https://imgur.com/a/JcTnbiw
how do I retrieve the highlighted text with beautifulsoup?
a example would be the best answer, thank you ;)
edit; heres the code
import requests
import pyperclip
from bs4 import BeautifulSoup
import time
url = 'https://sales.elhst.co/'
headers = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/84.0.4147.125 Safari/537.36"}
site = requests.get(url, headers=headers)
site = str(site)
if site == "<Response [200]>":
print("Site is up..")
page = requests.get(url, headers=headers)
soup = BeautifulSoup(page.content, 'html.parser')
time.sleep(2)
target = soup.find("pp", id="copies")
print(target)
and the output is:
Site is up..
<pp id="copies"></pp>
and i wanna to get this text:
https://imgur.com/a/JcTnbiw
is there any way to do it?
The data you see on the page is loaded from external URL. You can try this script to print number of copies:
import re
import json
import requests
url = 'https://sales.elhst.co/socket.io/?EIO=3&transport=polling'
copies_url = 'https://sales.elhst.co/socket.io/?EIO=3&transport=polling&sid={sid}'
r = requests.get(url).text
sid = json.loads(re.search(r'(\{".*)', r).group(1))['sid']
r = requests.get(copies_url.format(sid=sid)).text
copies = json.loads(re.search(r'(\[".*)', r).group(1))[-1]
print(copies)
Prints:
0
from lxml import html
import requests
page = requests.get('http://url')
tree = html.fromstring(page.content)
#This will extract the text you need
buyers = tree.xpath('//pp[#id="copies"]/text()')
It should work. But I don't know pp tag. I think it's a mistake and there should be tag <p>.
More info about lxml here.
Related
This code works and returns the single digit number that i want but its so slow and takes good 10 seconds to complete.I will be running this 4 times for my use so thats 40 seconds wasted every run.
` from selenium import webdriver
from bs4 import BeautifulSoup
options = webdriver.FirefoxOptions()
options.add_argument('--headless')
driver = webdriver.Firefox(options=options)
driver.get('https://warframe.market/items/ivara_prime_blueprint')
html = driver.page_source
soup = BeautifulSoup(html, 'html.parser')
price_element = soup.find('div', {'class': 'row order-row--Alcph'})
price2=price_element.find('div',{'class':'order-row__price--hn3HU'})
price = price2.text
print(int(price))
driver.close()`
This code on the other hand does not work. It returns None.
` import requests
from bs4 import BeautifulSoup
url='https://warframe.market/items/ivara_prime_blueprint'
headers = {'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/39.0.2171.95 Safari/537.36'}
response = requests.get(url, headers=headers)
soup = BeautifulSoup(response.text, 'html.parser')
price_element=soup.find('div', {'class': 'row order-row--Alcph'})
price2=price_element.find('div',{'class':'order-row__price--hn3HU'})
price = price2.text
print(int(price))`
First thought was to add user agent but still did not work. When I print(soup) it gives me html code but when i parse it further it stops and starts giving me None even tho its the same command like in selenium example.
The data is loaded dynamically within a <script> tag so Beautifulsoup doesn't see it (it doesn't render Javascript).
As an example, to get the data, you can use:
import json
import requests
from bs4 import BeautifulSoup
url = "https://warframe.market/items/ivara_prime_blueprint"
headers = {
"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/39.0.2171.95 Safari/537.36"
}
response = requests.get(url, headers=headers)
soup = BeautifulSoup(response.text, "html.parser")
script_tag = soup.select_one("#application-state")
json_data = json.loads(script_tag.string)
# Uncomment the line below to see all the data
# from pprint import pprint
# pprint(json_data)
for data in json_data["payload"]["orders"]:
print(data["user"]["ingame_name"])
Prints:
Rogue_Monarch
Rappei
KentKoes
Tenno61189
spinifer14
Andyfr0nt
hollowberzinho
You can access the data as a dict and acess the keys/values.
I'd recommend an online tool to view all the JSON since it's quite large.
See also
Parsing out specific values from JSON object in BeautifulSoup
I tried to scrape a certain information from a webpage but failed miserably. The text I wish to grab is available in the page source but I still can't fetch it. This is the site address. I'm after the portion visible in the image as Not Rated.
