Scraping Numbers from HTML using BeautifulSoup. The program will use urllib to read the HTML from the data files below, and parse the data, extracting numbers and compute the sum of the numbers in the file.

py4e_ex_12_01

#Actual data: http://py4e-data.dr-chuck.net/comments_24964.html (Sum ends with 73)

from urllib import request
from bs4 import BeautifulSoup
html=request.urlopen('http://python-data.dr-chuck.net/comments_24964.html').read()
soup = BeautifulSoup(html)
tags=soup('span')
sum=0
for tag in tags:
    sum=sum+int(tag.contents[0])
print(sum)

For window user follow the instruction given by instructor in the discussion forum than the above top one code even work out for you. https://www.coursera.org/learn/python-network-data/discussions/forums/G0TMJ6G0EeqqMhL7huUnrQ/threads/Fi07MzG0EeymZRIVts3h3w
Thank you for your help, It works.

c'est quoi le probleme

jai essaie sur vs code il y a un probleme trace back et maintenant sur jupyter toujours le resultat 0

uninstall the zip folder and the extracted folder of bs4 and install it using your command prompt by typing: -
pip install beautifulsoup4

help mee pls
Sum: ???
Code: ???

Here is the way how you guys can solve this : Working code below 👍 READ ME "":: Copy the actual Data url and run the file from the cmd/terminal and then paste the in terminal or CMD like so

#! /bin/python3 from urllib.request import urlopen from bs4 import BeautifulSoup import ssl

ctx = ssl.create_default_context() ctx.check_hostname = False ctx.verify_mode = ssl.CERT_NONE

leave the url empty for now. Paste the url after running the file in cmd or terminal.

url = input("") html = urlopen(url, context=ctx).read() soup = BeautifulSoup(html, "html.parser")

spans = soup('span') numbers = []

for span in spans: numbers.append(int(span.string))

print (sum(numbers))

togithub.mp4

this is the best way to answer. run it in terminal. thank you