El tan esperado tutorial sobre la gestión de aplicaciones WEB de terceros utilizando pyOpenRPA. En la segunda parte analizaremos los principios de la influencia robótica en HTML / JS. También haremos con nuestras propias manos un robot pequeño pero muy demostrativo.

Este robot será útil para aquellos para quienes el tema de compra / venta de bienes raíces es relevante.

Tutorial de pyOpenRPA. Gestión de aplicaciones WEB

Para los que están con nosotros por primera vez

pyOpenRPA es una plataforma RPA de código abierto que reemplaza por completo a las principales plataformas RPA comerciales .

Puede leer más sobre por qué es útil aquí .

Navegando por los tutoriales de pyOpenRPA

El tutorial está diseñado como una serie de artículos que resaltarán las tecnologías clave requeridas para RPA.

Una vez que domine estas tecnologías, tendrá la oportunidad de profundizar en los detalles de la tarea que se le asigna.

Lista de artículos tutoriales (publicados y planificados):

[ ]

- — - , - . - , , , , . , , - .

1990- — 2000- .

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

?

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Cómo vemos la aplicación WEB

?

HTML JS CSS. , ? :)

Cómo ve el robot la aplicación WEB

WEB — . + .

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

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, ( ).

: , . .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)

Herramientas portátiles de desarrollo de Google Chrome +

, . .

Lista de cotizaciones por filtro

, CSS Google Chrome. CSS

CSS "Console". , CSS .

Ejemplo para validar un selector CSS

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 . - .