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web scraping table with selenium gets only html elements but no content

I am trying to scrape tables using selenium and beautifulsoup from this 3 websites:
https://www.erstebank.hr/hr/tecajna-lista
https://www.otpbanka.hr/tecajna-lista
https://www.sberbank.hr/tecajna-lista/
For all 3 websites result is HTML code for the table but without text.
My code is below:
import requests
from bs4 import BeautifulSoup
import pyodbc
import datetime
from selenium import webdriver
PATH = r'C:\Users\xxxxxx\AppData\Local\chromedriver.exe'
driver = webdriver.Chrome(PATH)
driver.get('https://www.erstebank.hr/hr/tecajna-lista')
driver.implicitly_wait(10)
soup = BeautifulSoup(driver.page_source, 'lxml')
table = soup.find_all('table')
print(table)
driver.close()
Please help what am I missing?
Thank you

The Website is taking time to load the data in the table.
Either Apply time.sleep
import time
driver.get('https://www.erstebank.hr/hr/tecajna-lista')
time.sleep(10)...
Or apply Explicit wait such that the rows are loaded in the tabel.
import requests
from bs4 import BeautifulSoup
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.wait import WebDriverWait
driver = webdriver.Chrome(executable_path="path to chromedriver.exe")
driver.maximize_window()
driver.get('https://www.erstebank.hr/hr/tecajna-lista')
wait = WebDriverWait(driver,30)
wait.until(EC.presence_of_all_elements_located((By.XPATH,"//table/tbody/tr[#class='ng-scope']")))
# driver.find_element_by_id("popin_tc_privacy_button_2").click() # Cookie setting pop-up. Works fine even without dealing with this pop-up.
soup = BeautifulSoup(driver.page_source, 'html5lib')
table = soup.find_all('table')
print(table)

BeautifulSoup will not find the table as it doesn't exist from it's reference point. Here, you tell Selenium to pause the Selenium driver matcher if it notices that an element is not present yet:
# This only works for the Selenium element matcher
driver.implicitly_wait(10)
Then, right after that, you get the current HTML state (table still does not exist) and put it into BeautifulSoup's parser. BS4 will not be able to see the table, even if it loads in later, because it will use the current HTML code you just gave it:
# You now move the CURRENT STATE OF THE HTML PAGE to BeautifulSoup's parser
soup = BeautifulSoup(driver.page_source, 'lxml')
# As this is now in BS4's hands, it will parse it immediately (won't wait 10 seconds)
table = soup.find_all('table')
# BS4 finds no tables as, when the page first loads, there are none.
To fix this, you can ask Selenium to try and get the HTML table itself. As Selenium will use the implicitly_wait you specified earlier, it will wait until it exists, and only then allow the rest of the code execution to persist. At that point, when BS4 receives the HTML code, the table will be there.
driver.implicitly_wait(10)
# Selenium will wait until the element is found
# I used XPath, but you can use any other matching sequence to get the table
driver.find_element_by_xpath("/html/body/div[2]/main/div/section/div[2]/div[1]/div/div/div/div/div/div/div[2]/div[6]/div/div[2]/table/tbody/tr[1]")
soup = BeautifulSoup(driver.page_source, 'lxml')
table = soup.find_all('table')
However, this is a bit overkill. Yes, you can use Selenium to parse the HTML, but you could also just use the requests module (which, from your code, I see you already have imported) to get the table data directly.
The data is asynchronously loaded from this endpoint (you can use the Chrome DevTools to find it yourself). You can pair this with the json module to turn it into a nicely formatted dictionary. Not only is this method faster, but it is also much less resource intensive (Selenium has to open a whole browser window).
from requests import get
from json import loads
# Get data from URL
data_as_text = get("https://local.erstebank.hr/rproxy/webdocapi/fx/current").text
# Turn to dictionary
data_dictionary = loads(data_as_text)

