Need to get the links from a td in rows that has a certain td value.
this is a tr in the table and I want to get the link from the div "Match" if the div "Home team" is of a certain value. There are many rows and I want to find every link that is matching. I have tried this and every time I only get the first row of the table. Here is the link https://wp.nif.no/PageTournamentDetailWithMatches.aspx?tournamentId=403373&seasonId=200937&number=all . Note that I translated some of the values to English in the examples below
homegames = browser.find_elements_by_xpath('//div[#data-title = "Home team"]/a[text()="Cleveland"]//parent::div//parent::td//parent::tr')
for link in homegames:
print(link.find_element_by_xpath('//td[3]/div/a').get_attribute('href'))
<td><div data-title="Date">23.10.2021</div></td>
<td><div data-title="Tid">16:15</div></td>
<td>div data-title="Matchnr">
2121503051
</div>
</td><td><div data-title="Home team">Cleveland</div></td>
<td><div data-title="Away team">
Ohio Travellers</div></td>
<td><div data-title="Court">F21</div></td><td><div data-title="Result">71 - 64</div></td>
<td><div data-title="Referee">John Doe<br>Will Smith<br></div></td></tr>```
The data is within the html source (so no need to use Selenium). But regardless of using Selenium or not, what you can do here is let BeautifulSoup find the specific tags you are after.
Without Selenium, it requires a little manipulation as decode the html.
import requests
from bs4 import BeautifulSoup
import json
import html
keyword = 'Askim'
url = 'https://wp.nif.no/PageTournamentDetailWithMatches.aspx?tournamentId=403373&seasonId=200937&number=all'
response = requests.get(url)
soup = BeautifulSoup(response.text, 'html.parser')
jsonStr = soup.find('div', {'class':'xwp_table_bg'}).find_next('input')['value']
jsonData = json.loads(jsonStr)
links_list = []
for each in jsonData['data']:
#each = jsonData['data'][6]
htmlStr = ''.join(each)
htmlStr = html.unescape(htmlStr)
soup = BeautifulSoup(htmlStr, 'html.parser')
if soup.find('div', {'data-title':'Hjemmelag'}, text=keyword):
link = soup.find('div', {'data-title':'Kampnr'}).find('a')['href']
links_list.append(link)
Related
I want to delete advertisment text from scraped data but after i decompose it i get error saying
list index out of range
I think its becouse after decompose is blank space or somthing. Without decompose loop works ok.
import requests
from bs4 import BeautifulSoup
url = 'https://www.marketbeat.com/insider-trades/ceo-share-buys-and-sales/'
companyName = 'title-area'
r = requests.get(url)
soup = BeautifulSoup(r.content, 'html.parser')
table = soup.find_all('table')[0].tbody.find_all('tr')
# delete advertisment
soup.find("tr", class_="bottom-sort").decompose()
for el in table:
print(el.find_all('td')[0].text)
You can use tag.extract() to delete the tag. Also, delete the tag before you find all <tr> tags:
import requests
from bs4 import BeautifulSoup
url = "https://www.marketbeat.com/insider-trades/ceo-share-buys-and-sales/"
soup = BeautifulSoup(requests.get(url).content, "html.parser")
# delete advertisment
for tr in soup.select("tr.bottom-sort"):
tr.extract()
table = soup.find_all("table")[0].tbody.find_all("tr")
for el in table:
print(el.find_all("td")[0].text)
Prints:
...
TZOOTravelzoo
NEOGNeogen Co.
RKTRocket Companies, Inc.
FINWFinWise Bancorp
WMPNWilliam Penn Bancorporation
There is nothing wrong using decompose() you only have to pay attention to the order in your process:
# first delete advertisment
soup.find("tr", class_="bottom-sort").decompose()
# then select the table rows
table = soup.find_all('table')[0].tbody.find_all('tr')
I am trying to create a script to scrape price data from Udemy courses.
I'm struggling with navigating the HTML tree because the element I'm looking for is located inside multiple nested divs.
here's the structure of the HTML element I'm trying to access:
what I tried:
response = requests.get(url)
print(response)
doc = BeautifulSoup(response.text, "html.parser")
parent_div = doc.find(class_="sidebar-container--purchase-section--17KRp")
print(parent_div.find_all("span"))
and even:
response = requests.get(url)
print(response)
doc = BeautifulSoup(response.text, "html.parser")
main = doc.find(class_="generic-purchase-section--main-cta-container--3xxeM")
title = main.select_one("div span span span")
Here’s the URL: https://www.udemy.com/course/the-complete-web-development-bootcamp/
tried searching all the spans in the HTML and the specific span I'm searching for doesn't appear maybe because it's nested inside a div?
would appreciate a little guidance!
