I am having trouble getting hyperlinks for tennis matches listed on a webpage, how do I go about fixing the code below so that it can obtain it through print?
import requests
from bs4 import BeautifulSoup
response = requests.get("https://www.betexplorer.com/results/tennis/?year=2022&month=11&day=02")
webpage = response.content
soup = BeautifulSoup(webpage, "html.parser")
print(soup.findAll('a href'))
In newer code avoid old syntax findAll() instead use find_all() or select() with css selectors - For more take a minute to check docs
Select your elements more specific and use set comprehension to avoid duplicates:
set('https://www.betexplorer.com'+a.get('href') for a in soup.select('a[href^="/tennis"]:has(strong)'))
Example
import requests
from bs4 import BeautifulSoup
r = requests.get('https://www.betexplorer.com/results/tennis/?year=2022&month=11&day=02')
soup = BeautifulSoup(r.text)
set('https://www.betexplorer.com'+a.get('href') for a in soup.select('a[href^="/tennis"]:has(strong)'))
Output
{'https://www.betexplorer.com/tennis/itf-men-singles/m15-new-delhi-2/sinha-nitin-kumar-vardhan-vishnu/tOasQaJm/',
'https://www.betexplorer.com/tennis/itf-women-doubles/w25-jerusalem/mushika-mao-mushika-mio-cohen-sapir-nagornaia-sofiia/xbNOHTEH/',
'https://www.betexplorer.com/tennis/itf-men-singles/m25-jakarta-2/barki-nathan-anthony-sun-fajing/zy2r8bp0/',
'https://www.betexplorer.com/tennis/itf-women-singles/w15-solarino/margherita-marcon-abbagnato-anastasia/lpq2YX4d/',
'https://www.betexplorer.com/tennis/itf-women-singles/w60-sydney/lee-ya-hsuan-namigata-junri/CEQrNPIG/',
'https://www.betexplorer.com/tennis/itf-men-doubles/m15-sharm-elsheikh-16/echeverria-john-marrero-curbelo-ivan-ianin-nikita-jasper-lai/nsGbyqiT/',...}
Change the last line to
print([a['href'] for a in soup.findAll('a')])
See a full tutorial here: https://pythonprogramminglanguage.com/get-links-from-webpage/
I am new to scraping. I am trying to scrape the following data. but I could not find a way to do that. Can somebody help me with that?
<h2 data-wipe-name='Titel'>Company name</h2>
I want to extract this Company Name.
You can do that using find method as follows:
Code:
from bs4 import BeautifulSoup
h2_tag ='''<h2 data-wipe-name='Titel'>Company name</h2>'''
soup= BeautifulSoup (h2_tag,'html.parser')
h2_text = soup.find('h2', {'data-wipe-name':'Titel'}).text
print(h2_text)
Output:
Company name
Welcome to - You should improve your question but a possible solution can be the following.
Solution
Select tag and it´s attribute, then get the text:
from bs4 import BeautifulSoup
html_text='''<h2 data-wipe-name='Titel'>Company name</h2>'''
soup= BeautifulSoup (html_text,'lxml')
soup.select_one('h2[data-wipe-name="Titel"]').get_text()
Output
Company name
I am using the lxml and requests modules, and just trying to parse the article from a website. I tried using find_all from BeautifulSoup but still came up empty
from lxml import html
import requests
page = requests.get('https://www.thehindu.com/news/national/karnataka/kumaraswamy-congress-leaders-meet-to-discuss-cabinet-reshuffle/article27283040.ece')
tree = html.fromstring(page.content)
article = tree.xpath('//div[#class="article"]/text()')
Once I print article, I get a list of ['\n','\n','\n','\n','\n'], rather than the body of the article. Where exactly am I going wrong?
I would use bs4 and the class name in css select_one
import requests
from bs4 import BeautifulSoup as bs
page = requests.get('https://www.thehindu.com/news/national/karnataka/kumaraswamy-congress-leaders-meet-to-discuss-cabinet-reshuffle/article27283040.ece')
soup = bs(page.content, 'lxml')
print(soup.select_one('.article').text)
If you use
article = tree.xpath('//div[#class="article"]//text()')
you get a list and still get all the \n but also the text which I think you can handle with re.sub or conditional logic.
I am running into some trouble scraping a table using BeautifulSoup. Here is my code
from urllib.request import urlopen
from bs4 import BeautifulSoup
site = "http://www.sports-reference.com/cbb/schools/clemson/2014.html"
page = urlopen(site)
soup = BeautifulSoup(page,"html.parser")
stats = soup.find('table', id = 'totals')
In [78]: print(stats)
None
When I right click on the table to inspect the element the HTML looks as I'd expect, however when I view the source the only element with id = 'totals' is commented out. Is there a way to scrape a table from the commented source code?
I have referenced this post but can't seem to replicate their solution.
Here is a link to the webpage I am interested in. I'd like to scrape the table labeled "Totals" and store it as a data frame.
I am relatively new to Python, HTML, and web scraping. Any help would be greatly appreciated.
Thanks in advance.
Michael
Comments are string instances in BeautifulSoup. You can use BeautifulSoup's find method with a regular expression to find the particular string that you're after. Once you have the string, have BeautifulSoup parse that and there you go.
In other words,
import re
from urllib.request import urlopen
from bs4 import BeautifulSoup
site = "http://www.sports-reference.com/cbb/schools/clemson/2014.html"
page = urlopen(site)
soup = BeautifulSoup(page,"html.parser")
stats_html = soup.find(string=re.compile('id="totals"'))
stats_soup = BeautifulSoup(stats_html, "html.parser")
print(stats_soup.table.caption.text)
You can do this:
from urllib2 import *
from bs4 import BeautifulSoup
site = "http://www.sports-reference.com/cbb/schools/clemson/2014.html"
page = urlopen(site)
soup = BeautifulSoup(page,"lxml")
stats = soup.findAll('div', id = 'all_totals')
print stats
Please inform me if I helped!
