Scrape football predictions from bing - javascript

When you use bing search and search for fussball bundesliga bing displays you the last week the current week and the next week. The games are normally on weekend. if none of the games for the actual week is already played you will get probabilities for each team to win, loose or have a draw.
I can already get the results/predictions from the page that don't need to be expanded, since they are in the html on load. To see more I need to expand that view somehow (can bee seen by the circle in the picture). In a human controlled browser this is easy.
The problem is that clicking on that arrow issues an onclick() event which executes a javascript. So I thought using somethin that has javascript support might help. Till now I could not get the missing games since I'm not able to programmatically click that arrow and load the page. Here is my Code:
from bs4 import BeautifulSoup
from bs4.element import NavigableString
import requests
import sys
from lxml import html
import spynner
from time import sleep
import dryscrape
from bs4 import BeautifulSoup
if __name__ == "__main__":
url = "https://www.bing.com/search?q=fussball+bundesliga"
sess = dryscrape.Session()
sess.visit(url)
response = sess.body()
dryscrype_soup = BeautifulSoup(response,"lxml")
#test = dryscrype_soup.findAll("div",{"id":"tab_3_dynamic"})
dryscrape_actual_week = dryscrype_soup.findAll("div",{"id":"sp-full-29"})
dryscrape_text = [i for i in dryscrype_soup.recursiveChildGenerator() if type(i) == NavigableString]
dryscrape_all_text = dryscrape_actual_week[0].findAll(text=True)
browser = spynner.Browser(debug_level=spynner.DEBUG)
browser.show(True,True)
browser.load(url)
browser.runjs("sj_evt.fire('ExpandClick', '29', '');",True)
#browser.wk_click(".//*[#id='sp-expandTop-more-29']", wait_load=True)
#browser.wk_click_ajax(selector=".//*[#id='sp-expandTop-more-29']")
browser.wait_load()
markup = browser._get_html()
spynner_soup = BeautifulSoup(markup,"lxml")
spynner_actual_week = spynner_soup.findAll("div",{"id":"sp-full-29"})
spynner_all_text = spynner_actual_week[0].findAll(text=True)
Don't bother the imports, I tried several things already. I tried microsofts azure api, but this only delivers links, not these predictions. When you have a look into the html that is parsed or the variables spynner_all_text and dryscrape_all_text you will notice that they contain only the results from the non expaned webpage. Hope someone can help me with that.

Related

How to scrape multiple pages with an unchanging URL - Python 3

I recently got in touch with web scraping and tried to web scrape various pages. For now, I am trying to scrape the following site - http://www.pizzahut.com.cn/StoreList
So far I've used selenium to get the longitude and latitude scraped. However, my code right now only extracts the first page. I know there is a dynamic web scraping that executes javascript and loads different pages, but had hard time trying to find a right solution. I was wondering if there's a way to access the other 49 pages or so, because when I click next page the URL does not change because it is set, so I cannot just iterate over a different URL each time
Following is my code so far:
import os
import requests
import csv
import sys
import time
from bs4 import BeautifulSoup
page = requests.get('http://www.pizzahut.com.cn/StoreList')
soup = BeautifulSoup(page.text, 'html.parser')
for row in soup.find_all('div',class_='re_RNew'):
name = row.find('p',class_='re_NameNew').string
info = row.find('input').get('value')
location = info.split('|')
location_data = location[0].split(',')
longitude = location_data[0]
latitude = location_data[1]
print(longitude, latitude)
Thank you so much for helping out. Much appreciated
Steps to get the data:
Open the developer tools in your browser (for Google Chrome it's Ctrl+Shift+I). Now, go to the XHR tab which is located inside the Network tab.
After doing that, click on the next page button. You'll see the following file.
Click on that file. In the General block, you'll see these 2 things that we need.
Scrolling down, in the Form Data tab, you can see the 3 variables as
Here, you can see that changing the value of pageIndex will give all the pages required.
Now, that we've got all the required data, we can write a POST method for the URL http://www.pizzahut.com.cn/StoreList/Index using the above data.
Code:
I'll show you the code to scrape first 2 pages, you can scrape any number of pages you want by changing the range().
for page_no in range(1, 3):
data = {
'pageIndex': page_no,
'pageSize': 10,
'keyword': '输入餐厅地址或餐厅名称'
}
page = requests.post('http://www.pizzahut.com.cn/StoreList/Index', data=data)
soup = BeautifulSoup(page.text, 'html.parser')
print('PAGE', page_no)
for row in soup.find_all('div',class_='re_RNew'):
name = row.find('p',class_='re_NameNew').string
info = row.find('input').get('value')
location = info.split('|')
location_data = location[0].split(',')
longitude = location_data[0]
latitude = location_data[1]
print(longitude, latitude)
Output:
PAGE 1
31.085877 121.399176
31.271117 121.587577
31.098122 121.413396
31.331458 121.440183
31.094581 121.503654
31.270737000 121.481178000
31.138214 121.386943
30.915685 121.482079
31.279029 121.529255
31.168283 121.283322
PAGE 2
31.388674 121.35918
31.231706 121.472644
31.094857 121.219961
31.228564 121.516609
31.235717 121.478692
31.288498 121.521882
31.155139 121.428885
31.235249 121.474639
30.728829 121.341429
31.260372 121.343066
Note: You can change the results per page by changing the value of pageSize (currently it's 10).

