I have these elements
<button class="PurchaseButton reseller-purchase-button btn-min-width btn-buy-md ng-binding" data-button-type="reseller" data-expected-price="499" data-expected-seller-id="1848858135" data-seller-name="FroggyTheSaviour" data-userasset-id="881646002" data-product-id="11837918" data-item-id="76692866" data-item-name="Aqueous Egg of River Riding" data-asset-type="Hat" data-bc-requirement="0" data-expected-currency="1" ng-hide="resaleRecord.seller.id === $ctrl.authenticatedUser.id" ng-bind="'Action.Buy' | translate">Buy</button>
I want to extract
data-expected-price, data-expected-seller-id, and data-product-id="11837918
How would I do this?
I tried :
soup = BeautifulSoup(requests.get(url).content, 'html.parser')
t = soup.find("button", {"class": "PurchaseButton reseller-purchase-button btn-min-width btn-buy-md ng-binding"})['data-expected-price'].text
You can use CSS selector [data-expected-price] to select tag that contains attribute data-expected-price=.... Similar for other attributes, for example:
from bs4 import BeautifulSoup
txt = '''<button class="PurchaseButton reseller-purchase-button btn-min-width btn-buy-md ng-binding" data-button-type="reseller" data-expected-price="499" data-expected-seller-id="1848858135" data-seller-name="FroggyTheSaviour" data-userasset-id="881646002" data-product-id="11837918" data-item-id="76692866" data-item-name="Aqueous Egg of River Riding" data-asset-type="Hat" data-bc-requirement="0" data-expected-currency="1" ng-hide="resaleRecord.seller.id === $ctrl.authenticatedUser.id" ng-bind="'Action.Buy' | translate">Buy</button>'''
soup = BeautifulSoup(txt, 'html.parser')
data_expected_price = soup.select_one('[data-expected-price]')['data-expected-price']
data_expected_seller_id = soup.select_one('[data-expected-seller-id]')['data-expected-seller-id']
data_product_id = soup.select_one('[data-product-id]')['data-product-id']
print(data_expected_price)
print(data_expected_seller_id)
print(data_product_id)
Prints:
499
1848858135
11837918
EDIT: To load the data from URL, you can do for example:
import requests
from bs4 import BeautifulSoup
url = 'https://www.roblox.com/catalog/74939534/St-Patricks-Day-2012'
soup = BeautifulSoup(requests.get(url).content, 'html.parser')
data_expected_price = soup.select_one('[data-expected-price]')['data-expected-price']
data_expected_seller_id = soup.select_one('[data-expected-seller-id]')['data-expected-seller-id']
data_product_id = soup.select_one('[data-product-id]')['data-product-id']
print(data_expected_price)
print(data_expected_seller_id)
print(data_product_id)
Prints:
502
175785764
11549631
Related
I'm trying to just get the price off a website and found that "class="udYkAW2UrhZln2Iv62EYb" " gave me the price in one line. but when I try to print it out I keep getting
<span class="udYkAW2UrhZln2Iv62EYb">$0.312423</span>
and not just the price itself. I fixed this by using a for loop to get me item, but is there a way to just display the price with a print function without a for loop?
Please and thank you.
Here's the code
from bs4 import BeautifulSoup as bs
import requests
url = 'https://robinhood.com/crypto/DOGE'
r = requests.get(url)
#make to soup
soup = bs(r.content, 'lxml')
#where the price of the search was found "span class='udYkAW2UrhZln2Iv62EYb'"
#Using find() because this is the first instance of this class
price_class = soup.find('span', {'class' : 'udYkAW2UrhZln2Iv62EYb'})
print(price_class)
type(price_class)
#outout: <span class="udYkAW2UrhZln2Iv62EYb">$0.312423</span>
#output: bs4.element.Tag
for i in price_class:
print(i)
#output: $0.312423
Use .text or .get_text():
from bs4 import BeautifulSoup as bs
import requests
url = "https://robinhood.com/crypto/DOGE"
r = requests.get(url)
soup = bs(r.content, "lxml")
price = soup.find("span", {"class": "udYkAW2UrhZln2Iv62EYb"})
print(price.text) # <--- use .text
Prints:
$0.315917
I'm trying to extract the content marked by <div class="sense"> in abc. With ''.join(map(str, soup.select_one('.sense').contents)), I only get the content between markers, i.e xyz. To fulfill my job, I also need the full <div class="sense">xyz</div>
from bs4 import BeautifulSoup
abc = """abcdd<div class="sense">xyz</div>"""
soup = BeautifulSoup(abc, 'html.parser')
content1 = ''.join(map(str, soup.select_one('.sense').contents))
print(content1)
and the result is xyz. Could you please elaborate on how to achieve my goal?