Relevant html:
<div class="subtext">
Not Rated
<span class="ghost">|</span> <time datetime="PT188M">
3h 8min
</time>
<span class="ghost">|</span>
Drama,
Musical,
Romance
<span class="ghost">|</span>
<a href="/title/tt0150992/releaseinfo?ref_=tt_ov_inf" title="See more release dates">18 June 1999 (India)
</a> </div>
I've tried with:
import requests
from bs4 import BeautifulSoup
link = "https://www.imdb.com/title/tt0150992/?ref_=ttfc_fc_tt"
with requests.Session() as s:
s.headers['User-Agent'] = "Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/84.0.4147.89 Safari/537.36"
r = s.get(link)
soup = BeautifulSoup(r.text,"lxml")
rating = soup.select_one(".titleBar .subtext").next_element
print(rating)
I get None using the script above.
Expected output:
Not Rated
How can I get the rating from that webpage?
If you want to get correct version of HTML page, specify Accept-Language http header:
import requests
from bs4 import BeautifulSoup
link = "https://www.imdb.com/title/tt0150992/?ref_=ttfc_fc_tt"
with requests.Session() as s:
s.headers['User-Agent'] = "Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/84.0.4147.89 Safari/537.36"
s.headers['Accept-Language'] = 'en-US,en;q=0.5' # <-- specify also this!
r = s.get(link)
soup = BeautifulSoup(r.text,"lxml")
rating = soup.select_one(".titleBar .subtext").next_element
print(rating)
Prints:
Not Rated
There is a better way to getting info on the page. If you dump the html content returned by the request.
import requests
from bs4 import BeautifulSoup
link = "https://www.imdb.com/title/tt0150992/?ref_=ttfc_fc_tt"
with requests.Session() as s:
s.headers['User-Agent'] = "Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/84.0.4147.89 Safari/537.36"
r = s.get(link)
soup = BeautifulSoup(r.text,"lxml")
with open("response.html", "w", encoding=r.encoding) as file:
file.write(r.text)
you will find a element <script type="application/ld+json"> which contains all the information about the movie.
Then, you simply get the element text, parse it as json, and use the json to extract the info you wanted.
here is a working example
import json
import requests
from bs4 import BeautifulSoup
link = "https://www.imdb.com/title/tt0150992/?ref_=ttfc_fc_tt"
with requests.Session() as s:
s.headers['User-Agent'] = "Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/84.0.4147.89 Safari/537.36"
r = s.get(link)
soup = BeautifulSoup(r.text,"lxml")
movie_data = soup.find("script", attrs={"type": "application/ld+json"}).next # Find the element <script type="application/ld+json"> and get it's content
movie_data = json.loads(movie_data) # parse the data to json
content_rating = movie_data["contentRating"] # get rating
IMDB is one of those webpages that makes it incredible easy to do webscraping and I love it. So what they do to make it easy for webscrapers is to put a script in the top of the html that contains the whole movie object in the format of JSON.
So to get all the relevant information and organize it you simply need to get the content of that single script tag, and convert it to JSON, then you can simply ask for the specific information like with a dictionary.
import requests
import json
from bs4 import BeautifulSoup
#This part is basically the same as yours
link = "https://www.imdb.com/title/tt0150992/?ref_=ttfc_fc_tt"
r = requests.get(link)
soup = BeautifulSoup(r.content,"lxml")
#Why not get the whole json element of the movie?
script = soup.find('script', {"type" : "application/ld+json"})
element = json.loads(script.text)
print(element['contentRating'])
#Outputs "Not Rated"
# You can also inspect te rest of the json it has all the relevant information inside
#Just -> print(json.dumps(element, indent=2))
Note:
Headers and session are not necessary in this example.
How can I scrape latitude and longitude from the google results in the image below using beautiful soup.
Google result latitude longitude
Here is the code for do it with bs4:
from requests import get
from bs4 import BeautifulSoup
headers = {'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/39.0.2171.95 Safari/537.36',}
response = get("https://www.google.com/search?q=latitude+longitude+of+75270+postal+code+paris+france",headers=headers)
soup = BeautifulSoup(response.text, 'html.parser')
a = soup.find("div", class_= "Z0LcW").text
print(a)
Please provide more input on further questions since we don't want to do the pre-work to create a solution.