Parsing html from a javascript rendered url with python object

I would like to extract the market information from the following url and all of its subsequent pages:
https://uk.reuters.com/investing/markets/index/.FTSE?sortBy=&sortDir=&pn=1
I have successfully parsed the data that I want from the first page using some code from the following url:
https://impythonist.wordpress.com/2015/01/06/ultimate-guide-for-scraping-javascript-rendered-web-pages
I have also been able to parse out the url for the next page to feed into a loop in order to grab data from the next page. The problem is it crashes before the next page loads for a reason I don't fully understand.
I have a hunch that the class that I have borrowed from 'impythonist' may be causing the problem. I don't know enough object orientated programming to work out the problem. Here is my code, much of which is borrowed from the the url above:
import sys
from PyQt4.QtGui import *
from PyQt4.QtCore import *
from PyQt4.QtWebKit import *
from lxml import html
import re
from bs4 import BeautifulSoup
class Render(QWebPage):
def __init__(self, url):
self.app = QApplication(sys.argv)
QWebPage.__init__(self)
self.loadFinished.connect(self._loadFinished)
self.mainFrame().load(QUrl(url))
self.app.exec_()
def _loadFinished(self, result):
self.frame = self.mainFrame()
self.app.quit()
base_url='https://uk.reuters.com'
complete_next_page='https://uk.reuters.com/investing/markets/index/.FTSE?sortBy=&sortDir=&pn=1'
#LOOP TO RENDER PAGES AND GRAB DATA
while complete_next_page != '':
print ('NEXT PAGE: ',complete_next_page, '\n')
r = Render(complete_next_page) # USE THE CLASS TO RENDER JAVASCRIPT FROM PAGE
result = r.frame.toHtml() # ERROR IS THROWN HERE ON 2nd PAGE
# PARSE THE HTML
soup = BeautifulSoup(result, 'lxml')
row_data=soup.find('div', attrs={'class':'column1 gridPanel grid8'})
print (len(row_data))
# PARSE ALL ROW DATA
stripe_rows=row_data.findAll('tr', attrs={'class':'stripe'})
non_stripe_rows=row_data.findAll('tr', attrs={'class':''})
print (len(stripe_rows))
print (len(non_stripe_rows))
# PARSE SPECIFIC ROW DATA FROM INDEX COMPONENTS
#non_stripe_rows: from 4 to 18 (inclusive) contain data
#stripe_rows: from 2 to 16 (inclusive) contain data
i=2
while i < len(stripe_rows):
print('CURRENT LINE IS: ',str(i))
print(stripe_rows[i])
print('###############################################')
print(non_stripe_rows[i+2])
print('\n')
i+=1
#GETS LINK TO NEXT PAGE
next_page=str(soup.find('div', attrs={'class':'pageNavigation'}).find('li', attrs={'class':'next'}).find('a')['href']) #GETS LINK TO NEXT PAGE WORKS
complete_next_page=base_url+next_page
I have annotated the bits of code that I have written and understand but I don't really know what's going on in the 'Render' class enough to diagnose the error? Unless its something else?
Here is the error:
result = r.frame.toHtml()
AttributeError: 'Render' object has no attribute 'frame'
I don't need to keep the information in the class once I have parsed it out so I was thinking perhaps it could be cleared or reset somehow and then updated to hold the new url information from page 2:n but I have no idea how to do this?
Alternatively if anyone knows another way to grab this specific data from this page and the following ones then that would be equally helpful?
Many thanks in advance.
How about using selenium and phantomjs instead of PyQt.
You can easily get selenium by executing "pip install selenium".
If you use Mac you can get phantomjs by executing "brew install phantomjs".
If your PC is Windows use choco instead of brew, or Ubuntu use apt-get.
from selenium import webdriver
from bs4 import BeautifulSoup
base_url = "https://uk.reuters.com"
first_page = "/business/markets/index/.FTSE?sortBy=&sortDir=&pn=1"
browser = webdriver.PhantomJS()
# PARSE THE HTML
browser.get(base_url + first_page)
soup = BeautifulSoup(browser.page_source, "lxml")
row_data = soup.find('div', attrs={'class':'column1 gridPanel grid8'})
# PARSE ALL ROW DATA
stripe_rows = row_data.findAll('tr', attrs={'class':'stripe'})
non_stripe_rows = row_data.findAll('tr', attrs={'class':''})
print(len(stripe_rows), len(non_stripe_rows))
# GO TO THE NEXT PAGE
next_button = soup.find("li", attrs={"class":"next"})
while next_button:
next_page = next_button.find("a")["href"]
browser.get(base_url + next_page)
soup = BeautifulSoup(browser.page_source, "lxml")
row_data = soup.find('div', attrs={'class':'column1 gridPanel grid8'})
stripe_rows = row_data.findAll('tr', attrs={'class':'stripe'})
non_stripe_rows = row_data.findAll('tr', attrs={'class':''})
print(len(stripe_rows), len(non_stripe_rows))
next_button = soup.find("li", attrs={"class":"next"})
# DONT FORGET THIS!!
browser.quit()
I know the code above is not efficient (too slow I feel), but I think that it will bring you the results you desire. In addition, if the web page you want to scrape does not use Javascript, even PhantomJS and selenium are unnecessary. You can use the requests module. However, since I wanted to show you the contrast with PyQt, I used PhantomJS and Selenium in this answer.

