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Beautifulsoup can not find table containing specific class

from bs4 import BeautifulSoup
import requests
url="https://www.calculator.net/currency-calculator.html"
# Make a GET request to fetch the raw HTML content
html_content = requests.get(url).text
# Parse the html content
soup = BeautifulSoup(html_content,'html5lib')
print(soup.prettify()) # print the parsed data of html
conv_table = soup.find("table", attrs={"class":"cinfoT "})
conv_data = gdp_table.tbody.find_all("tr")
I have written the above script to get the table listed on this particular website.
when i run the same conv_table comes as None type object.
If you visit the website, basically i want to extract the 2nd table bigger table and its class name contains "cinfoT ". Also i have checked that there are some blank spaces in the class name.
Please help me out.
Thanks in advance.

It is because this data is loaded by javascript. Try selenium. requests will give you plain html file
from selenium import webdriver
from bs4 import BeautifulSoup
DRIVER_PATH="Your selenium chrome driver path"
url = 'https://www.calculator.net/currency-calculator.html'
driver = webdriver.Chrome(executable_path=DRIVER_PATH)
driver.get(url)
html_soup = BeautifulSoup(driver.page_source, 'html.parser')
table = html_soup.find_all('table', class_ = 'cinfoT ')
driver.quit()
print(table[0].tbody)

Not able to find a link in a product page

I am trying to make a list of the links that are inside a product page.
I have multiple links through which I want to get the links of the product page.
I am just posting the code for a single link.
r = requests.get("https://funskoolindia.com/products.php?search=9723100")
soup = BeautifulSoup(r.content)
for a_tag in soup.find_all('a', class_='product-bg-panel', href=True):
print('href: ', a_tag['href'])
This is what it should print: https://funskoolindia.com/product_inner_page.php?product_id=1113

The site is dynamic, thus, you can use selenium
from bs4 import BeautifulSoup as soup
from selenium import webdriver
d = webdriver.Chrome('/path/to/chromedriver')
d.get('https://funskoolindia.com/products.php?search=9723100')
results = [*{i.a['href'] for i in soup(d.page_source, 'html.parser').find_all('div', {'class':'product-media light-bg'})}]
Output:
['product_inner_page.php?product_id=1113']

The data are loaded dynamically through Javascript from different URL. One solution is using selenium - that executes Javascript and load links that way.
Other solution is using re module and parse the data url manually:
import re
import requests
from bs4 import BeautifulSoup
url = 'https://funskoolindia.com/products.php?search=9723100'
data_url = 'https://funskoolindia.com/admin/load_data.php'
data = {'page':'1',
'sort_val':'new',
'product_view_val':'grid',
'show_list':'12',
'brand_id':'',
'checkboxKey': re.findall(r'var checkboxKey = "(.*?)";', requests.get(url).text)[0]}
soup = BeautifulSoup(requests.post(data_url, data=data).text, 'lxml')
for a in soup.select('#list-view .product-bg-panel > a[href]'):
print('https://funskoolindia.com/' + a['href'])
Prints:
https://funskoolindia.com/product_inner_page.php?product_id=1113

try this : print('href: ', a_tag.get("href"))
and add features="lxml" to the BeautifulSoup constructor

Beautifulsoup extracting urls from a given website menu

Hello every one I'm new to beautifulsoup, I'm trying to write a function that will be able to extract second level urls from a given website.
For example if I have this website url : https://edition.cnn.com/ my function should be able to return
https://edition.cnn.com/world
https://edition.cnn.com/politics
https://edition.cnn.com/business
https://edition.cnn.com/health
https://edition.cnn.com/entertainment
https://edition.cnn.com/style
https://edition.cnn.com/travel
first I have tried this code to retrieve all links starting with the string of the url:
from bs4 import BeautifulSoup as bs4
import requests
import lxml
import re
def getLinks(url):
response = requests.get(url)
data = response.text
soup = bs4(data, 'lxml')
links = []
for link in soup.find_all('a', href=re.compile(str(url))):
links.append(link.get('href'))
return links
But then again the actual output is giving me all the links even links of articles which is not I'm looking for. is there a method that I can use to get what I want using regular expression or others.