I am using BeautifulSoup to scrape an URL and I had the following code, to find the td tag whose class is 'empformbody':
import urllib
import urllib2
from BeautifulSoup import BeautifulSoup
url = "http://www.example.com/servlet/av/ResultTemplate=AVResult.html"
req = urllib2.Request(url)
response = urllib2.urlopen(req)
the_page = response.read()
soup = BeautifulSoup(the_page)
soup.findAll('td',attrs={'class':'empformbody'})
Now in the above code we can use findAll to get tags and information related to them, but I want to use XPath. Is it possible to use XPath with BeautifulSoup? If possible, please provide me example code.
Nope, BeautifulSoup, by itself, does not support XPath expressions.
An alternative library, lxml, does support XPath 1.0. It has a BeautifulSoup compatible mode where it'll try and parse broken HTML the way Soup does. However, the default lxml HTML parser does just as good a job of parsing broken HTML, and I believe is faster.
Once you've parsed your document into an lxml tree, you can use the .xpath() method to search for elements.
try:
# Python 2
from urllib2 import urlopen
except ImportError:
from urllib.request import urlopen
from lxml import etree
url = "http://www.example.com/servlet/av/ResultTemplate=AVResult.html"
response = urlopen(url)
htmlparser = etree.HTMLParser()
tree = etree.parse(response, htmlparser)
tree.xpath(xpathselector)
There is also a dedicated lxml.html() module with additional functionality.
Note that in the above example I passed the response object directly to lxml, as having the parser read directly from the stream is more efficient than reading the response into a large string first. To do the same with the requests library, you want to set stream=True and pass in the response.raw object after enabling transparent transport decompression:
import lxml.html
import requests
url = "http://www.example.com/servlet/av/ResultTemplate=AVResult.html"
response = requests.get(url, stream=True)
response.raw.decode_content = True
tree = lxml.html.parse(response.raw)
Of possible interest to you is the CSS Selector support; the CSSSelector class translates CSS statements into XPath expressions, making your search for td.empformbody that much easier:
from lxml.cssselect import CSSSelector
td_empformbody = CSSSelector('td.empformbody')
for elem in td_empformbody(tree):
# Do something with these table cells.
Coming full circle: BeautifulSoup itself does have very complete CSS selector support:
for cell in soup.select('table#foobar td.empformbody'):
# Do something with these table cells.
I can confirm that there is no XPath support within Beautiful Soup.
As others have said, BeautifulSoup doesn't have xpath support. There are probably a number of ways to get something from an xpath, including using Selenium. However, here's a solution that works in either Python 2 or 3:
from lxml import html
import requests
page = requests.get('http://econpy.pythonanywhere.com/ex/001.html')
tree = html.fromstring(page.content)
#This will create a list of buyers:
buyers = tree.xpath('//div[#title="buyer-name"]/text()')
#This will create a list of prices
prices = tree.xpath('//span[#class="item-price"]/text()')
print('Buyers: ', buyers)
print('Prices: ', prices)
I used this as a reference.
BeautifulSoup has a function named findNext from current element directed childern,so:
father.findNext('div',{'class':'class_value'}).findNext('div',{'id':'id_value'}).findAll('a')
Above code can imitate the following xpath:
div[class=class_value]/div[id=id_value]
from lxml import etree
from bs4 import BeautifulSoup
soup = BeautifulSoup(open('path of your localfile.html'),'html.parser')
dom = etree.HTML(str(soup))
print dom.xpath('//*[#id="BGINP01_S1"]/section/div/font/text()')
Above used the combination of Soup object with lxml and one can extract the value using xpath
when you use lxml all simple:
tree = lxml.html.fromstring(html)
i_need_element = tree.xpath('//a[#class="shared-components"]/#href')
but when use BeautifulSoup BS4 all simple too:
first remove "//" and "#"
second - add star before "="
try this magic:
soup = BeautifulSoup(html, "lxml")
i_need_element = soup.select ('a[class*="shared-components"]')
as you see, this does not support sub-tag, so i remove "/#href" part
I've searched through their docs and it seems there is no XPath option.
Also, as you can see here on a similar question on SO, the OP is asking for a translation from XPath to BeautifulSoup, so my conclusion would be - no, there is no XPath parsing available.
Maybe you can try the following without XPath
from simplified_scrapy.simplified_doc import SimplifiedDoc
html = '''
<html>
<body>
<div>
<h1>Example Domain</h1>
<p>This domain is for use in illustrative examples in documents. You may use this
domain in literature without prior coordination or asking for permission.</p>
<p>More information...</p>
</div>
</body>
</html>
'''
# What XPath can do, so can it
doc = SimplifiedDoc(html)
# The result is the same as doc.getElementByTag('body').getElementByTag('div').getElementByTag('h1').text
print (doc.body.div.h1.text)
print (doc.div.h1.text)
print (doc.h1.text) # Shorter paths will be faster
print (doc.div.getChildren())
print (doc.div.getChildren('p'))
This is a pretty old thread, but there is a work-around solution now, which may not have been in BeautifulSoup at the time.
Here is an example of what I did. I use the "requests" module to read an RSS feed and get its text content in a variable called "rss_text". With that, I run it thru BeautifulSoup, search for the xpath /rss/channel/title, and retrieve its contents. It's not exactly XPath in all its glory (wildcards, multiple paths, etc.), but if you just have a basic path you want to locate, this works.
from bs4 import BeautifulSoup
rss_obj = BeautifulSoup(rss_text, 'xml')
cls.title = rss_obj.rss.channel.title.get_text()
use soup.find(class_='myclass')