This is a fork of coursera-dl that works with modern Python and modern coursera.org, with added features and patches.
This script makes it easier to batch download lecture resources (e.g., videos, ppt, etc) for Coursera classes. Given one or more class names, it obtains week and class names from the lectures page, and then downloads the related materials into appropriately named files and directories.
This work was originally inspired in part by [youtube-dl][3] by which I've downloaded many other good videos such as those from Khan Academy.
coursera-dl.conf file.cs-dlp is meant to be used only for your material that Coursera gives
you access to download.
We do not encourage any use that violates their Terms Of Use. A relevant excerpt:
"[...] Coursera grants you a personal, non-exclusive, non-transferable license to access and use the Sites. You may download material from the Sites only for your own personal, non-commercial use. You may not otherwise copy, reproduce, retransmit, distribute, publish, commercially exploit or otherwise transfer any material, nor may you modify or create derivatives works of the material."
cs-dlp requires Python 3 and a Coursera account enrolled in the class of interest.
Note: cs-dlp is not compatible with Python 2.
On any operating system, ensure that the Python executable location is added
to your PATH environment variable and, once you have the dependencies
installed (see next section), for a basic usage, you will need to invoke
the script from the main directory of the project and prepend it with the
word python. You can also use more advanced features of the program by
looking at the "Running the script" section of this document.
Note: You must already have (manually) agreed to the Honor of Code of the
particular courses that you want to use with cs-dlp.
From a command line (preferably, from a virtual environment), simply issue the command:
git clone https://github.com/raffaem/cs-dlp
cd cs-dlp
python -m pip install --user .Note 1: We strongly recommend that you don't install the package
globally on your machine (i.e., with root/administrator privileges), as the
installed modules may conflict with other Python applications that you have
installed in your system. Prefer to use the option --user to pip install.
cs-dlp does not currently have an AUR package. Help welcome!
If you don't already have one, create a [Coursera][1] account and enroll in a class. See https://www.coursera.org/courses for the list of classes.
To authenticate with Coursera, you need a CAUTH cookie.
There are currently two supported ways to do so: you can have cs-dlp get it automatically from your browser, or you can pass one manually.
Automatic way
Call cs-dlp with --cauth-auto browser option.
Valid options for browser are:
chrome for Google Chromechromiumoperaopera_gxbraveedgevivaldifirefoxlibrewolfsafariManual way
Pass a CAUTH cookie to the --cauth option.
Refer to cs-dlp --help for a complete, up-to-date reference on the runtime options
supported by this utility.
Run the script to download the materials by providing your Coursera CAUTH cookie, the class names, as well as any additional parameters:
cs-dlp --cauth-auto chrome modelthinking-004Here are some examples of how to invoke cs-dlp from the command line:
Multiple classes: cs-dlp --cauth-auto chrome saas historyofrock1-001 algo-2012-002
Filter by section name: cs-dlp --cauth-auto chrome -sf "Chapter_Four" crypto-004
Filter by lecture name: cs-dlp --cauth-auto chrome -lf "3.1_" ml-2012-002
Download only ppt files: cs-dlp --cauth-auto chrome -f "ppt" qcomp-2012-001
Get the preview classes: cs-dlp --cauth-auto chrome -b ni-001
Download videos at 720p: cs-dlp --cauth-auto chrome --video-resolution 720p ni-001
Specify download path: cs-dlp --cauth-auto chrome --path=C:\Coursera\Classes\ comnetworks-002
Display help: cs-dlp --help
Maintain a list of classes in a dir:
Initialize: mkdir -p CURRENT/{class1,class2,..classN}
Update: cs-dlp -n --path CURRENT `\ls CURRENT`Note: If your ls command is aliased to display a colorized output, you
may experience problems. Be sure to escape the ls command (use \ls) to
assure that no special characters get sent to the script.
Note that we do support the New Platform ("on-demand") courses.
By default, videos are downloaded at 540p resolution. For on-demand courses, the
--video-resolution flag accepts 360p, 540p, and 720p values.
To download just the .txt and/or .srt subtitle files instead of the videos,
use --ignore-formats mp4 --subtitle-language en or whatever format the videos
are encoded in and desired languages for subtitles.
