Develop Reference

Get information from webpage with the same class names (Python Selenium)

I have a simple question that assumingly can be solved very easily.
I however used some time now to extract the four lines of information as shown here:
see html structure here
I first try to access the <ul _ngcontent-xl-byg-c79="" class="short ng-star-inserted" item to then loop over the <li _ngcontent-xl-byg-c79="" class="table-row ng-star-inserted"> items in order to store the embedded information in my dataframe (columns are 'Mærke', 'Produkttype', 'Serie', and 'Model').
What do I do wrong? My problem is that the four lines have the same "class" name, which gives me the same output in all four loops.
This is my code:
from selenium import webdriver
import pandas as pd
# Activate web browser: External control
browser = webdriver.Chrome(r'C:\Users\KristerJens\Downloads\chromedriver_win32\chromedriver')
# Get webpage
browser.get("https://www.xl-byg.dk/shop/knauf-insulation-ecobatt-murfilt-190-mm-2255993")
# Get information
brand= []
product= []
series=[]
model=[]
for i in browser.find_elements_by_xpath("//ul[#class='short ng-star-inserted']/li"):
for p in i.find_elements_by_xpath("//span[#class='attribute-name']"):
brand.append(i.find_elements_by_class_name('?').text)
product.append(i.find_elements_by_class_name('?').text)
series.append(i.find_elements_by_class_name('?').text)
model.append(i.find_elements_by_class_name('?').text)
df = pd.DataFrame()
df['brand'] = brand
df['product'] = product
df['series'] = series
df['model'] = model
Any help is very appreciated!!

Try like below and confirm:
from selenium import webdriver
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
driver = webdriver.Chrome(executable_path="path to chromedriver.exe")
driver.maximize_window()
driver.implicitly_wait(10)
driver.get("https://www.xl-byg.dk/shop/knauf-insulation-ecobatt-murfilt-190-mm-2255993")
wait = WebDriverWait(driver,30)
# Cookie pop-up
wait.until(EC.element_to_be_clickable((By.XPATH,"//button[#aria-label='Accept all' or #aria-label = 'Accepter alle']"))).click()
options = driver.find_elements_by_xpath("//div[#class='row-column']//ul[contains(#class,'short')]/li")
for opt in options:
attribute = opt.find_element_by_xpath("./span[#class='attribute-name']").text # Use a "." in the xpath to find element within in an element
value = opt.find_element_by_xpath("./*[contains(#class,'ng-star-inserted')]").text
print(f"{attribute} : {value}")
Mærke : Knauf Insulation
Produkttype : Murfilt
Serie : ECOBATT
Materiale : Glasmineraluld

How to find the nth child heading and print the text using beautifulsoup in python

According to my code, I am able to get the First heading of Project and I want the subheading to be printed (FSI Details). Not able to get the second heading using beautifulsoup.I tried the reference for the nth-child
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.keys import Keys
import urllib.request
from bs4 import BeautifulSoup
from selenium import webdriver
from selenium.webdriver.support.select import Select
from selenium.webdriver.common.keys import Keys
import time
import pandas as pd
import os
url = 'https://maharerait.mahaonline.gov.in'
chrome_path = r'C:/Users/User/AppData/Local/Programs/Python/Python36/Scripts/chromedriver.exe'
driver = webdriver.Chrome(executable_path=chrome_path)
driver.get(url)
WebDriverWait(driver,
20).until(EC.element_to_be_clickable((By.XPATH,"//div[#class='search-
pro-details']//a[contains(.,'Search Project Details')]"))).click()
Registered_Project_radio= WebDriverWait(driver,
10).until(EC.element_to_be_clickable((By.ID,"Promoter")))
driver.execute_script("arguments[0].click();",Registered_Project_radio)
Application = driver.find_element_by_id("CertiNo")
Application.send_keys("P50500000005")
Search = WebDriverWait(driver,
10).until(EC.element_to_be_clickable((By.ID,"btnSearch")))
driver.execute_script("arguments[0].click();",Search)
View = [item.get_attribute('href') for item in
driver.find_elements_by_tag_name("a") if
item.get_attribute('href') is not None]
View = View[0]
driver.get(View)
request = urllib.request.Request(View)
html = urllib.request.urlopen(request).read()
soup = BeautifulSoup(html, 'html.parser')
divPInfo2 = soup.find("div", {"id": "DivProject"})
Project_title = divPInfo2.find("div", {'class': 'x_panel'},
recursive=False).find("div", {'class': 'x_title'}).find(
"h2").text.strip()
print(Project_title)
Project_title1 = divPInfo2.find("div", {'class': 'x_panel'},
recursive=False).find("div", {'class': 'x_title'}).find_all(
"h2")[1].text.strip()
print(Project_title1 ) # (FSI Detail) heading should be printed here