You will have to grab this container:
<div class="HwtpBd gsrt PZPZlf" data-attrid="kc:/location/location:coordinates" aria-level="3" role="heading"><div class="Z0LcW XcVN5d">48.8573° N, 2.3370° E</div><div></div></div>
BS4
#BeautifoulSoup Stuff
import requests
from requests.packages.urllib3.util.retry import Retry
from bs4 import BeautifulSoup
import re
# Make the request
url = "https://www.google.com/search?q=latitude+longitude+of+75270+postal+code+paris+france&rlz=1C1CHBF_deDE740DE740&oq=latitude+longitude+of+75270+postal+code+paris+france&aqs=chrome..69i57.4020j0j8&sourceid=chrome&ie=UTF-8"
response = requests.get(url)
# Convert it to proper html
html = response.text
# Parse it in html document
soup = BeautifulSoup(html, 'html.parser')
# Grab the container and its content
target_container = soup.find("div", {"class": "Z0LcW XcVN5d"}).text
Then you have a string inside the div returned.
..Assuming google doesn't change the class declarations randomly. I tried five refreshes and the classname didn't change, but who knows.
Make sure you're using user-agent (you can also use python fake user-agents library)
Code and replit.com that grabs location from Google Search results:
from bs4 import BeautifulSoup
import requests
headers = {
'User-agent':
"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.102 Safari/537.36 Edge/18.19582"
}
html = requests.get('https://www.google.com/search?q=latitude longitude of 75270 postal code paris france',
headers=headers).text
soup = BeautifulSoup(html, 'lxml')
location = soup.select_one('.XcVN5d').text
print(location)
Output:
48.8573° N, 2.3370° E
I'm trying to write a program, that downloads the most upvoted picture from a subreddit, but for some reason the BeautifulSoup does not find all the links on a website, I know I could try it with other methods but I'm curious why isn't it finding all the link every time.
Here is the code as well.
from PIL import Image
import requests
from bs4 import BeautifulSoup
url = 'https://www.reddit.com/r/wallpaper/top/'
result = requests.get(url)
soup = BeautifulSoup(result.text,'html.parser')
for link in soup.find_all('a'):
print (link.get('href'))
Site is loaded with JavaScript, bs4 will not be able to render JavaScript therefor, I've been able to locate the data within script tag.
import requests
import re
import json
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:74.0) Gecko/20100101 Firefox/74.0'
}
def main(url):
r = requests.get(url, headers=headers)
match = re.search(r"window.___r = ({.+})", r.text).group(1)
data = json.loads(match)
# print(data.keys())
# humanreadable = json.dumps(data, indent=4)
main("https://www.reddit.com/r/wallpaper/top/")
Shorter version:
match = re.finditer(r'permalink":"(.+?)"', r.text)
for item in match:
print(item.group(1))
Output:
https://www.reddit.com/r/wallpaper/comments/fv9ubr/khyber_pakhtunkhwa_pakistan_balakot_1920x1024/
https://www.reddit.com/user/wsopgame/comments/fvbxom/join_the_official_wsop_online_poker_game_and/