You can use this as the foundation for further work:-
from bs4 import BeautifulSoup as BS
from selenium import webdriver
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
TDCLASS = 'ng-binding'
options = webdriver.ChromeOptions()
options.add_argument('--headless')
with webdriver.Chrome(options=options) as driver:
driver.get('https://www.erstebank.hr/hr/tecajna-lista')
try:
# There may be a cookie request dialogue which we need to click through
WebDriverWait(driver, 5).until(EC.presence_of_element_located(
(By.ID, 'popin_tc_privacy_button_2'))).click()
except Exception:
pass # Probably timed out so ignore on the basis that the dialogue wasn't presented
# The relevant <td> elements all seem to be of class 'ng-binding' so look for those
WebDriverWait(driver, 5).until(
EC.presence_of_element_located((By.CLASS_NAME, TDCLASS)))
soup = BS(driver.page_source, 'lxml')
for td in soup.find_all('td', class_=TDCLASS):
print(td)

Webdriver not returning some data

I am trying to get some information from a website. The Web Inspector shows the html source, with what JavaScript rendered into it. So I wanted to use chromedriver to render it for the purpose of extracting certain information, which cannot be accessed by simply requesting the website.
Now what seems confusing, is that even the driver is not returning anything.
My code looks like this:
driver = webdriver.Chrome('path/Chromedriver')
driver.get(url)
soup = BeautifulSoup(driver.page_source, 'html.parser')
results = soup.find_all("tr", class_="odd")
And the website is:
https://www.amundietf.co.uk/professional/product/view/LU1681038243
Is there anything else that gets rendered into the html, when the Web Inspector is opened, which Chromedriver is not able to handle?
Thanks for your answers in advance!

At least you need to accept privacy settings, than click validateDisclaimer to site:
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 bs4 import BeautifulSoup
url = "https://www.amundietf.co.uk/professional/product/view/LU1681038243"
driver = webdriver.Chrome(executable_path='/snap/bin/chromium.chromedriver')
driver.implicitly_wait(10)
driver.get(url)
driver.find_element_by_id("footer_tc_privacy_button_3").click()
driver.find_element_by_id("validateDisclaimer").click()
WebDriverWait(driver, 5).until(EC.visibility_of_element_located((By.CSS_SELECTOR, ".fpFrame.fpBannerMore #blockleft>#part_principale_1")))
soup = BeautifulSoup(driver.page_source, 'html.parser')
results = soup.find_all("tr", class_="odd")
print(results)
After it you need to wait for your page to load and to define elements you are looking for correctly.
Your question really contains many questions, that should be solved one by one.
I just pointed out the first of the problems.
Update
I solved the issue.
You will need to parse result by yourself.
So, you had problems:
Did not click two buttons.
Did not wait for a table you need to load.
Did not have any waits. In Selenium you must use them.

beautifulsoup scrape realtime values

i am trying to scrape the currency rates for a personal project, i used css selector to get the class where the values are. There's a javascript providing those values on the website and it seems i am noot too connversant with the developers console, i checked it out and i could not see anything running in real time in the networks section. This is the code i wrote, so far, it brings out a long list of dashes. surprisingly, the dashes match the source code for those parts were the rates are supposed to show.
from bs4 import BeautifulSoup
import requests
r = requests.get("https://www.ig.com/en/forex/markets-forex")
soup = BeautifulSoup(r.content, "html.parser")
results = soup.findAll("span",attrs={"data-field": "CPT"})
for span in results:
print(span.text)