If you want to store your preferred parameters,
create a file named coursera-dl.conf
where the script is supposed to be executed, with the following format:
--subtitle-language en,zh-CN|zh-TW
--download-quizzes
#--mathjax-cdn https://cdn.bootcss.com/mathjax/2.7.1/MathJax.js
# more other parametersParameters which are specified in the file will be overriden if they are provided again on the commandline.
Note: In coursera-dl.conf, all the parameters should not be wrapped
with quotes.
In default mode when you interrupt the download process by pressing
CTRL+C, partially downloaded files will be deleted from your disk and
you have to start the download process from the beginning. If your
download was interrupted by something other than KeyboardInterrupt
(CTRL+C) like sudden system crash, partially downloaded files will
remain on your disk and the next time you start the process again,
these files will be discarded from download list!, therefore it's your
job to delete them manually before next start. For this reason we
added an option called --resume which continues your downloads from
where they stopped:
cs-dlp --cauth-auto chrome --resume sdn1-001This option can also be used with external downloaders:
cs-dlp --cauth-auto chrome --wget --resume sdn1-001Note 1: Some external downloaders use their own built-in resume feature which may not be compatible with others, so use them at your own risk.
Note 2: Remember that in resume mode, interrupted files WON'T be deleted from your disk.
If you have problems when downloading class materials, please try to see if one of the following actions solve your problem:
Make sure the class name you are using corresponds to the resource name
used in the URL for that class:
https://www.coursera.org/learn/<CLASS_NAME>/home/welcome
Have you tried to clean the cached cookies/credentials with the
--clear-cache option?
Note that many courses (most, perhaps?) may remove the materials after a
little while after the course is completed, while other courses may retain
the materials up to a next session/offering of the same course (to avoid
problems with academic dishonesty, apparently).
In short, it is not guaranteed that you will be able to download after the
course is finished and this is, unfortunately, nothing that we can help
you with.
One can export a Netscape-style cookies file with a browser extension ([1][9], [2][10])
and use it with the -c option. This comes in handy
when the authentication via password is not working (the authentication
process changes now and then).
For courses that have not started yet, but have had a previous iteration
sometimes a preview is available, containing all the classes from the last
course. These files can be downloaded by passing the --preview
parameter.
If you get an error like Could not find class: <CLASS_NAME>, then:
class and
the current version of the course (a number). For example, for a
class named class, you would have to use class-001, class-002
etc.If you are from China and you're having problems downloading videos, adding "52.84.167.78 d3c33hcgiwev3.cloudfront.net" in the hosts file (/etc/hosts) and freshing DNS with "ipconfig/flushdns" may work (see https://github.com/googlehosts/hosts for more info).
First of all, make sure you are enrolled to the course you want to download.
Many old courses have already closed enrollment so often it's not an
option. In this case, try downloading with --preview option. Some
courses allow to download lecture materials without enrolling, but
it's not common and is not guaranteed to work for every course.
Finally, you can download the videos if you have, at least, the index
file that lists all the course materials. Maybe your friend who is enrolled
could save that course page for you. In that case use the --process_local_page
option.
Alternatively you may want to try this various browser extensions designed for this problem.
If none of the above works for you, there is nothing we can do.
cs-dlp supports external downloaders but note that they are only used to
download materials after the syllabus has been parsed, e.g. videos, PDFs, some
handouts and additional files (syllabus is always downloaded using the internal
downloader). If you experience problems with downloading such materials, you may
want to start using external downloader and configure its timeout values. For
example, you can use aria2c downloader by passing --aria option:
cs-dlp --cauth-auto chrome --path . --aria2 <course-name>And put this into aria2c's configuration file ~/.aria2/aria2.conf to reduce
timeouts:
connect-timeout=2
timeout=2
bt-stop-timeout=1Timeout configuration for internal downloader is not supported.
If you're on Windows behind a proxy, set up the environment variables before running the script as follows:
set HTTP_PROXY=http://host:port
set HTTPS_PROXY=http://host:portRelated discussion: #205
MathJax.jsWhen saving a course page, we enabled MathJax rendering for math equations, by
injecting MathJax.js in the header. The script is using a cdn service provided
by mathjax.org. However, that
url is not accessible in some countries/regions, you can provide a
--mathjax-cdn <MATHJAX_CDN> parameter to specify the MathJax.js file that is
accessible in your region.
Before reporting any issue please follow the steps below:
Verify that you are running the latest version of the script
If the problem persists, feel free to open an issue in our bugtracker, please fill the issue template with as much information as possible.
You can support the project by sponsoring me: