCountInt": 3 # Room couint [int]
        }
    }

}
"""

##########################
# Init the Chrome web driver
###########################
gChromeExeFullPath = r'..\Resources\GoogleChromePortable\App\Chrome-bin\chrome.exe'
gExtensionFullPathList = []
gWebDriverFullPath = r'..\Resources\SeleniumWebDrivers\Chrome\chromedriver_win32 v84.0.4147.30\chromedriver.exe'
def WebDriverInit(inWebDriverFullPath, inChromeExeFullPath, inExtensionFullPathList):
    # Set full path to exe of the chrome
    lWebDriverChromeOptionsInstance = webdriver.ChromeOptions()
    lWebDriverChromeOptionsInstance.binary_location = inChromeExeFullPath
    # Add extensions
    for lExtensionItemFullPath in inExtensionFullPathList:
        lWebDriverChromeOptionsInstance.add_extension (lExtensionItemFullPath)
    # Run chrome instance
    lWebDriverInstance = None
    if inWebDriverFullPath:
        # Run with specified web driver path
        lWebDriverInstance = webdriver.Chrome(executable_path = inWebDriverFullPath, options=lWebDriverChromeOptionsInstance)
    else:
        lWebDriverInstance = webdriver.Chrome(options = lWebDriverChromeOptionsInstance)
    # Return the result
    return lWebDriverInstance

from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC

# def to extract list of offers from one job
def OffersByJobExtractDict(inLogger, inWebDriver, inJob):
    # BUG 0 - if timeout - retry the job +
    # BUG 1 - do mouse scroll to to emulate user activity - cian can hold the robot
    # BUG 2 - check the page to retry job offer if page is not next +
    # BUG 3 - RE fall on -, 85,6 ², 4/8  +
    lRetryJobBool = True # Init flag if some error is raised - retry
    while lRetryJobBool:
        lRetryJobBool = False  # Set false until some another action will appear
        lResult = copy.deepcopy(inJob) # do copy the structure
        lFilterURLStr = lResult["SearchURLStr"]
        inWebDriver.get(lFilterURLStr) # Open the URL
        lDatetimeNowStr = str(datetime.datetime.now())
        lResult.update({
            "SearchDatetimeStr": lDatetimeNowStr, # Date of data extraction,  [str]
            "SearchItems": {} # prepare the result
        })
        # Get List of the page
        lNextPageItemCSS = 'div[data-name="Pagination"] li[class*="active"] + li a'
        lNextPageItem = inWebDriver.find_element_by_css_selector(lNextPageItemCSS)
        lPageCounterInt = 1 # Init the page counter
        while lNextPageItem:
            lPageNumberInt = int(inWebDriver.find_element_by_css_selector(css_selector='li[class*="--active--"] span').text) # Get the current page int from web and check with iterator (if not equal - retry all job)
            if lPageNumberInt == lPageCounterInt:
                lOfferListCSSStr = 'div[data-name="Offers"] > div:not([data-name="BannerServicePlaceInternal"]):not([data-name="getBannerMarkup"]):not([data-name="AdFoxBannerTracker"])'
                lOfferList = inWebDriver.find_elements_by_css_selector(css_selector=lOfferListCSSStr)
                for lOfferItem in lOfferList: # Processing the item, extract info
                    lOfferItemInfo = { # Item URL with https
                        "TitleStr": "3-. ., 31,4 ², 5/8 ", # Offer title [str]
                        "PriceFloat": 10000000.0, # Price [float]
                        "PriceSqmFloat": 133333.0, # CALCULATED Price per square meters [float]
                        "SqMFloat": 31.4, # Square meters in flat [float]
                        "FloorCurrentInt": 5, # Current floor [int]
                        "FloorTotalInt": 8, # Current floor [int]
                        "RoomCountInt": 3  # Room couint [int]
                    }
                    lTitleStr = lOfferItem.find_element_by_css_selector(css_selector='div[data-name="TopTitle"],div[data-name="Title"]').text # Extract title text
                    if inLogger: inLogger.info(f"  : {lTitleStr}")
                    lPriceStr = lOfferItem.find_element_by_css_selector(css_selector='div[data-name="Price"]  > div[class*="header"],div[data-name="TopPrice"] > div[class*="header"]').text # Extract total price
                    lURLStr = lOfferItem.find_element_by_css_selector(css_selector='a[class*="--header--"]').get_attribute("href") # Extract offer URL
                    lOfferItemInfo["TitleStr"] = lTitleStr # set the title
                    lPriceStr = lPriceStr.replace(" ","").replace("₽","") # Remove some extra symbols
                    lOfferItemInfo["PriceFloat"] = round(float(lPriceStr),2) # Convert price to the float type
                    #Check if 
                    if "" in lTitleStr.upper():
                        lREResult = re.search(r".*, (\d*,?\d*) ², (\d*)/(\d*) .", lTitleStr)  # run the re
                        lOfferItemInfo["RoomCountInt"] = 1 # Room count
                        lSqmStr = lREResult.group(1)
                        lSqmStr= lSqmStr.replace(",",".")
                        lOfferItemInfo["SqMFloat"] = round(float(lSqmStr),2) # sqm count
                        lOfferItemInfo["FloorCurrentInt"] = int(lREResult.group(2)) # Floor current
                        lOfferItemInfo["FloorTotalInt"] = int(lREResult.group(3)) # Floor total
                        lOfferItemInfo["PriceSqmFloat"] = round(lOfferItemInfo["PriceFloat"] / lOfferItemInfo["SqMFloat"],2) # Sqm per M
                    else:
                        lREResult = re.search(r".*(\d)-. .*, (\d*,?\d*) ², (\d*)/(\d*) .", lTitleStr) # run the re
                        lOfferItemInfo["RoomCountInt"] = int(lREResult.group(1)) # Room count
                        lSqmStr = lREResult.group(2)
                        lSqmStr= lSqmStr.replace(",",".")
                        lOfferItemInfo["SqMFloat"] = round(float(lSqmStr),2) # sqm count
                        lOfferItemInfo["FloorCurrentInt"] = int(lREResult.group(3)) # Floor current
                        lOfferItemInfo["FloorTotalInt"] = int(lREResult.group(4)) # Floor total
                        lOfferItemInfo["PriceSqmFloat"] = round(lOfferItemInfo["PriceFloat"] / lOfferItemInfo["SqMFloat"],2) # Sqm per M
                    lResult['SearchItems'][lURLStr] = lOfferItemInfo # Set item in result dict
                # Click next page item
                lNextPageItem = None
                lNextPageList = inWebDriver.find_elements_by_css_selector(lNextPageItemCSS)
                if len(lNextPageList)>0:
                    lNextPageItem = lNextPageList[0]
                    try:
                        #lNextPageItem = WebDriverWait(lWebDriver, 10).until(EC.visibility_of_element_located((By.CSS_SELECTOR, 'div[data-name="Pagination"]')))
                        #lNextPageItem.click()
                        inWebDriver.execute_script("""document.querySelector('div[data-name="Pagination"] li[class*="active"] + li a').click()""")
                    except Exception as e:
                        print(e)
                    time.sleep(0.5) # some init operations
                    # wait while preloader is active. If timeout - retry all job
                    lTimeFromFLoat = time.time() # get current time in float (seconds)
                    lDoWaitBool = True
                    while lDoWaitBool:
                        lPreloaderCSS = inWebDriver.find_elements_by_css_selector(css_selector='div[class*="--preloadOverlay--"]')
                        if len(lPreloaderCSS)>0: time.sleep(0.5) # preloader is here - wait
                        else: lDoWaitBool = False # Stop wait if preloader is dissappear
                        if (time.time() - lTimeFromFLoat) > 15: # check if timeout is more than 15 seconds
                            lRetryJobBool = True # Loading error on page - do break, then retry the job
                            if inLogger: inLogger.warning(f"    {15} .,    ")
                            break # break the loop
                    if lRetryJobBool == True: # break the loop if RetryJobBool is true
                        break
                lPageCounterInt = lPageCounterInt + 1 # Increment the page counter
            else:
                lRetryJobBool = True
                if inLogger: inLogger.warning(
                    f"      .   : {lPageNumberInt},  : {lPageCounterInt}")
        if lRetryJobBool == False:  # break the loop if RetryJobBool is true
            # Check dir - create if not exists
            if not os.path.exists(os.path.join('Datasets',lResult['SearchKeyStr'])):
                os.makedirs(os.path.join('Datasets',lResult['SearchKeyStr']))
            # Save result in file
            lFile = open(f"{os.path.join('Datasets',lResult['SearchKeyStr'],lDatetimeNowStr.replace(' ','_').replace('-','_').replace(':','_').replace('.','_'))}.json","w",encoding="utf-8")
            lFile.write(json.dumps(lResult))
            lFile.close()

#  Google Chrome with selenium web driver
lWebDriver = WebDriverInit(inWebDriverFullPath = gWebDriverFullPath, inChromeExeFullPath = gChromeExeFullPath, inExtensionFullPathList = gExtensionFullPathList)
lFilterURLStr = "https://www.cian.ru/cat.php?deal_type=sale&engine_version=2&in_polygon%5B1%5D=37.6166_55.7678%2C37.6147_55.7688%2C37.6114_55.7694%2C37.6085_55.7698%2C37.6057_55.77%2C37.6018_55.77%2C37.5987_55.77%2C37.5961_55.7688%2C37.5942_55.7677%2C37.5928_55.7663%2C37.5915_55.7647%2C37.5908_55.7631%2C37.5907_55.7616%2C37.5909_55.7595%2C37.5922_55.7577%2C37.5944_55.7563%2C37.5968_55.7555%2C37.6003_55.7547%2C37.603_55.7543%2C37.6055_55.7542%2C37.6087_55.7541%2C37.6113_55.7548%2C37.6135_55.756%2C37.6151_55.7574%2C37.6163_55.7589%2C37.6179_55.7606%2C37.6187_55.7621%2C37.619_55.7637%2C37.6194_55.7651%2C37.6193_55.7667%2C37.6178_55.7679%2C37.6153_55.7683%2C37.6166_55.7678&offer_type=flat&polygon_name%5B1%5D=%D0%9E%D0%B1%D0%BB%D0%B0%D1%81%D1%82%D1%8C+%D0%BF%D0%BE%D0%B8%D1%81%D0%BA%D0%B0&room1=1&room2=1"
lJobItem = {
    "SearchKeyStr": "_",
    "SearchTitleStr": ",  ",  # Title of the search [str]
    "SearchURLStr": lFilterURLStr,
    # URL of the CIAN search [str]
}
OffersByJobExtractDict(inLogger = logging, inWebDriver = lWebDriver, inJob = lJobItem)

WEB open source pyOpenRPA. pyOpenRPA .

Desktop WEB . - .