I am trying to create a list of all football teams/links from any one of a number of tables within the base URL: https://fbref.com/en/comps/10/stats/Championship-Stats
I would then use the link from the href to scrape each individual team's data. The href is embedded within the th tag as per below
th scope="row" class="left " data-stat="squad">Barnsley</th
a href="/en/squads/293cb36b/Barnsley-Stats">Barnsley</a
The following code gives me a list of the 'a' tags
page = "https://fbref.com/en/comps/10/Championship-Stats"
pageTree = requests.get(page)
pageSoup = BeautifulSoup(pageTree.content, 'html.parser')
Teams = pageSoup.find_all("th", {"class": "left"})
Output(for each class of 'left'):
th class="left" data-stat="squad" scope="row">
a href="/en/squads/293cb36b/Barnsley-Stats">Barnsley,
I have tried the guidance from a previous Stack question (Extract links after th in beautifulsoup)
However, the following code based on that thread produces errors
AttributeError: 'NoneType' object has no attribute 'find_parent'
def import_TeamList():
BASE_URL = "https://fbref.com/en/comps/10/Championship-Stats"
r = requests.get(BASE_URL)
soup = BeautifulSoup(r.text, 'lxml')
team_list = []
team_tr = soup.find('a', {'data-stat': 'squad'}).find_parent('tr')
for tr in reels_tr.find_next_siblings('tr'):
if tr.find('a').text != 'squad':
break
midi_list.append(BASE_URL + tr.find('a')['href'])
return TeamList
Here is a version using CSS selectors, which I find simpler than most other methods.
import requests
from bs4 import BeautifulSoup
url = 'https://fbref.com/en/comps/10/stats/Championship-Stats'
data = requests.get(url).text
soup = BeautifulSoup(data)
links = BeautifulSoup(data).select('th a')
urls = [link['href'] for link in links]
print(urls)
Is this what you're looking for?
import requests
from bs4 import BeautifulSoup as BS
from lxml import etree
with requests.Session() as session:
r = session.get('https://fbref.com/en/comps/10/stats/Championship-Stats')
r.raise_for_status()
dom = etree.HTML(str(BS(r.text, 'lxml')))
for a in dom.xpath('//th[#class="left"]/a'):
print(a.attrib['href'])
I am trying to learn python by creating a small websraping program to make life easier, although I am having issues with only getting number when using BS4. I was able to get the price when I scraped an actual ad, but I would like to get all the prices from the page.
Here is my code:
from bs4 import BeautifulSoup
import requests
prices = []
url = 'https://www.kijiji.ca/b-cars-trucks/calgary/new__used/c174l1700199a49?ll=51.044733%2C-114.071883&address=Calgary%2C+AB&radius=50.0'
result = requests.get(url)
print (result.status_code)
src = result.content
soup = BeautifulSoup(src, 'html.parser')
print ("CLEARING")
price = soup.findAll("div", class_="price")
prices.append(price)
print (prices)
Here is my output
[<div class="price">
$46,999.00
<div class="dealer-logo">
<div class="dealer-logo-image">
<img src="https://i.ebayimg.com/00/s/NjBYMTIw/z/xMQAAOSwi9ZfoW7r/$_69.PNG"/>
</div>
</div>
</div>
Ideally, I would only want the output to be "46,999.00".
I tried with text=True, although this did not work and I would not get any output from it besides an empty list.