Span-elements filling via JS, dynamic values. On start each span-element contains '-'.
You need js driver for wait to fill elements and then get values from spans.
With selenium:
from selenium import webdriver
from selenium.webdriver.common.by import By
driver = webdriver.Chrome('./chromedriver')
driver.get('https://www.ig.com/en/forex/markets-forex')
for elm in driver.find_elements(By.CSS_SELECTOR, "span[data-field=CPT]"):
print(elm, elm.text)
chromedriver download from https://sites.google.com/a/chromium.org/chromedriver/home
Also, dryscrape + bs4, but dryscrape seems outdated. Example here
Modified:
import time
from selenium import webdriver
from selenium.webdriver.common.by import By
driver = webdriver.Chrome('./chromedriver')
driver.get('https://www.ig.com/en/forex/markets-forex')
time.sleep(2) # Maybe more or less, how much faster page load
for elm in driver.find_elements(By.CSS_SELECTOR, "span[data-field=CPT]"):
if elm.text:
print(elm, elm.text)
or
import time
from selenium import webdriver
from selenium.webdriver.common.by import By
driver = webdriver.Chrome('./chromedriver')
driver.get('https://www.ig.com/en/forex/markets-forex')
data = []
while not data:
for elm in driver.find_elements(By.CSS_SELECTOR, "span[data-field=CPT]"):
if elm.text and elm.text != '-': # Maybe check on contains digit
data.append(elm.text)
time.sleep(1)
print(data)

Trying to Get Selenium to Download Data Based on JavaScript...I think

I am trying to download data from the following URL.
https://www.nissanusa.com/dealer-locator.html
I came up with this, but it doen't actually grab any of the data.
import urllib.request
from bs4 import BeautifulSoup
url = "https://www.nissanusa.com/dealer-locator.html"
text = urllib.request.urlopen(url).read()
soup = BeautifulSoup(text)
data = soup.findAll('div',attrs={'class':'dealer-info'})
for div in data:
links = div.findAll('a')
for a in links:
print(a['href'])
I've done this a couple times before, and it has always worked in the past. I'm guessing the data is dynamically generated by JavaScript, based on the filters that a user selects, but I don't know for sure. I've read that Selenium can be used to automate a web browser, but I have never used it, and I'm not really sure where to start. Ultimately, I am trying to get the data in this format, in the image below. Either printed in the Console Window, or downloaded to a CSV, would be fine.
Finally, how the heck does the site get the data? Whether I enter New York City or San Francisco, the map and the data set changes relative to the filter that is applied, but the URL does not change at all. Thanks in advance.

Use selenium to open/navigate to the page, then pass the page source to BeautifulSoup.
from selenium import webdriver
from selenium.common.exceptions import TimeoutException
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.wait import WebDriverWait
from bs4 import BeautifulSoup
browser = webdriver.Chrome()
wait = WebDriverWait(browser, 10)
url = 'https://www.nissanusa.com/dealer-locator.html'
browser.get(url)
time.sleep(10) // wait page open complete
html = browser.page_source
soup = BeautifulSoup(html, "html.parser")
data = soup.findAll('div',attrs={'class':'dealer-info'})
for div in data:
links = div.findAll('a')
for a in links:
print(a['href'])

How can I parse a dynamic page using Python? [duplicate]

This question already has answers here:
How to scrape dynamic webpages by Python
(2 answers)
Closed 6 years ago.
I am using Ghost and BeautifulSoup to parse a HTML page. The problem that I have, is that the content of this page is dynamic (created with angularJS). At the beginning the html only shows something like "please wait! page loading". After a few seconds the content of the html appears. Using Ghost and BeatifulSoup I just get the HTML code of the loading page whith only 2 small divs. The URL stays the same. Is there a possibility to wait until the "real" content is loaded?

Load the page in a real browser (headless like PhantomJS is also an option) automated by selenium, wait for the desired contents to appear, get the .page_source and pass it to BeautifulSoup:
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.select import Select
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
driver = webdriver.PhantomJS()
driver.get("your url here")
# waiting for the page to load - TODO: change
wait = WebDriverWait(driver, 10)
wait.until(EC.visibility_of_element_located((By.ID, "content")))
data = driver.page_source
driver.close()
soup = BeautifulSoup(data, "html.parser")

Use phantomjs to open the page.
Save it as a local file using phantomjs File System Module Api.
Later use this local file handle to create BeautifulSoup object and then parse the page.
See http://www.kochi-coders.com/2014/05/06/scraping-a-javascript-enabled-web-page-using-beautiful-soup-and-phantomjs/