from bs4 import BeautifulSoup
import requests
import time
from selenium import webdriver
driver = webdriver.Chrome(r'C:\chromedriver.exe')
url ='https://www.sambav.com/hyderabad/doctors'
driver.get(url)
soup = BeautifulSoup(driver.page_source,'html.parser')
for links in soup.find_all('div',class_='sambavdoctorname'):
link = links.find('a')
print(link['href'])
driver.close()
I am trying to scrape this page, the link is same in all pages. I am trying to extract the links from all mutiple pages but it's not giving any output nor showing any error just the program gets end.
If you check that website by developer tools in browser ( chrome or mozilla or whatever), before loading website, the website fetch data from few sources. One of this sources is "https://www.sambav.com/api/search/DoctorSearch?searchText=&city=Hyderabad&location=" . Your code could be simplified (and there is no need to use selenium):
import requests
r = requests.get('https://www.sambav.com/api/search/DoctorSearch?searchText=&city=Hyderabad&location=')
BASE_URL_DOCTOR = 'https://www.sambav.com/hyderabad/doctor/'
for item in r.json():
print(BASE_URL_DOCTOR + item['uniqueName'])
Related
I am working on a web scraping project and want to get a list of products from Dell's website. I found this link (https://www.dell.com/support/home/us/en/04/products/) which pulls up a box with a list of product categories (really just redirect urls. If it doesn't come up for you click the button which says "Browse all products"). I tried using Python Requests to GET the page and save the text to a file to parse through, but the response doesn't contain any of the categories/redirect urls. My code is as basic as it gets:
import requests
url = "https://www.dell.com/support/home/us/en/04/products/"
page = requests.get(url)
with open("laptops.txt", "w", encoding="utf-8") as outf:
outf.write(page.text)
outf.close()
Is there a way to get these redirect urls? I am essentially trying to make my own site map of their products so that I can scrape the details of each one. Thanks
This page uses JavaScript to get and display these links - but requests/urllib and BeautifulSoup/lxml can't run JavaScript.
Using DevTools in Firefox/Chrome (tab: Network) I found it reads it from url
https://www.dell.com/support/components/productselector/allproducts?category=all-products/esuprt_&country=pl&language=pl®ion=emea&segment=bsd&customerset=plbsd1&openmodal=true&_=1589265310743
so I use it to get links.
You may have to to change country=pl&language=pl in url to get it in different language.
import requests
from bs4 import BeautifulSoup as BS
url = "https://www.dell.com/support/components/productselector/allproducts?category=all-products/esuprt_&country=pl&language=pl®ion=emea&segment=bsd&customerset=plbsd1&openmodal=true&_=1589265310743"
response = requests.get(url)
soup = BS(response.text, 'html.parser')
all_items = soup.find_all('a')
for item in all_items:
print(item.text, item['href'])
BTW: Other method is it use Selenium to control real web browser which can run JavaScript.
try using selenium chrome driver it helps for handling dynamic data on website and also features like clicking buttons, handling page refresh etc.
Beginner guide to web scraping
I am currently trying to scrape live stock market data from the yahoo finance page.
I am using bs4. My current issue is that whenever I run my script, it does not update properly to reflect the current price of the stock.
If anybody has any advice on how to change that it would be appreciated.
import requests
from bs4 import BeautifulSoup
while True:
page = requests.get("https://nz.finance.yahoo.com/quote/NZDUSD=X?p=NZDUSD=X")
soup = BeautifulSoup(page.text, "html.parser")
price = soup.find("div", {"class": "My(6px) Pos(r) smartphone_Mt(6px)"}).find("span").text
print(price)
NOT POSSIBLE WITH BS4 ALONE
This website particularly uses JavaScript to update the page and urlib etc. just parses the html content of the page not Java Script or AJAX content.
PhantomJs or Selenium Web Browser provide a more mechanized browser that often can run the JavaScript codes enabling dynamic websites. Try Using this :)
Using Selenium It can be done as:
from selenium import webdriver #its the library
import time
from selenium.webdriver.common.keys import Keys
from bs4 import BeautifulSoup as soup
#it Says that we are going to Use chrome browser
chrome_options = webdriver.ChromeOptions()
#hiding the Chrome Browser
chrome_options.add_argument("--headless")
#Initiating Chrome with all properties we need (in this case we use no specific properties
driver = webdriver.Chrome(chrome_options=chrome_options,executable_path='C:/Users/shary/Downloads/chromedriver.exe')
#URL We need to open
url = 'https://nz.finance.yahoo.com/quote/NZDUSD=X?p=NZDUSD=X'
#Starting Our Browser
driver = webdriver.Chrome()
#Accessing the url .. this will open the page just as you open in Chrome etc.
driver.get(url)
while 1:
#it will get you the html content repeatedly .. So you can get the changing price
html = driver.page_source
page_soup = soup(html,features="lxml")
price = page_soup.find("div", {"class": "D(ib) Mend(20px)"}).text
print(price)
time.sleep(5)
Note the Best Comments But Hope this you will understand it :) Else Watch a youtube tutorial to get proper idea what a Selenium Bot does
Hope This will Help. Its working perfect for me :) Accept This Answer if it helps you
I am attempting to pull the title and link of each so called raffle in the list on this website. However, when i try to scrape this data, it can't seem to be found.
