With Python's open-source Beautiful Soup library, you can get data by scraping any part or element of a webpage with maximum control over the process. However, if you're new to Python and web scraping, Python's Beautiful Soup library is worth trying out for a web scraping project. There are also third-party modules named urllib3 and requests (which uses urllib3) but these aren't in the Python standard library nor will they be added to it. You need data for several analytical purposes. In Python 3, there is a new module just called urllib.
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The urllib2 module in Python 2 had additional features and was added in Python 1.6. Pandas how to find column contains a certain value Recommended way to install multiple Python versions on Ubuntu 20.04 Build super fast web scraper with Python x100 than BeautifulSoup How to convert a SQL query result to a Pandas DataFrame in Python How to write a Pandas DataFrame to a. The urllib module in Python 2 was the original downloading module in the Python standard library added in Python 1.2. with open ( filename, 'wb' ) as fileObj : fileObj. split ( '/' ) # Use the filename from the url. read () # Replace foo.jpg with the local filename you want to use: filename = url. requestObj = Request ( '', headers = ) responseObj = urlopen ( requestObj ) content = responseObj. Replace this with the page you want to download. Downloading as text data is required if you want to store the webpage or file to a string, and take advantage of the many available string functions such as split() and find() to process the data.
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# '' is a website that returns simple info about your request. version_info = 2 : # Python 2 from urllib2 import Request, urlopen # Supply a user-agent header of a common browser, since some web servers will refuse to reply to scripts without one. version_info = 3 : # Python 3 from urllib.request import Request, urlopen elif sys.