The price is being loaded by JavaScript. So it is not possible to scrape using beautifulsoup.
The data is loaded from an API Endpoint which takes in the course-id of the course.
Course-id of this course: 1565838
You can directly get the info from that endpoint like this.
import requests
course_id = '1565838'
url= f'https://www.udemy.com/api-2.0/course-landing-components/{course_id}/me/?components=price_text'
response = requests.get(url)
x = response.json()
print(x['price_text']['data']['pricing_result']['price'])
{'amount': 455.0, 'currency': 'INR', 'price_string': '₹455', 'currency_symbol': '₹'}
I tried your first approach several times and it works more-or-less for me, although it has returned a different number of span elements on different attempts (10 is the usual number but I have seen as few as 1 on one occasion):
import requests
from bs4 import BeautifulSoup
url = 'https://www.udemy.com/course/the-complete-web-development-bootcamp/'
response = requests.get(url)
doc = BeautifulSoup(response.text, "html.parser")
parent_div = doc.find(class_="sidebar-container--purchase-section--17KRp")
spans = parent_div.find_all("span")
print(len(spans))
for span in spans:
print(span)
Prints:
10
<span data-checked="checked" data-name="u872-accordion--3" data-type="radio" id="u872-accordion-panel--4" style="display:none"></span>
<span class="purchase-options--option-radio--1zjJ_ udlite-fake-toggle-input udlite-fake-toggle-radio udlite-fake-toggle-radio-small"></span>
<span class="udlite-accordion-panel-title">Subscribe</span>
<span>Try it free for 7 days</span>
<span class="udlite-text-xs purchase-section-container--cta-subscript--349MH">$29.99 per month after trial</span>
<span class="purchase-section-container--line--159eG"></span>
<span data-checked="" data-name="u872-accordion--3" data-type="radio" id="u872-accordion-panel--6" style="display:none"></span>
<span class="purchase-options--option-radio--1zjJ_ udlite-fake-toggle-input udlite-fake-toggle-radio udlite-fake-toggle-radio-small"></span>
<span class="udlite-accordion-panel-title">Buy Course</span>
<span class="money-back">30-Day Money-Back Guarantee</span>
As afar as your second approach goes, your main div does not have that many nested span elements, so it is bound to fail. Try just one span element:
import requests
from bs4 import BeautifulSoup
url = 'https://www.udemy.com/course/the-complete-web-development-bootcamp/'
response = requests.get(url)
doc = BeautifulSoup(response.text, "html.parser")
main = doc.find(class_="generic-purchase-section--main-cta-container--3xxeM")
title = main.select_one("div span")
print(title)
Prints:
<span class="money-back">30-Day Money-Back Guarantee</span>
import requests
from bs4 import BeautifulSoup
results = requests.get("https://en.wikipedia.org/wiki/List_of_multiple_Olympic_gold_medalists")
src = results.content
soup = BeautifulSoup(src, 'lxml')
trs = soup.find_all("tr")
for tr in trs:
print(tr.text)
This is the code I write for the scraping table from the page "https://en.wikipedia.org/wiki/List_of_multiple_Olympic_gold_medalists"
If I am only targeting the table in the session "List of most Olympic gold medals over career", how can I specify the table I need? There are 2 sortable jquery-tablesorter so I cannot use the class attribute to select the table I needed.
One more question, if I know that the page I am scraping contains a lot of tables and the one I need always have 10 td in 1 row, can I have something like
If len(td) == 10:
print(tr)
to extract the data I wanted
Update on code:
from bs4 import BeautifulSoup
results = requests.get("https://en.wikipedia.org/wiki/List_of_multiple_Olympic_gold_medalists")
src = results.content
soup = BeautifulSoup(src, 'lxml')
tbs = soup.find("tbody")
trs = tbs.find_all("tr")
for tr in trs:
print(tr.text)
I have one of the solution, not a good one, just to extract the first table from the page which is the one I needed, any suggestion/ improvement are welcomed!
Thank you.