Thank you
You need to get the text portion of tag and then perform some regex processing on it.
import re
def get_price_from_div(div_item):
str_price = re.sub('[^0-9\.]','', div_item.text)
float_price = float(str_price)
return float_price
Just call this method in your code after you find the divs
from bs4 import BeautifulSoup
import requests
prices = []
url = 'https://www.kijiji.ca/b-cars-trucks/calgary/new__used/c174l1700199a49?ll=51.044733%2C-114.071883&address=Calgary%2C+AB&radius=50.0'
result = requests.get(url)
print (result.status_code)
src = result.content
soup = BeautifulSoup(src, 'html.parser')
print ("CLEARING")
price = soup.findAll("div", class_="price")
prices.extend([get_price_from_div(curr_div) for curr_div in price])
print (prices)
An option without using RegEx, is to filter out tags that startwith() a dollar sign $:
import requests
from bs4 import BeautifulSoup
URL = 'https://www.kijiji.ca/b-cars-trucks/calgary/new__used/c174l1700199a49?ll=51.044733%2C-114.071883&address=Calgary%2C+AB&radius=50.0'
soup = BeautifulSoup(requests.get(URL).content, "html.parser")
price_tags = soup.find_all("div", class_="price")
prices = [
tag.get_text(strip=True)[1:] for tag in price_tags
if tag.get_text(strip=True).startswith('$')
]
print(prices)
Output:
['48,888.00', '21,999.00', '44,488.00', '5,500.00', '33,000.00', '14,900.00', '1,750.00', '35,600.00', '1,800.00', '25,888.00', '36,888.00', '32,888.00', '30,888.00', '18,888.00', '21,888.00', '29,888.00', '22,888.00', '30,888.00', '17,888.00', '17,888.00', '16,888.00', '22,888.00', '22,888.00', '34,888.00', '31,888.00', '32,888.00', '30,888.00', '21,888.00', '15,888.00', '21,888.00', '28,888.00', '19,888.00', '18,888.00', '30,995.00', '30,995.00', '30,995.00', '19,888.00', '47,995.00', '21,888.00', '46,995.00', '32,888.00', '29,888.00', '26,888.00', '21,888.00']
import requests
from bs4 import BeautifulSoup
r = requests.get("https://gaana.com/playlist/gaana-dj-hindi-top-50-1")
soup = BeautifulSoup(r.text, "html.parser")
result = soup.find("div", {"class": "s_c"})
print(result.class)
From the above code, I am able to scrape this data
https://www.pastiebin.com/5f08080b8db82
Now I would like to scrape only the title of the songs and then make a list out of them like the below:
Meri Aashiqui
Genda Phool
Any suggestions are much appreciated!
Try this :
import requests
from bs4 import BeautifulSoup
r = requests.get("https://gaana.com/playlist/gaana-dj-hindi-top-50-1")
soup = BeautifulSoup(r.text, "html.parser")
result = soup.find("div", {"class": "s_c"})
#print(result)
div = result.find_all('div', class_='track_npqitemdetail')
name_list = []
for x in div:
span = x.find('span').text
name_list.append(span)
print(name_list)
this code will return all song name in name_list list.
Hey guess so I got as far as being able to add the a class to a list. The problem is I just want the href link to be added to the links_with_text list and not the entire a class. What am I doing wrong?
from bs4 import BeautifulSoup
from requests import get
import requests
URL = "https://news.ycombinator.com"
page = requests.get(URL)
soup = BeautifulSoup(page.content, 'html.parser')
results = soup.find(id = 'hnmain')
articles = results.find_all(class_="title")
links_with_text = []
for article in articles:
link = article.find('a', href=True)
links_with_text.append(link)
print('\n'.join(map(str, links_with_text)))
This prints exactly how I want the list to print but I just want the href from every a class not the entire a class. Thank you
To get all links from the https://news.ycombinator.com, you can use CSS selector 'a.storylink'.