Python doesn't grab info due to JS

Below is a bit of code I am puzzled with. I have been successful with web scraping info from other sites but this one I can't get my head around. I believe that I am missing something due to, maybe, JS.
My end code will take the mainurl and theurl (which is a link) and add them together. However I can even seem to be able to display theurl out. When I go through the inspect aspect I can see what I need but in page source it is not there. Am I missing something in my code for the JS?
import requests
from bs4 import BeautifulSoup
import csv
b = open('csv/homedepot.csv', 'w', newline='')
a = csv.writer(b,delimiter=',')
mainurl = "http://www.homedepot.ca" ## Main website
theurl = "https://www.homedepot.ca/en/home/categories/appliances/refrigerators-and-freezers.html" ##Target website
r = requests.get(theurl)
soup = BeautifulSoup(r.content, "lxml")
for link in soup.findAll('a'):
print (link.get('href'))

invoking onclick event with beautifulsoup python

I am trying to fetch the links to all accomodations in Cyprus from this website:
http://www.zoover.nl/cyprus
So far I can retrieve the first 15 which are already shown. So now I have to invoke the click on the "volgende"-link. However I don't know how to do that and in the source code I am not able to track down the function called to use e.g. sth like posted here:
Issues with invoking "on click event" on the html page using beautiful soup in Python
I only need the step where the "clicking" happens so I can fetch the next 15 links and so on.
Does anybody know how to help?
Thanks already!
EDIT:
My code looks like this now:
def getZooverLinks(country):
zooverWeb = "http://www.zoover.nl/"
url = zooverWeb + country
parsedZooverWeb = parseURL(url)
driver = webdriver.Firefox()
driver.get(url)
button = driver.find_element_by_class_name("next")
links = []
for page in xrange(1,3):
for item in parsedZooverWeb.find_all(attrs={'class': 'blue2'}):
for link in item.find_all('a'):
newLink = zooverWeb + link.get('href')
links.append(newLink)
button.click()'
and I get the following error:
selenium.common.exceptions.StaleElementReferenceException: Message: Element is no longer attached to the DOM
Stacktrace:
at fxdriver.cache.getElementAt (resource://fxdriver/modules/web-element-cache.js:8956)
at Utils.getElementAt (file:///var/folders/n4/fhvhqlmx23s8ppxbrxrpws3c0000gn/T/tmpKFL43_/extensions/fxdriver#googlecode.com/components/command-processor.js:8546)
at fxdriver.preconditions.visible (file:///var/folders/n4/fhvhqlmx23s8ppxbrxrpws3c0000gn/T/tmpKFL43_/extensions/fxdriver#googlecode.com/components/command-processor.js:9585)
at DelayedCommand.prototype.checkPreconditions_ (file:///var/folders/n4/fhvhqlmx23s8ppxbrxrpws3c0000gn/T/tmpKFL43_/extensions/fxdriver#googlecode.com/components/command-processor.js:12257)
at DelayedCommand.prototype.executeInternal_/h (file:///var/folders/n4/fhvhqlmx23s8ppxbrxrpws3c0000gn/T/tmpKFL43_/extensions/fxdriver#googlecode.com/components/command-processor.js:12274)
at DelayedCommand.prototype.executeInternal_ (file:///var/folders/n4/fhvhqlmx23s8ppxbrxrpws3c0000gn/T/tmpKFL43_/extensions/fxdriver#googlecode.com/components/command-processor.js:12279)
at DelayedCommand.prototype.execute/< (file:///var/folders/n4/fhvhqlmx23s8ppxbrxrpws3c0000gn/T/tmpKFL43_/extensions/fxdriver#googlecode.com/components/command-processor.js:12221)
I'm confused :/