I have tried scraping all links on the page, but I think these "boxes" may be loaded via javascript.
The results I am receiving are a few links unrelated to what I want to get. There should be 40+ links that show up in this list, but the majority are not showing. Any help would be great, been stuck on this for a while
For some reason, this link and many others aren't showing up when I am scraping:
my code:
def raffle_page_collection():
chrome_driver()
page = requests.get('https://www.soleretriever.com/yeezy-boost-350-v2-black/')
soup = BeautifulSoup(page.text,'html.parser')
product_header = soup.find('h1').text
product_colorway = soup.find('h2').text
product_sku_and_release_date_and_price = soup.find('h3').text
container = soup.find(class_='main-container')
raffles = container.find_all('a')
raffle_list = []
for items in raffles:
raffle_list.append(items.get('href'))
print(raffle_list)
You should try automation selenium library. it allows you to scrape dynamic rendering request(js or ajax) page data.
Try this:
from selenium import webdriver
from bs4 import BeautifulSoup
import time
browser = webdriver.Chrome()
browser.get('https://www.soleretriever.com/yeezy-boost-350-v2-black/')
time.sleep(3)
soup = BeautifulSoup(browser.page_source,'html.parser')
product_header = soup.find('h1').text
product_colorway = soup.find('h2').text
product_sku_and_release_date_and_price = soup.find('h3').text
container = soup.find(class_='main-container')
raffles = container.find("div",{"class":"vc_pageable-slide-wrapper vc_clearfix"})
raffle_list = []
for items in raffles.find_all("a",href=True):
raffle_list.append(items.get('href'))
print(product_header)
print(product_colorway)
print(product_sku_and_release_date_and_price)
print(raffle_list)
O/P:
Yeezy Boost 350 v2 Black
Black/ Black/ Black
FU9006 | 07/06/19 | $220
['https://www.43einhalb.com/en/adidas-yeezy-boost-350-v2-black-328672#SR', 'https://www.adidas.co.uk/yeezy#SR', 'https://www.allikestore.com/default/adidas-yeezy-boost-350-v2-static-black-black-fu9006-105308.html#SR', 'https://archive1820.com/en/forms/6/yeezy-raffle#SR', 'https://drops.blackboxstore.com/blackbox_launches_view/catalog/product/view/id/22296/s/yeezy-boost-350-v2#SR', 'https://woobox.com/4szm9v#SR', 'https://launches.endclothing.com/product/yeezy-boost-350-v2-fu9006#SR', 'https://www.instagram.com/p/ByEIHSHDSY6/', 'https://www.instagram.com/p/ByFG1G0lWf7/', 'https://releases.footshop.com/adidas-yeezy-boost-350-v2-agqn6WoBJZ9y4RSnzw9G#SR', 'https://launches.goodhoodstore.com/launches/yeezy-boost-350-v2-black-33#SR', 'https://www.hervia.com/launches/yeezy-350#SR', 'https://www.hibbett.com/adidas-yeezy-350-v2-black-mens-shoe/M0991.html#SR', 'https://reporting.jdsports.co.uk/cgi-bin/msite?yeezy_comp+a+0+0+0+0+0&utm_source=RedEye&utm_medium=Email&utm_campaign=Yeezy%20Boost%20351%20Clay&utm_content=0905%20Yeezy%20Clay#SR', 'https://www.instagram.com/p/ByDnK6uH6kE/', 'https://www.nakedcph.com/yeezy-boost-v2-350-static-black-raffle/s/635#SR', 'https://www.instagram.com/p/ByIXT8zHvYz/', 'https://launches.sevenstore.com/launch/yeezy-boost-350-v2-black-4033024#SR', 'https://shelta.eu/news/adidas-yeezy-boost-350-v2-black-fu9006x#SR', 'https://www.instagram.com/p/ByDI_6JAfty/', 'https://www.sneakersnstuff.com/en/product/38889/adidas-yeezy-350-v2#SR', 'https://www.instagram.com/p/ByHtt3HFkE0/', 'https://www.instagram.com/p/ByCaKR7Cde1/', 'https://tres-bien.com/adidas-yeezy-boost-350-v2-black-fu9006-fw19#SR', 'https://yeezysupply.com/products/yeezy-boost-350-v2-black-june-7-2019#SR']
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/
I'm practicing web scraping with Python atm and I found a problem, I wanted to scrape one website that has a list of anime that I watched before but when I try to scrape it (via requests or selenium) it only gets around 30 of 110 anime names from the page.