For example:
from bs4 import BeautifulSoup
from requests import get
import requests
URL = "https://news.ycombinator.com"
page = requests.get(URL)
soup = BeautifulSoup(page.content, 'html.parser')
links_with_text = []
for a in soup.select('a.storylink'): # <-- find all <a> with class="storylink"
links_with_text.append(a['href']) # <-- note the ['href']
print(*links_with_text, sep='\n')
Prints:
https://blog.mozilla.org/futurereleases/2020/06/18/introducing-firefox-private-network-vpns-official-product-the-mozilla-vpn/
https://mxb.dev/blog/the-return-of-the-90s-web/
https://github.blog/2020-06-18-introducing-github-super-linter-one-linter-to-rule-them-all/
https://www.sciencemag.org/news/2018/11/why-536-was-worst-year-be-alive
https://www.strongtowns.org/journal/2020/6/16/do-the-math-small-projects
https://devblogs.nvidia.com/announcing-cuda-on-windows-subsystem-for-linux-2/
https://lwn.net/SubscriberLink/822568/61d29096a4012e06/
https://imil.net/blog/posts/2020/fakecracker-netbsd-as-a-function-based-microvm/
https://jepsen.io/consistency
https://tumblr.beesbuzz.biz/post/621010836277837824/advice-to-young-web-developers
https://archive.org/search.php?query=subject%3A%22The+Navy+Electricity+and+Electronics+Training+Series%22&sort=publicdate
https://googleprojectzero.blogspot.com/2020/06/ff-sandbox-escape-cve-2020-12388.html?m=1
https://apnews.com/1da061ce00eb531291b143ace0eed1c9
https://support.apple.com/library/content/dam/edam/applecare/images/en_US/appleid/android-apple-music-account-payment-none.jpg
https://standpointmag.co.uk/issues/may-june-2020/the-healing-power-of-birdsong/
https://steveblank.com/2020/06/18/the-coming-chip-wars-of-the-21st-century/
https://www.videolan.org/security/sb-vlc3011.html
https://onesignal.com/careers/2023b71d-2f44-4934-a33c-647855816903
https://www.bbc.com/news/world-europe-53006790
https://github.com/efficient/HOPE
https://everytwoyears.org/
https://www.historytoday.com/archive/natural-histories/intelligence-earthworms
https://cr.yp.to/2005-590/powerpc-cwg.pdf
https://quantum.country/
http://www.crystallography.net/cod/
https://parkinsonsnewstoday.com/2020/06/17/tiny-magnetically-powered-implant-may-be-future-of-deep-brain-stimulation/
https://spark.apache.org/releases/spark-release-3-0-0.html
https://arxiv.org/abs/1712.09624
https://www.washingtonpost.com/technology/2020/06/18/data-privacy-law-sherrod-brown/
https://blog.chromium.org/2020/06/improving-chromiums-browser.html
Again I am having trouble scraping href's in BeautifulSoup. I have a list of pages that I am scraping and I have the data but I can't seem to get the hrefs even when I use various codes that work in other scripts.
So here is the code and my data will be below that:
import requests
from bs4 import BeautifulSoup
with open('states_names.csv', 'r') as reader:
states = [states.strip().replace(' ', '-') for states in reader]
url = 'https://www.hauntedplaces.org/state/alabama'
for state in states:
page = requests.get(url+state)
soup = BeautifulSoup(page.text, 'html.parser')
links = soup.findAll('div', class_='description')
# When I try to add .get('href') I get a traceback error. Am I trying to scrape the href too early?
h_page = soup.findAll('h3')
<h3>Gaines Ridge Dinner Club</h3>
<h3>Purifoy-Lipscomb House</h3>
<h3>Kate Shepard House Bed and Breakfast</h3>
<h3>Cedarhurst Mansion</h3>
<h3>Crybaby Bridge</h3>
<h3>Gaineswood Plantation</h3>
<h3>Mountain View Hospital</h3>
This works perfectly:
from bs4 import BeautifulSoup
import requests
url = 'https://www.hauntedplaces.org/state/Alabama'
r = requests.get(url)
soup = BeautifulSoup(r.text, 'lxml')
for link in soup.select('div.description a'):
print(link['href'])
Try that:
soup = BeautifulSoup(page.content, 'html.parser')
list0 = []
possible_links = soup.find_all('a')
for link in possible_links:
if link.has_attr('href'):
print (link.attrs['href'])
list0.append(link.attrs['href'])
print(list0)