What is difference between soup of selenium and requests? - python

I was crawling some information from the web, but there were different results while I'm using Selenium and requests
Selenium
driver.get('https://www.jobplanet.co.kr/companies/322493/benefits/%EC%A7%80%EC%97%90%EC%9D%B4%EC%B9%98%EC%94%A8%EC%A7%80')
soup= BeautifulSoup(driver.page_source, 'html.parser')
sample= soup.find_all('div', class_='accord_hd')`
requests
response= requests.get('https://www.jobplanet.co.kr/companies/322493/benefits/%EC%A7%80%EC%97%90%EC%9D%B4%EC%B9%98%EC%94%A8%EC%A7%80')
soup= BeautifulSoup(response.content, 'html.parser')
sample= soup.find_all('div', class_='accord_hd')`
while using Selenium, it returned an empty list.
but in requests, there was a list with some strings in it.
I experienced sth similar to this before, so I wonder what's going on here

requests will obtain/return the initial html source code.
selenium will simulate/automate the browser to open the web page, which then you can pull the html source that was used to render the page.
The difference between these 2 is requests does not support that rendering/java script if the site is dynamically created. While since selenium actually opens up the browser to display the page, will allow the page to render it's contents before getting the html source.
That's the reason why you may get 2 different responses when using requests versus selenium.
However, in the particular code you have given above, I had the exact same output with using Selenium and using requests
Code:
from bs4 import BeautifulSoup
from selenium import webdriver
import requests
driver = webdriver.Chrome('C:/chromedriver_win32/chromedriver.exe')
driver.get('https://www.jobplanet.co.kr/companies/322493/benefits/%EC%A7%80%EC%97%90%EC%9D%B4%EC%B9%98%EC%94%A8%EC%A7%80')
soup= BeautifulSoup(driver.page_source, 'html.parser')
sample_selenium= soup.find_all('div', class_='accord_hd')
driver.close()
import requests
response = requests.get('https://www.jobplanet.co.kr/companies/322493/benefits/%EC%A7%80%EC%97%90%EC%9D%B4%EC%B9%98%EC%94%A8%EC%A7%80')
soup= BeautifulSoup(response.content, 'html.parser')
sample_requests= soup.find_all('div', class_='accord_hd')
print ('Selenium: %s items\nRequests: %s items' %(len(sample_selenium), len(sample_requests)))
Output:
Selenium: 11 items
Requests: 11 items

Related

Beautiful Soup Link Scraping [duplicate]

I am testing using the requests module to get the content of a webpage. But when I look at the content I see that it does not get the full content of the page.
Here is my code:
import requests
from bs4 import BeautifulSoup
url = "https://shop.nordstrom.com/c/womens-dresses-shop?origin=topnav&cm_sp=Top%20Navigation-_-Women-_-Dresses&offset=11&page=3&top=72"
page = requests.get(url)
soup = BeautifulSoup(page.content, 'html.parser')
print(soup.prettify())
Also on the chrome web-browser if I look at the page source I do not see the full content.
Is there a way to get the full content of the example page that I have provided?
The page is rendered with JavaScript making more requests to fetch additional data. You can fetch the complete page with selenium.
from bs4 import BeautifulSoup
from selenium import webdriver
driver = webdriver.Chrome()
url = "https://shop.nordstrom.com/c/womens-dresses-shop?origin=topnav&cm_sp=Top%20Navigation-_-Women-_-Dresses&offset=11&page=3&top=72"
driver.get(url)
soup = BeautifulSoup(driver.page_source, 'html.parser')
driver.quit()
print(soup.prettify())
For other solutions see my answer to Scraping Google Finance (BeautifulSoup)
Request is different from getting page source or visual elements of the web page, also viewing source from web page doesn't give you full access to everything that is on the web page including database requests and other back-end stuff. Either your question is not clear enough or you've misinterpreted how web browsing works.

How can I get information from a web site using BeautifulSoup in python?

I have to take the publication date displayed in the following web page with BeautifulSoup in python:
https://worldwide.espacenet.com/patent/search/family/054437790/publication/CN105030410A?q=CN105030410
The point is that when I search in the html code from 'inspect' the web page, I find the publication date fast, but when I search in the html code got with python, I cannot find it, even with the functions find() and find_all().
I tried this code:
import requests
from bs4 import BeautifulSoup as bs
r = requests.get('https://worldwide.espacenet.com/patent/search/family/054437790/publication/CN105030410A?q=CN105030410')
soup = bs(r.content)
soup.find_all('span', id_= 'biblio-publication-number-content')
but it gives me [], while in the 'inspect' code of the online page, there is this tag.
What am I doing wrong to have the 'inspect' code that is different from the one I get with BeautifulSoup?
How can I solve this issue and get the number?
The problem I believe is due to the content you are looking for being loaded by JavaScript after the initial page is loaded. requests will only show what the initial page content looked like before the DOM was modified by JavaScript.
For this you might try to install selenium and to then download a Selenium web driver for your specific browser. Install the driver in some directory that is in your path and then (here I am using Chrome):
from selenium import webdriver
from selenium.webdriver.common.by import By
from bs4 import BeautifulSoup as bs
options = webdriver.ChromeOptions()
options.add_experimental_option('excludeSwitches', ['enable-logging'])
driver = webdriver.Chrome(options=options)
try:
driver.get('https://worldwide.espacenet.com/patent/search/family/054437790/publication/CN105030410A?q=CN105030410')
# Wait (for up to 10 seconds) for the element we want to appear:
driver.implicitly_wait(10)
elem = driver.find_element(By.ID, 'biblio-publication-number-content')
# Now we can use soup:
soup = bs(driver.page_source, "html.parser")
print(soup.find("span", {"id": "biblio-publication-number-content"}))
finally:
driver.quit()
Prints:
<span id="biblio-publication-number-content"><span class="search">CN105030410</span>A·2015-11-11</span>
Umberto if you are looking for an html element span use the following code:
import requests
from bs4 import BeautifulSoup as bs
r = requests.get('https://worldwide.espacenet.com/patent/search/family/054437790/publication/CN105030410A?q=CN105030410')
soup = bs(r.content, 'html.parser')
results = soup.find_all('span')
[r for r in results]
if you are looking for an html with the id 'biblio-publication-number-content' use the following code
import requests
from bs4 import BeautifulSoup as bs
r = requests.get('https://worldwide.espacenet.com/patent/search/family/054437790/publication/CN105030410A?q=CN105030410')
soup = bs(r.content, 'html.parser')
soup.find_all(id='biblio-publication-number-content')
in first case you are fetching all span html elements
in second case you are fetching all elements with an id 'biblio-publication-number-content'
I suggest you look into html tags and elements for deeper understanding on how they work and what are the semantics behind them.

