I am just starting with web scraping and unfortunately, I am facing a showstopper: I would like pull some financial data but it seems that the website is quite complex (dynamic content etc.).
Data I would like pull
Website:
https://www.de.vanguard/web/cf/professionell/de/produktart/detailansicht/etf/9527/EQUITY/performance
So far, I've used Beautiful Soup to get this done. However, I cannot even find the table. Any ideas?
Look into using selenium to launch an automated web browser. This loads the web page and it's associated dynamic content, as well as allow you the option to 'click' on certain web elements to load content that may be generated on_click. You can use this in tandem with BeautifulSoup by passing driver.page_source to BeautifulSoup and parsing through it that way.
This SO answer provides a basic example that would serve as a good starting point: Python WebDriver how to print whole page source (html)
Related
I am scraping the links from this website https://www.firstmallorca.com/en/search, for each of the properties that appear on it, so I can further scrape them and collect more detailed data.
My problem is that the parsed HTML(I am using html5lib parser) from which I scrape the data seems to be different in some areas with respect to the HTML which I see on the browser's DevTool. To demonstrate this:
1.This is the last link I select. On the browser, its href="/en/sales/penthouse-in-santa-ponsa/102512"
1.Image
2.I print the parsed HTML from the Beautiful Soup Object from the webpage with bs4Object.prettfy() and I copy the whole output into notepad++.
3.Then, in the notepad I look for the same element as in point 1. I find it and the href="/en/sales/finca-in-portocolom/159515", which is different from what I see on the actual webpage.3.Image
I do not understand the nature of what's happening. On point 3, I was expecting to see href="/en/sales/penthouse-in-santa-ponsa/102512" instead of href="/en/sales/finca-in-portocolom/159515".
It seems to me like I am doing the scraping on other similar webpage, though not the one I see through the browser.
The website loads content via javascript, which your parser does not execute.
This is a task for selenium.
The selenium package is used to automate the interaction with the web browser from Python.
I am trying to scrape the addresses of Dunkin' locations using this website: https://www.dunkindonuts.com/en/locations?location=10001. However, when trying to access the list of each Dunkin' on the web page, it shows up as comment. How do I access the list? I've never done web scraping before.
Here's my current code, I'm expecting a list of Dunkin' stores which I can then extract the addresses from.
requests.get() will return the raw HTML for a web page. This is only the beginning of the journey when you view this page in the browser. Your browser will parse that HTML to create the DOM. It will load other resources, such as images and scripts from other files. Then it will execute those scripts. In the modern web, those scripts will modify the DOM to give the page that you finally see in the browser. requests alone doesn't give you all that.
One solution is to use a library that loads the HTML into a browser and does all of the magic. selenium is one such library.
I have been trying to scrape some data using beautiful soup from https://www.eia.gov/coal/markets/. However when I parse the contents some of the data does not show up at all. Those data fields are visible in chrome inspector but not in the soup. The thing is they do not seem to be text elements. I think they are fed using an external database. I have attached the screenshots below. Is there any other way to scrape that data?
Thanks in advance.
Google inspector:
Beautiful soup parsed content:
#DMart is correct. The data you are looking for is being populated by Javascript, have a look at line 1629 in the page source. Beautiful soup doesn't act as a client browser so there is nowhere for the JS to execute. So it looks like selenium is your best bet.
See This thread for more information.
Not enough detail in your question but this information is probably dynamically loaded and you're not fetching the entire page source.
Without your code it's tough to see if you're using selenium to do it (you tagged this questions as such) which may indicate you're using page_source which does not guarantee you the entire completed source of the page you're looking at.
If you're using requests its even more unlikely you're capturing the entire page's completed source code.
The data is loaded via ajax, so it is not available in the initial document. If you go to the networking tab in chrome dev tools you will see that the site reaches out to https://www.eia.gov/coal/markets/coal_markets_json.php. I searched for some of the numbers in the response and it looks like the data you are looking for is there.
This is a direct json response from the backend. Its better than selenium if you can get it to work.
Thanks you all!
Opening the page using selenium using a webdriver and then parsing the page source using beautiful soup worked.
webdriver.get('https://www.eia.gov/coal/markets/')
html=webdriver.page_source
soup=BS(html)
table=soup.find("table",{'id':'snl_dpst'})
rows=table.find_all("tr")
I am trying to extract information from an exchange website (chiliz.net) using Python (requests module) and the following code:
data = requests.get(url,time.sleep(15)).text
I used time.sleep since the website is not directly connecting to the exchange main page, but I am not sure it is necessary.
The things is that, I cannot find anything written under <body style> in the HTML text (which is the data variable in this case). How can I reach the full HTML code and then start to extract the price information from this website?
I know Python, but not familiar with websites/HTML that much. So I would appreciate if you explain the website related info like you are talking to a beginner. Thanks!
There could be a few reasons for this.
The website runs behind a proxy server from what I can tell, so this does interfere with your request loading time. This is why it's not directly connecting to the main page.
It might also be the case that the elements are rendered using javascript AFTER the page has loaded. So, you only get the page and not the javascript rendered parts. You can try to increase your sleep() time but I don't think that will help.
You can also use a library called Selenium. It simply automates browsers and you can use the page_source property to obtain the HTML source code.
Code (taken from here)
from selenium import webdriver
browser = webdriver.Firefox()
browser.get("http://example.com")
html_source = browser.page_source
With selenium, you can also set the XPATH to obtain the data of -' extract the price information from this website'; you can see a tutorial on that here. Alternatively,
once you extract the HTML code, you can also use a parser such as bs4 to extract the required data.
Say I want to scrape the following url:
https://soundcloud.com/search/sounds?q=edm&filter.created_at=last_week
I have the following python code:
import requests
from lxml import html
urlToSearch = 'https://soundcloud.com/search/sounds?q=edm&filter.created_at=last_week'
page = requests.get(urlToSearch)
tree = html.fromstring(page.content)
print(tree.xpath('//*[#id="content"]/div/div/div[3]/div/div/div/ul/div/div/text()'))
The trouble is when I print the text at the following xpath:
//*[#id="content"]/div/div/div[3]/div/div/div/ul/div/div
nothing appears but [] despite me confirming that "Found 500+ tracks" should be there. What am i doing wrong?
The problem is that requests does not generate dynamic content.
Right click on the page and view the page source, you'll see that the static content does not include any of the content that you see after the dynamic content has loaded.
However, (using Chrome) open dev tools, click on network and XHR. It looks like you can get the data through an API which is better than scraping anyway!
Problem is that with modern websites almost all web pages will change quite a lot after its been loaded with JavaScript, css etc. You will fetch the basic html before any DOM updates etc been made and will look differently to actually visiting the page with a browser.
Use the Selenium WebDriver framework (mostly used for test automation), it will emulate loading the page, executing javascripts etc.
Selenium Documentation for Python