Python BeautifulSoup Looping Through Table Data

Very new to Python here. I'm trying to capture some data from this page this page. I'm trying to get the item name and the item type captured in two lists. I can figure out how to join them into one table later. Any help would be great!

The lines of code work on their own but the loop doesn't work for me. This produces two lines of code successfully:

import urllib
import bs4 as bs

sauce = urllib.request.urlopen(‘https://us.diablo3.com/en/item/helm/’).read()
soup = bs.BeautifulSoup(sauce, ‘lxml’)

item_details = soup.find(‘tbody’)
print(item_details)

item_name = item_details.find(‘div’, class_=‘item-details’).h3.a.text
print(item_name)

item_type = item_details.find(‘ul’, class_=‘item-type’).span.text
print(item_type)

This repeats the value of the first item_name over and over:

for div in soup.find_all(‘div’, class_=‘item-details’):
item_name = item_details.find(‘div’, class_=‘item-details’).h3.a.text
print(item_name)
item_type = item_details.find(‘ul’, class_=‘item-type’).span.text
print(item_type)

This is the output:

Veil of Steel
Magic Helm
Veil of Steel
Magic Helm
Veil of Steel
Magic Helm
Veil of Steel
Magic Helm
Veil of Steel
Magic Helm
Veil of Steel
Magic Helm
Veil of Steel
Magic Helm


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5) Print The File Path Of Imported Modules.

6) Return Multiple Values From Functions.

7) Find The Most Frequent Value In A List.

8) Check The Memory Usage Of An Object.

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In the programming world, Data types play an important role. Each Variable is stored in different data types and responsible for various functions. Python had two different objects, and They are mutable and immutable objects.

Table of Contents  hide

I Mutable objects

II Immutable objects

III Built-in data types in Python

Mutable objects

The Size and declared value and its sequence of the object can able to be modified called mutable objects.

Mutable Data Types are list, dict, set, byte array

Immutable objects

The Size and declared value and its sequence of the object can able to be modified.

Immutable data types are int, float, complex, String, tuples, bytes, and frozen sets.

id() and type() is used to know the Identity and data type of the object

a**=25+**85j

type**(a)**

output**:<class’complex’>**

b**={1:10,2:“Pinky”****}**

id**(b)**

output**:**238989244168

Built-in data types in Python

a**=str(“Hello python world”)****#str**

b**=int(18)****#int**

c**=float(20482.5)****#float**

d**=complex(5+85j)****#complex**

e**=list((“python”,“fast”,“growing”,“in”,2018))****#list**

f**=tuple((“python”,“easy”,“learning”))****#tuple**

g**=range(10)****#range**

h**=dict(name=“Vidu”,age=36)****#dict**

i**=set((“python”,“fast”,“growing”,“in”,2018))****#set**

j**=frozenset((“python”,“fast”,“growing”,“in”,2018))****#frozenset**

k**=bool(18)****#bool**

l**=bytes(8)****#bytes**

m**=bytearray(8)****#bytearray**

n**=memoryview(bytes(18))****#memoryview**

Numbers (int,Float,Complex)

Numbers are stored in numeric Types. when a number is assigned to a variable, Python creates Number objects.

#signed interger

age**=**18

print**(age)**

Output**:**18

Python supports 3 types of numeric data.

int (signed integers like 20, 2, 225, etc.)

float (float is used to store floating-point numbers like 9.8, 3.1444, 89.52, etc.)

complex (complex numbers like 8.94j, 4.0 + 7.3j, etc.)

A complex number contains an ordered pair, i.e., a + ib where a and b denote the real and imaginary parts respectively).

String

The string can be represented as the sequence of characters in the quotation marks. In python, to define strings we can use single, double, or triple quotes.

# String Handling

‘Hello Python’

#single (') Quoted String

“Hello Python”

# Double (") Quoted String

“”“Hello Python”“”

‘’‘Hello Python’‘’

# triple (‘’') (“”") Quoted String

In python, string handling is a straightforward task, and python provides various built-in functions and operators for representing strings.

The operator “+” is used to concatenate strings and “*” is used to repeat the string.

“Hello”+“python”

output**:****‘Hello python’**

"python "*****2

'Output : Python python ’

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Introduction

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This is a preview of the Getting Started With Data Lakes Refcard. To read the entire Refcard, please download the PDF from the link above.

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