To only get the first table you can use a CSS Selector nth-of-type(1):
import requests
from bs4 import BeautifulSoup
URL = "https://en.wikipedia.org/wiki/List_of_multiple_Olympic_gold_medalists"
soup = BeautifulSoup(requests.get(URL).content, "html.parser")
table = soup.select_one("table.wikitable:nth-of-type(1)")
trs = table.find_all("tr")
for tr in trs:
print(tr.text)
I want to extract text from th tags in a table so I can print a list of metro stations from a table in a Wikipedia page. I only need text from a certain table (there are two of them in the page)
import urllib.request
url = "https://en.wikipedia.org/wiki/List_of_London_Underground_stations"
page = urllib.request.urlopen(url)
from bs4 import BeautifulSoup
soup = BeautifulSoup(page, "lxml")
stations_table = soup.find("table", class_= "wikitable sortable plainrowheaders")
stations_table
for i in soup.find_all('th', stations_table):
print(i.text)
I can get the table stored in the stations_table variable but cannot print the text in th tags within the wikitable sortable plainrowheaders table. While it does print the station name, it also prints the headers:
Station
Local authority
Zone(s)[†]
Opened[4]
Main lineopened
Usage[5]
How can I filter those out?
It shows all th in table - not only stations but also headers like Stations, Lines
To skip it I search all tr, skip first row and then I search th in every row
for i in stations_table.find_all('tr')[1:]
print(i.find('th').text.strip())
Full code
import urllib.request
from bs4 import BeautifulSoup
url = "https://en.wikipedia.org/wiki/List_of_London_Underground_stations"
page = urllib.request.urlopen(url)
soup = BeautifulSoup(page, "html.parser")
stations_table = soup.find("table", class_= "wikitable sortable plainrowheaders")
for i in stations_table.find_all('tr')[1:]:
print(i.find('th').text.strip())
#print(i.th.text.strip())
for i in soup.find_all('th', stations_table):
searches for all the table headings and the table rows. What can be done for this, is to extract all the rows and start printing from the second row (ignoring the title's row) as below
for i in stations_table.find_all('tr')[1:]:
print(i.find('th').text)
I am trying to scrape the bitcoin price off of coinbase and cannot find the proper syntax. When I run the program (without the line with question marks) I get the block of html that I need, but I don't know how to narrow down and retrieve the price itself. Any help appreciated, thanks.
import requests
from bs4 import BeautifulSoup
url = 'https://www.coinbase.com/charts'
data = requests.get(url)
nicedata = data.text
soup = BeautifulSoup(nicedata, 'html.parser')
prettysoup = soup.prettify()
bitcoin = soup.find('h4', {'class':
'Header__StyledHeader-sc-1q6y56a-0 hZxUBM
TextElement__Spacer-sc-18l8wi5-0 hpeTzd'})
price = bitcoin.find('???')
print(price)
The attached image contains the html
To get text from item:
price = bitcoin.text
But this page has many items <h4> with this class but find() gets only first one and it has text Bitcoin, not price from your image. You may need find_all() to get list with all items and then you can use index [index] or slicing [start:end] to get some items, or you can use for-loop to work with every item on list.
import requests
from bs4 import BeautifulSoup
url = 'https://www.coinbase.com/charts'
r = requests.get(url)
soup = BeautifulSoup(r.text, 'html.parser')
all_h4 = soup.find_all('h4', {'class': 'Header__StyledHeader-sc-1q6y56a-0 hZxUBM TextElement__Spacer-sc-18l8wi5-0 hpeTzd'})
for h4 in all_h4:
print(h4.text)
It can be easier to work with data if you keep it in list of list or array or DataFrame. But to create list of lists it would be easier to find rows <tr> and inside every row search <h4>
import requests
from bs4 import BeautifulSoup
url = 'https://www.coinbase.com/charts'
r = requests.get(url, headers=headers)
soup = BeautifulSoup(r.text, 'html.parser')
all_tr = soup.find_all('tr')
data = []
for tr in all_tr:
row = []
for h4 in tr.find_all('h4'):
row.append(h4.text)
if row: # skip empty row
data.append(row)
for row in data:
print(row)
It doesn't need class to get all h4.
BTW: This page uses JavaScript to append new rows when you scroll page but requests and BeautifulSoup can't run JavaScript - so if you will need all rows then you may need Selenium to control web browser which runs JavaScript