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@MichelleDalalJian
Last active November 18, 2023 00:44
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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.
#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)
@TheMicroTecHub
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image

@TheMicroTecHub
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This is the error I am getting can anybody help?

@mzaheerulislam
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mzaheerulislam commented Feb 6, 2023 via email

@FelipeVidalV
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Notes Regarding the Use of BeautifulSoup
The sample code for this course and textbook examples use BeautifulSoup to parse HTML.

Using BeautifulSoup 4 with Python 3.10 or Python 3.11

Instructions for Windows 10:

  1. pip install beautifulsoup4 (run this command)

  2. if the bs4.zip file was downloaded, delete it

Instructions for MacOS:

  1. pip3 install beautifulsoup4 (run this command)

  2. if the bs4.zip file was downloaded or you have a bs4 folder, delete it

Using BeautifulSoup 3 (only for Python 3.8 or Python 3.9)

If you want use our samples "as is", download our Python 3 version of BeautifulSoup 3 from

http://www.py4e.com/code3/bs4.zip

You must unzip this into a "bs4" folder and have that folder as a sub-folder of the folder where you put our sample code like:

http://www.py4e.com/code3/urllinks.py

@Vicwambua
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Hello I tried this for the same question:

#Scraping Numbers from HTML using BeautifulSoup

from urllib.request import urlopen
from bs4 import BeautifulSoup
import ssl
import re

Ignore SSL certificate errors

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

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

Retrieve all of the anchor tags

counts = dict()
my_list = list()
tags = soup('span')
for tag in tags:
# Look at the parts of a tag
num = str(tag)
number = re.findall('[0-9]+', num)
if len(number) != 1:
continue
for integer in number:
integer = int(y)
my_list = append(integer)
counts[integer] = counts.get(integer, 0 ) + 1
print('Count ', counts)
#or you can say
#print('Count ', len(my_list))
print('Sum ', sum(my_list))

@Mzainabdin
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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

@AreebaYousuf
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import urllib.request
from bs4 import BeautifulSoup
# Prompt user for URL
url = input('Enter URL: ')

# Read HTML from URL
html = urllib.request.urlopen(url).read()

#Parse the HTML using BeautifulSoup
soup = BeautifulSoup(html, 'html.parser')

# Find all span tags
tags = soup('span')
# Sum up the numbers
sum = 0
for tag in tags:
sum += int(tag.contents[0])

# Print the sum
print(sum)

@alghamdiim
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Being new to Python i have figured out a way to retrieve the right answer. Honestly, I'm not sure if there is a better way but it was easier than i thought. Hope it helps you guys ou parsing t

Thank you so much!!!

@ShuckZ77
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ShuckZ77 commented May 7, 2023

import urllib.request, urllib.parse, urllib.error
from bs4 import BeautifulSoup
import ssl
import re

Ignore SSL certificate errors

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

url = input('ENTER URL:') #http://py4e-data.dr-chuck.net/comments_1692181.html

fhand = urllib.request.urlopen(url,context=ctx).read()

soup = BeautifulSoup(fhand,'html.parser')

#print(soup)

Retrieve all of the anchor tags

tags = soup('span')

lst=list()

for tag in tags:
tag = str(tag)
#print(tag)
tag2 = re.findall('[0-9]+',tag)
tag3 = int(tag2[0])
lst.append(tag3)

#print(lst)

total = sum(lst)

print(total)

@Jackyandsky
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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.

@Mk-Hamzaoui
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image
c'est quoi le probleme

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

@Albedo100
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uninstall the zip folder and the extracted folder of bs4 and install it using your command prompt by typing: -
pip install beautifulsoup4

@katsuspec
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ayuda1
ayuda1 1
help mee pls
Sum: ???
Code: ???

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