Not getting all the information when scraping bet365.com

I am having problem when trying to scrape https://www.bet365.com/ using urllib.request and BeautifulSoup.
The problem is, the code below doesn't get all the information on the page, for example players' names don't appear. Maybe another framework or configuration to extract the information?
My code is:
from bs4 import BeautifulSoup
import urllib.request
url = "https://www.bet365.com/"
try:
page = urllib.request.urlopen(url)
except:
print("An error occured.")
soup = BeautifulSoup(page, 'html.parser')
soup = str(soup)
Looking at the source code for the page in question it looks like essentially all of the data is populated by Javascript. BeautifulSoup isn't a headless client, it's just something that downloads and parses HTML, so anything that's populated with Javascript it can't see. You'd need a headless browser like selenium to scrape something like that.
You need to use selenium instead of requests, along with Beautifulsoup as well.
from selenium import webdriver
url = "https://www.bet365.com"
driver = webdriver.Chrome(executable_path=r"the_path_of_driver")
driver.get(url)
driver.maximize_window() #optional, if you want to maximize the browser
driver.implicitly_wait(60) ##Optional, Wait the loading if error
soup = BeautifulSoup(driver.page_source, 'html.parser') #get the soup

Problem with BS4 printing only certain parts of the web page

I am having a problem with bs4 only finding some things in html. To be specific when I try to print span.nav2__menu-link-main-text it selects it and prints it without a problem but when I try to select other part of the page it probably selects it but It doesnt want to print it out. Here is the code that prints and the code that doesnt print:
Tried using different parsers other than lxml and none worked.
#This one prints
from bs4 import BeautifulSoup
import requests
import lxml
url = 'https://osu.ppy.sh/users/18723891'
res = requests.get(url)
soup = BeautifulSoup(res.text, 'lxml')
for i in soup.select('span.nav2__menu-link-main-text'):
print(i.text)
#This one does not print
from bs4 import BeautifulSoup
import requests
import lxml
url = 'https://osu.ppy.sh/users/https://osu.ppy.sh/users/18723891'
res = requests.get(url)
soup = BeautifulSoup(res.text, 'lxml')
for i in soup.select('div.value-dispaly__value'):
print(i.text)
I expect this program to print the current value of div.value-dispaly__value
but when I start the program it prints nothing even tough I can see the value is 4000 when I inspect the page.
It seems that code you are willing to get is dynamically added to the web page by javascript.
In order to update web js part, you have to use requests render() function.
Website page is javascript request rendering to get data, so you need to use automation library like selenium. download selenium web driver as per your browser requirement.
Download selenium web driver for chrome browser:
http://chromedriver.chromium.org/downloads
Install web driver for chrome browser:
https://christopher.su/2015/selenium-chromedriver-ubuntu/
Selenium tutorial:
https://selenium-python.readthedocs.io/
Replace your code to this:
from selenium import webdriver
from bs4 import BeautifulSoup
import time
driver = webdriver.Chrome('/usr/bin/chromedriver')
driver.get('https://osu.ppy.sh/users/12008062')
time.sleep(3)
soup = BeautifulSoup(driver.page_source, 'lxml')
for i in soup.find_all('div',{"class":"value-display__value"}):
print(i.get_text())
O/P:
#47,514
#108
11d 19h 49m
44
4,000
11d 19h 49m
44
4,000
#47,514
#108
0
0

Web scraping cnbc.com

I am trying to scrape this page with bs4 and I was wondering how can I scrape the EUR/USD, price change, and price % ?
I am pretty new to this, so this is all I have so far:
import requests
from bs4 import BeautifulSoup
url = 'http://www.cnbc.com/pre-markets/'
source_code = requests.get(url).text
soup = BeautifulSoup(source_code, 'lxml')
for r in soup.find_all('td', {'class': 'first text'}):
print(r)
The data you're looking for are probably loaded with javaScript and therefore you can't see them with bs4. But you can do it using an headless browser like PhantomJS, Selenium or Splash. See also this response: scraping dynamic updates of temperature sensor data from a website

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