https://www.reddit.com/user/wsopgame/comments/fvbxom/join_the_official_wsop_online_poker_game_and/?instanceId=t3_p%3DgAAAAABeiiTtw4FM0zBerf9DDiq5tmonjJbAwzQb_UwA-VHlw2J8zUxw-y6Doa6j-jPP0qt05lRZfyReQwnLH9pN6wdSBBvqhgxgRS3uKyKCRvkk6WNwns5wpad0ijMgHwqVnZSGMT0KWP4WB15zBNkb3j96ifm23pT4uACb6cpNVh-TE05GiTtDnD9UUMir02Z7hOr0x4f_wLJEIplafXRp2yiAFPh5VzH_4VSsPx9zV7v3IJwN5ctYLfIcdCW5Z3W-z3bbOVUCU2HqqRAoh0XEj0LrgdicMexa9fzPbtWOshfx3kIazwFhYXoSowPBRZUquSs9zEaQwP1B-wg951edNb7RSjYTrDpQ75zsMfIkasKvAOH-V58%3D
https://www.reddit.com/r/wallpaper/comments/fv6wew/lone_road_in_nowhere_arizona_1920x1080/
https://www.reddit.com/r/wallpaper/comments/fvaqaa/the_hobbit_house_1920_x_1080/
https://www.reddit.com/r/wallpaper/comments/fvcs4j/something_i_made_in_illustrator_5120_2880/
https://www.reddit.com/r/wallpaper/comments/fv09u2/bath_time_in_rocky_mountain_national_park_1280x720/
https://www.reddit.com/r/wallpaper/comments/fuyomz/up_is_still_my_favorite_film_grandpa_carl_cams/
https://www.reddit.com/r/wallpaper/comments/fvagex/beautiful_and_colorful_nature_wallpaper_1920x1080/
https://www.reddit.com/r/wallpaper/comments/fv3nnn/maroon_bells_co_photo_credit_to/
https://www.reddit.com/r/wallpaper/comments/fuyg0z/volcano_lightening_19201080/
https://www.reddit.com/r/wallpaper/comments/fvgohk/doctor_strange1920x1080/
https://www.reddit.com/user/redditads/comments/ezogdp/reach_your_audience_on_reddit/
https://www.reddit.com/user/redditads/comments/ezogdp/reach_your_audience_on_reddit/?instanceId=t3_p%3DgAAAAABeiiTt9isPY03zwoimtzcC7w3uLzUDCuoD5cU6ekeEYt48cRAqoMsc1ZDBJ6OeK1U3Bs2Zo1ZSWzdQ4DOux21vGvWzJkxNWQ14XzDWag_GlrE-t_4rpFA_73kW94xGUQchsXL7f4VkbbHIyn8SMlUlTtt3j3lJCViwINOQgIF3p5N8Q4ri-swtJC-JyEUYa4dJazlZ9xLYyOHSvMkiR3k9lDx0NEKqpqfbQ9__f3xLUzgS4yF4OngMDFUVFa5nyH3I32mkP3KezXLxOR6H8CSGI_jqRA4dBV-AnHLuzPlgENRpfaMhWJ04vTEOjmG4sm4xs65OZCumqNstzlDEvR7ryFwL6LeH02a9E3czck5jfKY7HXQ%3D
https://www.reddit.com/r/wallpaper/comments/fuzjza/ghost_cloud_1280x720/
https://www.reddit.com/r/wallpaper/comments/fvg88o/park_autumn_tress_wallpaper_1920x1080/
https://www.reddit.com/r/wallpaper/comments/fv47r8/audi_quattro_s1_3840x2160_fh4/
https://www.reddit.com/r/wallpaper/comments/fuybjs/spacecrafts_1920_x_1080/
https://www.reddit.com/r/wallpaper/comments/fv043i/dragonfly_1280x720/
https://www.reddit.com/r/wallpaper/comments/fv06ud/muskrat_swim_1280x720/
https://www.reddit.com/r/wallpaper/comments/fvdafk/natural_beauty_1920x1080/
https://www.reddit.com/r/wallpaper/comments/fvbnuc/cigar_man_19201080/
https://www.reddit.com/r/wallpaper/comments/fvcww4/thunder_road_3840_x_2160/
https://www.reddit.com/user/redditads/comments/7w17su/interested_in_gaining_a_new_perspective_on_things/
https://www.reddit.com/user/redditads/comments/7w17su/interested_in_gaining_a_new_perspective_on_things/?instanceId=t3_p%3DgAAAAABeiiTtxVzGp9KwvtRNa1pOVCgz2IBkTGRxqdyXk4WTsjAkWS9wzyDVF_1aSOz36HqHOVrngfj3z_9O1cAkzz-0fwhxyJ_8jePT3F88mrveLChf_YRIbAtxb-Ln_OaeeXUnyrFVl-OPN7cqXvtgh3LoymBx3doL-bEVnECOWkcSXvUIwpMn-flVZ5uNcGL1nKEiszUcORqq1oQ32BnrmWHomrDb3Q%3D%3D
https://www.reddit.com/r/wallpaper/comments/fv3xqs/social_distancing_log_1920x1080/
https://www.reddit.com/r/wallpaper/comments/fvbcpl/neon_city_wallpaper_19201080/
https://www.reddit.com/r/wallpaper/comments/fvbhdb/sunrise_wallpaper_19201080/
https://www.reddit.com/r/wallpaper/comments/fv2eno/second_heavy_bike_in_ghost_recon_breakpoint/
The question asked is very simple, but for me, it doesn't work and I don't know!
