How do you scrape a URL in Python?

The following code: import urllib2.

urllib2.urlopen(') gives me this error: Traceback (most recent call last): File "G:test.py", line 3, in urllib2.urlopen(') File "C:Python25liburllib2.py", line 158, in urlopen return opener.open(url, data, timeout) File "C:Python25liburllib2.py", line 417, in open response = self.open(req, data) File "C:Python25liburllib2.py", line 447, in open 'open', req). File "C:Python25liburllib2.py", line 1206, in https context=self.sslctx, request=req) File "C:Python25libcertifisslcertificates.py", line 1323, in dohandshake assert handshake.status == 0 AssertionError. I want to scrape some webpages from different URLs. To start, I want to get the URL. There are many ways of doing that, depending on the language/framework one uses, but what way would work with Python's urllib2.urlopen() method?

I suspect your problem is the lack of open function and the assert. From urllib2 API documentation we can see that there is a open function under the https object: class HTTPSConnectionPool(object): """For this, see HTTPConnectionPool""". .

How to scrape data from a website on GitHub?

A site that is using GitHub Pages can be scraped, the trick is to look for the text GitHub Pages under the Host column.

Why do we need to scrape the site? The web crawlers do not usually crawl GitHub Pages because there is no dynamic content. Therefore, it is difficult to extract information from the pages with just a regular crawler.

Here are some of the benefits of scraping GitHub Pages: It helps you identify new projects and interesting links related to the GitHub projects. It is easier to use for those who are interested in scraping GitHub Pages (like me). In other words, a regular crawler may require a lot of time, but this is a one-time task.

A regular crawler may require a lot of time, but this is a one-time task. You can get valuable information, including GitHub links, issues, pull requests, users and comments.

You can extract data from a static page, like the number of commits, the number of open issues, the number of open pull requests and more. Let's start! I have downloaded a sample GitHub page. The full file is here: I want to scrape the homepage: .

We need to figure out which HTML tag is a good fit for our purpose. You can search the code with your favorite text-search tool. In my case, I have used the Chrome browser extension XRay. It will automatically highlight the element when you focus on the element.

Here are the findings. You will notice that the > sign is used for the tag