Python beautifulsoup, scraping a table in a website

Question

I recently started to get interested in Web scraping via the python library beautifulsoup4, My goal is to get The data about the covid-19 cases (in Morocco is a good start); The website my info is in is : "https://www.worldometers.info/coronavirus/" There is a Big Table with all the info, i've tried to do something like this :

U = 'https://www.worldometers.info/coronavirus/'
response = requests.get(U)
html_soup = BeautifulSoup(response.text, 'html.parser')
info = html_soup.find_all('tr', class_='even')
print(info)

But the info list is empty i tried to change classes and the Tags but it seems like i'm doing something wrong (The morrocco info is on the 30 row)

UPDATE : i used selenium to get my info, btw i use google collab so it was kinda hard but now way better Da link for the solution in a python notebook format

Answer 1

The data is being dynamically generated via JS. If you go into your browser and disable Javascript in the dev tools, you will see that there are no elements with <tr class="even">

You will either need to find out where the data is being obtained (via some web API) using a tool like HTTP Trace or use something like Selenium which will run the Javascript to load the HTML.

Answer 2

您想传递标签属性的字典：

info = html_soup.find_all('tr', {'class':'even'})

Answer 3

This gave me a full list countries.

url       = 'https://www.worldometers.info/coronavirus/'

response  = requests.get(url)

html_soup = BeautifulSoup(response.text, 'html.parser')
info      = html_soup.find_all('a', {'class':'mt_a'})


print(info[29].text) # returns Marocco


# All the rest

for i in info:  
  print(i.text)