I want to scrape the rating beer from this page https://www.brewersfriend.com/homebrew/recipe/view/16367/southern-tier-pumking-clone with BeautifulSoup, but it doesn't work.
This is my code:
import requests
import bs4
from bs4 import BeautifulSoup
url = 'https://www.brewersfriend.com/homebrew/recipe/view/16367/southern-tier-pumking-clone'
test_html = requests.get(url).text
soup = BeautifulSoup(test_html, "lxml")
rating = soup.findAll("span", class_="ratingValue")
rating
When I finish, it doesn't work, but if I do the same thing with another page is work... I don't know. Someone can help me? The result of rating is 4.58
Thanks everybody!
If you print the test_html, you'll find you get a 403 forbidden response.
You should add a header (at least a user-agent : ) ) to your GET request.
import requests
from bs4 import BeautifulSoup
headers = {
'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/74.0.3729.108 Safari/537.36'
}
url = 'https://www.brewersfriend.com/homebrew/recipe/view/16367/southern-tier-pumking-clone'
test_html = requests.get(url, headers=headers).text
soup = BeautifulSoup(test_html, 'html5lib')
rating = soup.find('span', {'itemprop': 'ratingValue'})
print(rating.text)
# 4.58
The reason behind getting forbidden status code (HTTP error 403) which means the server will not fulfill your request despite understanding the response. You will definitely get this error if you try scrape a lot of the more popular websites which will have security features to prevent bots. So you need to disguise your request!
For that you need use Headers.
Also you need correct your tag attribute whose data you're trying to get i.e. itemprop
use lxml as your tree builder, or any other of your choice
import requests
from bs4 import BeautifulSoup
url = 'https://www.brewersfriend.com/homebrew/recipe/view/16367/southern-tier-pumking-clone'
# Add this
headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/73.0.3683.86 Safari/537.36'}
test_html = requests.get(url, headers=headers).text
soup = BeautifulSoup(test_html, 'lxml')
rating = soup.find('span', {'itemprop':'ratingValue'})
print(rating.text)
The page you are requesting response as 403 forbidden so you might not be getting an error but it will provide you blank result as []. To avoid this situation we add user agent and this code will get you the desired result.
import urllib.request
from bs4 import BeautifulSoup
user_agent = 'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.9.0.7) Gecko/2009021910 Firefox/3.0.7'
url = "https://www.brewersfriend.com/homebrew/recipe/view/16367/southern-tier-pumking-clone"
headers={'User-Agent':user_agent}
request=urllib.request.Request(url,None,headers) #The assembled request
response = urllib.request.urlopen(request)
soup = BeautifulSoup(response, "lxml")
rating = soup.find('span', {'itemprop':'ratingValue'})
rating.text
import requests
from bs4 import BeautifulSoup
headers = {
'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64)
AppleWebKit/537.36
(KHTML, like Gecko) Chrome/74.0.3729.108 Safari/537.36'
}
url = 'https://www.brewersfriend.com/homebrew/recipe/view/16367/southerntier-pumking
clone'
test_html = requests.get(url, headers=headers).text
soup = BeautifulSoup(test_html, 'html5lib')
rating = soup.find('span', {'itemprop': 'ratingValue'})
print(rating.text)
you are facing this error because some websites can't be scraped by beautiful soup. So for these kinds of websites, you have to use selenium
download latest chrome driver from this link according to your operating system
install selenium driver by this command "pip install selenium"
# import required modules
import selenium
from selenium import webdriver
from bs4 import BeautifulSoup
import time, os
curren_dir = os.getcwd()
print(curren_dir)
# concatinate web driver with your current dir && if you are using window change "/" to '\' .
# make sure , you placed chromedriver in current directory
driver = webdriver.Chrome(curren_dir+'/chromedriver')
# driver.get open url on your browser
driver.get('https://www.brewersfriend.com/homebrew/recipe/view/16367/southern-tier-pumking-clone')
time.sleep(1)
# it fetch data html data from driver
super_html = driver.page_source
# now convert raw data with 'html.parser'
soup=BeautifulSoup(super_html,"html.parser")
rating = soup.findAll("span",itemprop="ratingValue")
rating[0].text