Here is my code with selenium:
from selenium import webdriver
from bs4 import BeautifulSoup
browser = webdriver.Firefox()
browser.get("https://anilist.co/user/Agusmaris/animelist/Completed")
data = BeautifulSoup(browser.page_source, 'lxml')
for title in data.find_all(class_="title"):
print(title.getText())
And when I run it, the page source only shows up until an anime called 'Golden time' when there are like 70 or more left that are in the page.
Thanks
Edit: Code that works now thanks to 'supputuri':
from selenium import webdriver
from bs4 import BeautifulSoup
import time
driver = webdriver.Firefox()
driver.get("https://anilist.co/user/Agusmaris/animelist/Completed")
time.sleep(3)
footer = driver.find_element_by_css_selector("div.footer")
preY = 0
print(str(footer))
while footer.rect['y'] != preY:
preY = footer.rect['y']
footer.location_once_scrolled_into_view
print('loading')
html = driver.page_source
soup = BeautifulSoup(html, 'lxml')
for title in soup.find_all(class_="title"):
print(title.getText())
driver.close()
driver.quit()
ret = input()
Here is the solution.
Make sure to add import time
driver.get("https://anilist.co/user/Agusmaris/animelist/Completed")
time.sleep(3)
footer =driver.find_element_by_css_selector("div.footer")
preY =0
while footer.rect['y']!=preY:
preY = footer.rect['y']
footer.location_once_scrolled_into_view
time.sleep(1)
print(str(driver.page_source))
This will iterate until all the anime is loaded and then gets the page source.
Let us know if this was helpful.
So, this is the jist of what I get when I load the page source:
AniListwindow.al_token = 'E1lPa1kzYco5hbdwT3GAMg3OG0rj47Gy5kF0PUmH';Sorry, AniList requires Javascript.Please enable Javascript or http://outdatedbrowser.com>upgrade to a modern web browser.Sorry, AniList requires a modern browser.Please http://outdatedbrowser.com>upgrade to a newer web browser.
Since I know damn well that Javascript is enabled and my Chrome version is fully up to date, and the URL listed takes one to a nonsecure website to "download" a new version of your browser, I think this is a spam site. Not sure if you were aware of that when posting so I won't flag as such, but I wanted you and others who come across this to be aware.
I'm trying to loop through Zillow pages and extract data. I know that the URL is being updated with a new page number after each iteration but the data extracted is as if the URL is still on page 1.
import selenium
from selenium import webdriver
import requests
from bs4 import BeautifulSoup
import pandas as pd
next_page='https://www.zillow.com/romeo-mi-48065/real-estate-agent-reviews/'
num_data1=pd.DataFrame(columns=['name','number'])
browser=webdriver.Chrome()
browser.get('https://www.zillow.com/romeo-mi-48065/real-estate-agent-reviews/')
while True:
page=requests.get(next_page)
contents=page.content
soup = BeautifulSoup(contents, 'html.parser')
number_p=soup.find_all('p', attrs={'class':'ldb-phone-number'},text=True)
name_p=soup.find_all('p', attrs={'class':'ldb-contact-name'},text=True)
number_p=pd.DataFrame(number_p,columns=['number'])
name_p=pd.DataFrame(name_p,columns=['name'])
num_data=number_p['number'].apply(lambda x: x.text.strip())
nam_data=name_p['name'].apply(lambda x: x.text.strip())
number_df=pd.DataFrame(num_data,columns=['number'])
name_df=pd.DataFrame(nam_data,columns=['name'])
num_data0=pd.concat([number_df,name_df],axis=1)
num_data1=num_data1.append(num_data0)
try:
button=browser.find_element_by_css_selector('.zsg-pagination>li.zsg-pagination-next>a').click()
next_page=str(browser.current_url)
except IndexError:
break
Replace page=requests.get(next_page) with page = browser.page_source
Basically what's happening is that you're going to the next page in Chrome, but then trying to load that page's url with requests which is getting redirected back to page one by Zillow (probably because it doesn't have the cookies or appropriate request headers).
why not make your life easier and use the Zillow API instead of scraping? (do you even have permission to scrape their site?)