I am using BeautifulSoup python package to scrape a table of data from a webpage. The tables have many pages that can be clicked through, I was hoping that i could extract each page of the table by running through adjusted URL's that identify the page but this particular site is statically updating the table using javascript that changes the source code.
Does anyone know a work-around? I am new to BeautifulSoup and do not know if there is a way to do this.
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I am Yasa James, 14, and I am new to web scraping.
I am trying to extract titles and links from this website.
As an so called "Utako" and a want-to-be programmer, I want to create a program that extract links and titles at the same time. I am currently using lxml because I cant download selenium, limited internet, very slow internet because Im from a province in philippines and I think its faster than other modules that I've used.
here's my code:
from lxml import html
import requests
url = 'https://animixplay.to/dr.%20stone'
page = requests.get(url)
doc = html.fromstring(page.content)
anime = doc.xpath('//*[#id="result1"]/ul/li[1]/p[1]/a/text()')
print(anime)
One thing I've noticed is that is I want to grab the value of an element from any of the divs, is it gives out an empty list as an output.
I hope you can help me with this my Seniors. Thank You!
Update:
i used requests-html to fix my problem and now its working, Thank you!
The reason this does not work is that the site you're trying to fetch uses JavaScript to generate the results, which means Selenium is your only option if you want to scrape the HTML. Any static fetching and processing libraries like lxml and beautifulsoup simply do not have the ability to parse the result of JavaScript calls.
I'm trying to scrape this webpage https://www.whoscored.com/Statistics using BeautifulSoup in order to obtain all the information of the player statistics table. I'm having lot of difficulties and was wondering if anyone would be able to help me.
url = 'https://www.whoscored.com/Statistics'
html = requests.get(url).content
soup = BeautifulSoup(html, "lxml")
text = [element.text for element in soup.find_all('div' {'id':"statistics-table-summary"})]
My problem lies in the fact that I don't know what the correct tag is to obtain that table. Also the table has several pages and I would like to scrape every single one. The only indication I've seen of a change of page in the table is the number in the code below:
<div id="statistics-table-summary" class="" data-fwsc="11">
It looks to me like that site loads their data in using Javascript. In order to grab the data, you'll have to mimic how a browser loads a page; the requests library isn't enough. I'd recommend taking a look at a tool like Selenium, which uses a "robotic browser" to load the page. After the page is loaded, you can then use BeautifulSoup to retrieve the data you need.
Here's a link to a helpful tutorial from RealPython.
Good luck!
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)
I am trying to go to a website, use their search tool to query a database, and grab all of the links from the table of search results displayed below the search tool. The problem is, the source for the website only shows the html for the search tool. Can anyone help me figure out how to get the links from the table? The address of the search tool is:
https://wagyu.digitalbeef.com/
I was hoping to use BeautifulSoup and python 3.6 on a windows 10 machine to read the pages associated with those links and grab the name of the cows and it's parents to create a more advanced pedigree chart than what is available on the site. Thanks for the help.
Just to clarify, I can manually grab a single link, use bs to grab the html for that page, and pull out the pedigree info. I just don't know how to grab the links from the search results page.
I am attempting to retrieve player statistics from MLB.com for the 2016 season. I am using Beautiful Soup in Python, and I need to extract the information in the table seen here:
http://mlb.mlb.com/stats/sortable.jsp#elem=%5Bobject+Object%5D&tab_level=child&click_text=Sortable+Player+hitting&game_type='R'&season=2016&season_type=ANY&league_code='MLB'§ionType=sp&statType=hitting&page=1&ts=1493672037085&playerType=ALL&sportCode='mlb'&split=&team_id=&active_sw=&position=&page_type=SortablePlayer&sortOrder='desc'&sortColumn=ab&results=&perPage=442&timeframe=&last_x_days=&extended=0
Here is what I have attempted:
r=requests.get(url)
soup=BeautifulSoup(r.content,'html.parser')
gdata=soup.find_all('div',{'id':'datagrid'})
print(gdata)
This should return all of the subtags within the tag, but it does not. This results in the following:
[<div id="datagrid"></div>]
Can anyone explain why this is not producing the contents of the table? Furthermore, what can I do to access the contents of the table?
Thanks
If you look at the source for the webpage, it looks like the datagrid div is actually empty & the stats are inserted dynamically as json from this URL. Maybe you can use that instead. To figure this out I looked at the page source to see that the div had no children and then used Chrome developer tools Network tab to find the request where it pulled the data:
Open the web page
Open the chrome developer tools, Command+Option+I (Mac) or Control+Shift+I (Windows, Linux).
Refresh the web page with the tools open so it processes the network requests then wait for the page to load
(optional) Type xml in the search bar on the web to narrow your search results to requests that are likely to have data
Click on each request and look at the preview of the response. At this point I just manually examined the responses to see which had your data. I got lucky and got yours on the first try since it has stats in the name.