The links are inside <nav> tag, so using CSS selector nav a[href] will select only links inside <nav> tag:
import requests
from bs4 import BeautifulSoup
url = 'https://edition.cnn.com'
soup = BeautifulSoup(requests.get(url).text, 'lxml')
for a in soup.select('nav a[href]'):
if a['href'].count('/') > 1 or '#' in a['href']:
continue
print(url + a['href'])
Prints:
https://edition.cnn.com/world
https://edition.cnn.com/politics
https://edition.cnn.com/business
https://edition.cnn.com/health
https://edition.cnn.com/entertainment
https://edition.cnn.com/style
https://edition.cnn.com/travel
https://edition.cnn.com/sport
https://edition.cnn.com/videos
https://edition.cnn.com/world
https://edition.cnn.com/africa
https://edition.cnn.com/americas
https://edition.cnn.com/asia
https://edition.cnn.com/australia
https://edition.cnn.com/china
https://edition.cnn.com/europe
https://edition.cnn.com/india
https://edition.cnn.com/middle-east
https://edition.cnn.com/uk
...and so on.

Problem with scraping data from website with BeautifulSoup

I am trying to take a movie rating from the website Letterboxd. I have used code like this on other websites and it has worked, but it is not getting the info I want off of this website.
import requests
from bs4 import BeautifulSoup
page = requests.get("https://letterboxd.com/film/avengers-endgame/")
soup = BeautifulSoup(page.content, 'html.parser')
final = soup.find("section", attrs={"class":"section ratings-histogram-
chart"})
print(final)
This prints nothing, but there is a tag in the website for this class and the info I want is under it.

The reason behind this, is that the website loads most of the content asynchronously, so you'll have to look at the http requests it sends to the server in order to load the page content after loading the page layout. You can find them in "network" section in the browser (F12 key).
For instance, one of the apis they use to load the rating is this one:
https://letterboxd.com/csi/film/avengers-endgame/rating-histogram/

You can get the weighted average from another tag
import requests
from bs4 import BeautifulSoup as bs
r = requests.get('https://letterboxd.com/film/avengers-endgame/')
soup = bs(r.content, 'lxml')
print(soup.select_one('[name="twitter:data2"]')['content'])
Text of all histogram
import requests
from bs4 import BeautifulSoup as bs
r = requests.get('https://letterboxd.com/csi/film/avengers-endgame/rating-histogram/')
soup = bs(r.content, 'lxml')
ratings = [item['title'].replace('\xa0',' ') for item in soup.select('.tooltip')]
print(ratings)

Web-crawler for facebook in python

I am tring to work with web-Crawler in python to print the number of facebook recommenders. for example in this article from sky-news(http://news.sky.com/story/1330046/are-putins-little-green-men-back-in-ukraine)
there are about 60 facebook reccomends. I want to print this number in the python program with web-crawler.
i tried to do this, but it doesn't print anything:
import requests
from bs4 import BeautifulSoup
def get_single_item_data(item_url):
source_code = requests.get(item_url)
plain_text = source_code.text
soup = BeautifulSoup(plain_text)
# if you want to gather information from that page
for item_name in soup.findAll('span', {'class': 'pluginCountTextDisconnected'}):
try:
print(item_name.string)
except:
print("error")
get_single_item_data("http://news.sky.com/story/1330046/are-putins-little-green-men-back-in-ukraine")

The Facebook recommends loads in an iframe. You can follow the iframe src attribute to that page, and then load the span.pluginCountTextDisconnected's text:
import requests
from bs4 import BeautifulSoup
url = 'http://news.sky.com/story/1330046/are-putins-little-green-men-back-in-ukraine'
r = requests.get(url) # get the page through requests
soup = BeautifulSoup(r.text) # create a BeautifulSoup object from the page's HTML
url = soup('iframe')[0]['src'] # search for the iframe element and get its src attribute
r = requests.get('http://' + url[2:]) # get the next page from requests with the iframe URL
soup = BeautifulSoup(r.text) # create another BeautifulSoup object
print(soup.find('span', class_='pluginCountTextDisconnected').string) # get the directed information
The second requests.get is written as such due to the src attribute returning //www.facebook.com/plugins/like.php?href=http%3A%2F%2Fnews.sky.com%2Fstory%2F1330046&send=false&layout=button_count&width=120&show_faces=false&action=recommend&colorscheme=light&font=arial&height=21. I added the http:// and ignored the leading //.
BeautifulSoup documentation
Requests documentation

Facebook recommends are loaded dynamically from javascript, so they won't be available to your HTML parser. You will need to use the Graph API and FQL to get your answer directly from Facebook.
Here is a web console where you can explore queries once you have generated an access token.