Try:
from bs4 import BeautifulSoup
abc = """abcdd<div class="sense">xyz</div>"""
soup = BeautifulSoup(abc, 'html.parser')
div = soup.find('div', attrs={'class': 'sense'})
print(div)
prints:
<div class="sense">xyz</div>
I just want the written text out of this website: https://algorithms-tour.stitchfix.com/ so I can put it in Word doc and read it.
When I run the code, I get all the html and the tags, at the very end I get what I want, but I just want to separate the text.
import requests
from bs4 import BeautifulSoup
url = "https://algorithms-tour.stitchfix.com"
response = requests.get(url)
html = response.text
soup = BeautifulSoup(html, "html.parser")
item = soup.find_all("p")
print(item)
Is there a way to get just content so I can clean it up some more?
You have a few options for this. If you only want text found within p tags, you can do this:
import requests
from bs4 import BeautifulSoup
url = "https://algorithms-tour.stitchfix.com"
response = requests.get(url)
html = response.text
soup = BeautifulSoup(html, "html.parser")
items = soup.find_all("p")
result = []
for item in items:
result.append(item.string)
print(result)
Note that soup.find_all returns an iterable list, and not a single object.
An alternative, and easier method is to just use soup.get_text:
import requests
from bs4 import BeautifulSoup
url = "https://algorithms-tour.stitchfix.com"
response = requests.get(url)
html = response.text
soup = BeautifulSoup(html, "html.parser")
print(soup.get_text())
I am trying to get data from yellowpages, but i need only numbered plumbers. But i can't get text numbers in h2 class='n'. I can get a class="business-name" text but i need only numbered plumbers not with advertisement. What is my mistake? Thank you very much.
This html :
<div class="info">
<h2 class="n">1. <a class="business-name" href="/austin-tx/mip/johnny-rooter-11404675?lid=171372530" rel="" data-impressed="1"><span>Johnny Rooter</span></a></h2>
</div>
And this is my python code:
import requests
from bs4 import BeautifulSoup as bs
url = "https://www.yellowpages.com/austin-tx/plumbers"
req = requests.get(url)
data = req.content
soup = bs(data, "lxml")
links = soup.findAll("div", {"class": "info"})
for link in links:
for content in link.contents:
try:
print(content.find("h2", {"class": "n"}).text)
except:
pass
You need a different class selector to limit to that section
import requests
from bs4 import BeautifulSoup as bs
url = "https://www.yellowpages.com/austin-tx/plumbers"
req = requests.get(url)
data = req.content
soup = bs(data, "lxml")
links = [item.text.replace('\xa0','') for item in soup.select('.organic h2')]
print(links)
.organic is a single class selector, from a compound class, for a parent element which restricts to all the numbered plumbers. Observe how the highlighting starts after the ads:
Output:
I want to extract"1.02 Crores" and "7864" from html code and save them in different column in csv file.
Code:
<div class="featuresvap _graybox clearfix"><h3><span><i class="icon-inr"></i>1.02 Crores</span><small> # <i class="icon-inr"></i><b>7864/sq.ft</b> as per carpet area</small></h3>
Not sure about the actual data but this is just something that I threw together really quick. If you need it to navigate to a website then use import requests. you'' need to add url = 'yourwebpagehere' page = requests.get(url) and change soup to soup = BeautifulSoup(page.text, 'lxml') then remove the html variable since it would be unneeded.
from bs4 import BeautifulSoup
import csv
html = '<div class="featuresvap _graybox clearfix"><h3><span><i class="icon-inr"></i>1.02 Crores</span><small> # <i class="icon-inr"></i><b>7864/sq.ft</b> as per carpet area</small></h3>'
soup = BeautifulSoup(html, 'lxml')
findSpan = soup.find('span')
findB = soup.find('b')
print([findSpan.text, findB.text.replace('/sq.ft', '')])
with open('NAMEYOURFILE.csv', 'w+') as writer:
csv_writer = csv.writer(writer)
csv_writer.writerow(["First Column Name", "Second Column Name"])
csv_writer.writerow([findSpan, findB])
self explained in code
from bs4 import BeautifulSoup
# data for first column
firstCol = []
# data for second column
secondCol = []
for url in listURL:
html = '.....' # downloaded html
soup = BeautifulSoup(html, 'html.parser')
# 'select_one' select using CSS selectors, return only first element
fCol = soup.select_one('.featuresvap h3 span')
# remove: <i class="icon-inr"></i>
span.find("i").extract()
sCol = soup.select_one('.featuresvap h3 b')
firstCol.append(fCol.text)
secondCol.append(sCol.text.replace('/sq.ft', ''))
with open('results.csv', 'w') as fl:
csvContent = ','.join(firstCol) + '\n' + ','.join(secondCol)
fl.write(csvContent)
''' sample results
1.02 Crores | 2.34 Crores
7864 | 2475
'''
print('finish')