Step 3: Classify links into folders and data files This function downloads a web page and parses the HTML content to filter the links contained in it. Tree = etree.parse(StringIO(html), parser=etree.HTMLParser()) Now, to create a list of links contained in a url, we can use the following function: def getLinks(url): Make sure to include those libraries: import requests We will be using requests for data download, and parsing HTML with StringIO and etree. Step 2: List all links from a web directory The requests library is pretty powerful and can handle various types of authentication. To do this, enter the following in a shell: cd ~Įcho "machine login username_goes_here password password_goes_here" >. In our example, we need to add a username and password for the host ‘’, which we got from EOSDIS. In Python, the ‘requests’ library will also read those credentials automatically. netrc file, which enables the use of command-line applications such as cURL or Wget. We can automate the login process with a. ![]() This are the URLs we want to fetch data from: baseurls = ['', We will be using some NASA websites as examples, but the process can be applied in general. ![]() In this post we will focus on how to write our own code to download data from HTTPS directory with folders and data files.
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