I'm looking for method to read context from hyperlink on website. Is it possible?
For example:
website = "WEBSITE"
openwebsite = urllib2.urlopen(website)
hyperlink = _some_method_to_find_hyperlink(openwebsite)
get_context_from_hyper(hyperlink)
I was searching in Beautiful Shop, but I cannot find something usefull.
I thinking that i could with lopp to find revelant hyperlink, and use urllib2 again, but website is quite large, and it would takes ages.
You could go and try the Beautiful Soup Package which enables you to parse HTML and thus extract any tag you might be looking for.
Related
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.
firstly-I apologize if I'm missing something super simple, I've looked at many questions and cannot find this out for the life of me.
Basically, the website I'm trying to gather text is here:
https://www.otcmarkets.com/stock/MNGG/overview
I want to pull the information from the side that says 'Dark or Defunct,' my current code is as follows:
url = 'https://www.otcmarkets.com/stock/MNGG/overview'
page = requests.get(url)
soup = BeautifulSoup(page.content, "html.parser")
ticker = soup.find('href', 'Dark or Defunct')
But as the title says, it just returns none. Where am I going wrong? I'm quite inexperienced so I'd love an explanation if possible.
It's returning none because it there is no mention of it in the HTML page source. Everything on that website is dynamically loaded from JavaScript sources. BeautifulSoup is designed to pull data out of HTML and XML files, and in the HTML file provided, there is no mention of "Dark or Darker" (so BeautifulSoup correctly finds nothing). You'll need to use a scraping method that has support for JavaScript. See Web-scraping JavaScript page with Python.
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 trying to parse the HTML page of a popular music streaming web app with BeautifulSoup, I am using the find_all function to look for X css class.
Workflow looks like:
r = requests.get('URL')
soup = BeautifulSoup(r.content)
soup.select("Tag", class_="Class name here")
The output is an empty list, which tells me it's not finding the class I'm looking for.
Here is the kicker: when I open the developer tools/HTML page source code, I can traverse the tree and find the class I am looking for.
Any ideas for why it's not being loaded. And can I load it into my python instance.
Thank you,
P.S. if any of my semantics/verbiage is incorrect please feel free to edit. I am not a webdev, just an enthusiast. >_<
I have built a program for summarization that utilizes a parser to parse from multiple websites at a time. I extract only <p> in each article.
This throws out a lot of random content that is unrelated to the article. I've seen several people who can parse any article perfectly. How can i do it? I am using Beautiful Soup
Might be worth you trying an existing package like python-goose which does what it sounds like you're asking for, extracting article content from web pages.
Your solution is really going to be specific to each website page you want to scrape, so, without knowing the websites of interest, the only thing I could really suggest would be to inspect the page source of each page you want to scrape and look if the article is contained in some html element with a specific attribute (either a unique class, id, or even summary attribute) and then use beautiful soup to get the inner html text from that element