This small project is helpful for downloading Coursera courses into your Google Drive via Google Colab. You can use it with given instruction below or given Jupyter Notebook file easily. This module makes it easier to mount your google drive and download all enrolled courses from Coursera.
All enrolled courses can be downloaded by the methods given below,(For more detailed explanations, see the section ''Usage''.)
- Calling download() function,
- Making a list that includes the course names,
- Reading from a text file that contains the course names,
An overview of CGDD via Google Colab,how to download and use,some basic tips ,explanations and more.
- Coursera-dl Package ( version>=0.11.0 )
- You have to use Google Colab.
- If you have never experienced it , then I strongly recommend you to use this powerful and free platform.
You can download it by using the command below in your terminal.
pip install Coursera-GDrive
If you don't want to waste your time to read this documentation, then just download Jupyter Notebook file, follow the instructions in the given file and run it on your Google Colab.
First of all, you have to know the basics of Python to understand the given instructions below.
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from coursera_gdrive import CourseraDownloader downloader = CourseraDownloader() -
- If downloader can't find given folder, it will automatically creates itself.
from coursera_gdrive import CourseraDownloader downloader = CourseraDownloader(<folder-name>) # Example: # downloader = CourseraDownloader("coursera_files")
Before we go further, we must authenticate ourselves first. For that purpose, we need to CAUTH token which is using for one of the main authentication method by Coursera.
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If you are looking for an easy solution, you can install this Browser Extension to find your CAUTH token easily.
- First login to
coursera.orgin your web browser : - For example, in chrome, Go to settings
- Advanced
- Privacy and Security
- Site Settings
- Cookies and Site Data
- See all cookies and site data
- coursera.org -> CAUTH
- Copy the content and Paste to <cauth-token>
cauth = <cauth-token> # Example: # cauth = "t-w_itR2tML6ZWA_myKtQeC0JO97SJFkh3PgatWw32t4nrlZrHKsfe2sw" - First login to
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downloader.login(cauth)
Last one step before download, if you want to see some useful courses list, you have to read this section.
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downloader.printEnrolledCourses() # Prints all enrolled Courses. -
downloader.printAllCourses() # Prints all courses in Coursera.
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There is a new method to do that "setSubtitles". Default subtitle languages is "all". If you don't use this method, downloader will download all the available subtitle languages.
downloader.setSubtitles("<language-tag>") # Example: downloader.setSubtitles("fr") # If subtitles is available in French, downloader will download it. # If the entered language is not available, then it will try to download alternative subtitle language (Default alternative language is English).- There is a method to help you. "showLanguages"
downloader.showLanguages() # Gives the list of 2 character language codes of some widely used languages. # There may be other codes that is used in Coursera. # To learn more, https://en.wikipedia.org/wiki/List_of_ISO_639-1_codesdownloader.setSubtitles("<language-tag1>","<language-tag2">,...) # Example: downloader.setSubtitles("fr","de","tr") # If subtitles is available in French, German and Turkish, downloader will download them all. # If any or all entered language is not available, then it will try to download alternative subtitle language (Default alternative language is English).downloader.setSubtitles("<language-tag>|<alt-lang-tag>") # Example: downloader.setSubtitles("fr|de") downloader.setSubtitles("fr|de","tr|it","az") # Multiple Subtitles # If subtitles is available in French, downloader will download it. Else it will try to download subtitles in German. Furthermore, if the alternative language is not also available, it will try to download English subtitles.downloader.set(downloader.setSubtitles("<language-tag>", commonAlternative = "<language-tag>") downloader.setSubtitles("<language-tag1>","<language-tag2">,..., commonAlternative = "<language-tag>") # Example: downloader.setSubtitles("fr", commonAlternative = "de") downloader.setSubtitles("fr","de","tr|en" , commonAlternative = "it") -
It's very straight forward. Just call the download method.
downloader.download() # Downloads all enrolled courses. -
Make sure that the class name you are using corresponds to the resource name used in the URL for that class:
https://www.coursera.org/learn/<course-name>/home/welcomeExample:
https://www.coursera.org/learn/algorithmic-toolbox/home/welcomedownloader.download("<course-name>") # Downloads just <course-name>. # Example: # downloader.download("algorithmic-toolbox") -
There are several methods to download multiple courses easily.
downloader.download("<course1>","<course2>","<course3>",...) # Downloads all the given courses. # Example: # downloader.download("algorithmic-toolbox","crypto","iot","python-ar")course_list = ["<course1>","<course2>","<course3>",...] downloader.download(course_list) # Downloads all courses in python list. # Example: # course_list = ["algorithmic-toolbox","crypto","iot","python-ar"] # downloader.download(course_list)Make sure that,
- Course names in text file are separated by a newline.
- Text file is in the save folder. ( Default: COURSERA )
downloader.download("<courselist.txt>") # Downloads all courses in text file. # Example: # downloader.download("course_list.txt")course_list = ["<course-x>","<course-y>","<course-z>",...] downloader.download("<course1>","<course2>","<course3>","<courselist.txt>",course_list) # Downloads all the given courses, courses in text file and courses in python list.
Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.
See also the list of contributors who are participated in this project.
This project is licensed under the GNU General Public License v3.0 - see the LICENSE file for details.
- Thanks to Coursera Download project for letting me to make this project real.