You can try CSS selector :contains("FSI Details"), which selects element containing string "FSI Details". This code prints labels and values of the "FSI Details" section:
import requests
from bs4 import BeautifulSoup
url = 'https://maharerait.mahaonline.gov.in/PrintPreview/PrintPreview?q=BPUvrrjIzYs%2f2hwYj1YIOfflh9NisZW6zTns2KLjHBZn6cbQ008s91nzlFrDxVvLwR1vAeLID0%2bo%2bD0H0Z6o2t%2b5P%2b%2fbBOcHCbMQHU8gkwdNZJnbbfu6N7mWSpgKXt4AiQyzuEpoDE7FX6HZypqsGXz4ObYD4KpyRzCsFJaWTgA%3d'
soup = BeautifulSoup(requests.get(url).text, 'lxml')
fsi_content = soup.select_one('.x_title:contains("FSI Details") + .x_content')
print('{: <160}{: <8}'.format('Label', 'Value'))
print('-' * 168)
for label, text in zip(fsi_content.select('label'), fsi_content.select('div:has(> label) + div')):
print('{: <160}{: <8}'.format(label.get_text(strip=True), text.get_text(strip=True)))
Prints:
Label Value
------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Built-up-Area as per Proposed FSI (In sqmts) ( Proposed but not sanctioned) ( As soon as approved, should be immediately updated in Approved FSI) 0
Built-up-Area as per Approved FSI (In sqmts) 11566.50
TotalFSI 11566.50
Further reading:
CSS Selectors Refernece

Cannot extract the html table

I want to harvest information using beautiful soup and python3 from a table within a given website .
I have also tried to use XPath method but still cannot get a way to obtain the data.
coaches = 'https://www.badmintonengland.co.uk/coach/find-a-coach'
coachespage = urlopen(coaches)
soup = BeautifulSoup(coachespage,features="html.parser")
data = soup.find_all("tbody", { "id" : "JGrid-az-com-1031-tbody" })
def crawler(table):
for mytable in table:
try:
rows = mytable.find_all('tr')
for tr in rows:
cols = tr.find_all('td')
for td in cols:
return(td.text)
except:
raise ValueError("no data")
print(crawler(data))

If you use selenium to make the selections and then pd.read_html the page_source to get the table, this allows javascript to run and populate values
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
import pandas as pd
import time
url = 'https://www.badmintonengland.co.uk/coach/find-a-coach'
driver = webdriver.Chrome()
driver.get(url)
ele = driver.find_element_by_css_selector('.az-triggers-panel a') #distance dropdown
driver.execute_script("arguments[0].scrollIntoView();", ele)
ele.click()
option = WebDriverWait(driver,10).until(EC.presence_of_element_located((By.ID, "comboOption-az-com-1015-8"))) # any distance
option.click()
driver.find_element_by_css_selector('.az-btn-text').click()
time.sleep(5) #seek better wait condition for page update
tables = pd.read_html(driver.page_source)

How do I get the stock symbol by Selenium?

I am trying to grab the stock symbol from this page.
This is my code:
from selenium import webdriver
import pandas as pd
url = 'https://stock360.hkej.com/StockScreener/profession/tab/profile'
browser = webdriver.Chrome('C:/chromedriver_win32/chromedriver.exe')
browser.get(url)
dfs = pd.read_html(browser.page_source)
print(dfs)
browser.close()
This is the output:
dfs
[ 0
0 加入至心水組合：請先登入或註冊成為會員, Empty DataFrame
Columns: [沒有符合以上篩選條件的股票。]
Index: [], 0
0 加入至心水組合：請先登入或註冊成為會員]
I know it's javascript and I used Selenium already. How come I can't get the table? And how do I get the stock symbol in the page as shown below? Thanks.
Additonal info: After clicking the link, choose the 2nd one from the GREEN drop-down list, then the above table will be shown.

One way is as follows
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
import pandas as pd
url = 'https://stock360.hkej.com/StockScreener/profession/tab/profile'
driver = webdriver.Chrome()
driver.get(url)
WebDriverWait(driver,10).until(EC.presence_of_all_elements_located((By.CSS_SELECTOR, 'option')))
# select the second dropdown option by its value attribute whose value is mb
driver.find_element_by_css_selector('[value=mb]').click()
#wait for blue button to be clickable and click
WebDriverWait(driver, 5).until(EC.element_to_be_clickable((By.CSS_SELECTOR, '[href*=submit]'))).click()
#select table
table = driver.find_element_by_css_selector('.dt960')
#transfer html of table to pandas read_html which handles tables
df = pd.read_html(table.get_attribute('outerHTML'))[0] #grab the table
df2 = df.drop(df.columns[0], axis=1).dropna(how='all') #lose the nan column and rows
df2.rename(columns=df.iloc[0], inplace = True) #set headers same as row 1
df2.drop(df.index[0], inplace = True) #lose row 1
df2.reset_index(drop=True) #re-index
print(df2)
driver.quit()