While it might be tempting to try to do this using Beautifulsoup's evaluateJavaScript method, in the end Beautifulsoup is a parser rather than an interactive web browsing client.
You should seriously consider solving this with selenium, as briefly shown in this answer. There are pretty good Python bindings available for selenium.
You could just use selenium to find the element and click it, and then pass the page on to Beautifulsoup, and use your existing code to fetch the links.
Alternatively, you could use the Javascript that's listed in the onclick handler. I pulled this from the source: EntityQuery('Ns=pPopularityScore%7c1&No=30&props=15292&dims=530&As=&N=0+3+10500915');. The No parameter increments with 15 for each page, but the props has me guessing. I'd recommend not getting into this, though, and just interact with the website as a client would, using selenium. That's much more robust to changes on their side, as well.
I tried the following code and was able to load next page. Hope this will help you too.
Code:
from selenium import webdriver
import os
chromedriver = "C:\Users\pappuj\Downloads\chromedriver"
os.environ["webdriver.chrome.driver"] = chromedriver
driver = webdriver.Chrome(chromedriver)
url='http://www.zoover.nl/cyprus'
driver.get(url)
driver.find_element_by_class_name('next').click()
Thanks

Navigate through content generated by Javascript using Python in Selernium?

I've written a script to test a process involving data input & several pages, but after writing it I've found the forms & main content to be generated from javascript.
The following is a snippet of the script I wrote, and after that initial link the content is generated by JS (its my first python script so excuse any mistakes);
from selenium import webdriver
from selenium.common.exceptions import NoSuchElementException
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.action_chains import ActionChains
import time
browser = webdriver.Firefox()
browser.get('http://127.0.0.1:46727/?ajax=1')
assert "Home" in browser.title
# Find and click the Employer Database link
empDatabaseLink = browser.find_element_by_link_text('Employer Database')
click = ActionChains(browser).click(on_element = empDatabaseLink)
click.perform()
# Content loaded by the above link is generated by the JS
# Find and click the Add Employer button
addEmployerButton = browser.find_element_by_id('Add Employer')
addEmployer = ActionChains(browser).click(on_element = addEmployerButton)
addEmployer.perform()
browser.save_screenshot(r'images\Add_Employer_Form.png')
# Input Employer name
employerName = browser.find_element_by_id('name')
employerName.send_keys("Selenium")
browser.save_screenshot(r'images\Entered_Employer_Name.png')
# Move to next
nextButton = broswer.find_element_by_name('button_next')
moveForward = ActionChains(browser).click(on_element = nextButton)
# Move through various steps
# Then
# Move to Finish
moveForward = ActionChains(browser).click(on_element = nextButton)
How do you access page elements that aren't in the source? I've been looking around & found GetEval but not found anything that I can use :/
Well, to the people of the future, our above conversation appears to have lead to the conclusion that xpath is what mark was looking for. So remember to try xpath, and to use the Selenium IDE and Firebug to locate particularly obstinate page elements.

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