How to retrieve table from dynamic website python selenium

I want to retrieve all the information from a table on a dynamic website and I have the following code for it:
from selenium import webdriver
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
from selenium.common.exceptions import TimeoutException
import sys
reload(sys)
import re
import csv
from time import sleep
sys.setdefaultencoding('utf-8') #added since it would give error for certain values when using str(i)
chrome_options = webdriver.ChromeOptions()
chrome_options.add_argument('--headless')
prefs = {'profile.managed_default_content_settings.images':2}
chrome_options.add_experimental_option("prefs", prefs)
driver = webdriver.Chrome(chrome_options=chrome_options)
maxcr = 1379
listofrows = []
url = "http://biggestbook.com/ui/catalog.html#/itemDetail?itemId=HERY4832YER01&uom=CT"
print(url)
driver.get(url)
wait = WebDriverWait(driver,10)
# Trying to get the table
tableloadwait = (wait.until(EC.presence_of_all_elements_located((By.CSS_SELECTOR, ".panel-body"))))
table = driver.find_elements_by_css_selector(".panel-body")
print(table)
RowsOfTable = table.get_attribute("tr")
However, I keep getting error but it doesn't work so far. How do I retrieve the information of the table?
Thanks a lot!
error:
RowsOfTable = table.get_attribute("tr")
AttributeError: 'list' object has no attribute 'get_attribute'

Here is the code to get the product details
tableloadwait = (wait.until(EC.presence_of_all_elements_located((By.CSS_SELECTOR, ".panel-body"))))
driver.find_element_by_xpath("//span[contains(.,'Product Details')]").click()
rows = driver.find_elements_by_xpath("//span[contains(.,'Product Details')]/ancestor::div[#class='accordion-top-border']//tr[(#ng-repeat='attr in attributes' or #ng-repeat='field in fields') and #class='visible-xs']")
for rowNum in range(len(rows)):
print(rows[rowNum].get_attribute('innerText'))
driver.quit()
We have to trim the values or break the values as per your requirement.
if you would like to get the data based on row text use the below.
upcData = driver.find_element_by_xpath("//strong[.='UPC']/parent::td").get_attribute('innerText').replace('UPC','').replace('\n','').replace(' ','')

Expand the accordion with the appropriate + button first then select the table. Add waits for items to be present. Change the expandSigns index to 2 if you want the other table.
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
import pandas as pd
url = 'http://biggestbook.com/ui/catalog.html#/itemDetail?itemId=HERY4832YER01&uom=CT'
driver = webdriver.Chrome()
driver.get(url)
expandSigns = WebDriverWait(driver,10).until(EC.presence_of_all_elements_located((By.CSS_SELECTOR, ".glyphicon-plus")))
expandSigns[1].click()
WebDriverWait(driver,10).until(EC.presence_of_element_located((By.CSS_SELECTOR, "td")))
table = driver.find_element_by_css_selector('table')
html = table.get_attribute('outerHTML')
df = pd.read_html(html)
print(df)
driver.quit()

If you need to scrape, not test, you can use requests to get data. Below code is example how you can get data from the page.
import requests
import re
# Return header page(html) to get token and list key
response = requests.get("http://biggestbook.com/ui/catalog.html#/itemDetail?itemId=HERY4832YER01&uom=CT")
# Get token using regular expression
productRecommToken = re.search("'productRecommToken','(.+)'", response.text)[1]
# Get list of keys using regular expression
listKey = re.search("'listKey',\\['(.*?)'\\]", response.text)[1].split("','")
# Create header with token
headers = {
'Accept': 'application/json, text/plain, */*',
'Referer': 'http://biggestbook.com/ui/catalog.html',
'Origin': 'http://biggestbook.com',
'DNT': '1',
'token': productRecommToken,
'BiggestBook-Handle-Errors-Generically': 'true',
}
# Create parameters with list keys and search values
params = (
('listKey', listKey),
('uom', 'CT'),
('vc', 'n'),
('win', 'HERY4832YER01'),
)
# Return json with all details about product
response = requests.get('https://api.essendant.com/digital/digitalservices/search/v1/items',
headers=headers,
params=params)
data = response.json()
# Get items from json, probably could be more than one
items = data["items"]
# Iterate and get details you need. Check "data" to see all possible details you can get
for i in items:
print(i["manufacturer"])
print(i["description"])
print(i["actualPrice"])
# Get attributes
attributes = i["attributes"]
# Example hot you can get specific one attribute.
thickness = list(filter(lambda d: d['name'] == 'Thickness', attributes))[0]["value"]
# Print all attributes as name = value
for a in attributes:
print(f"{a['name']} = {a['value']}")