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Script for downloading videos and naming them.
HTML Python
branch: master

Merge pull request #335 from FedericoCeratto/tox

From @FedericoCeratto pull request:


Add Tox support for unit/functional testing. It help testing different versions of Python. already contains a target to run Tox.

The result.xml files can be parsed with


Thanks @FedericoCeratto for the contribution.
latest commit c0f56812cc
@rbrito rbrito authored

Coursera Downloader

Build Status Coverage Status

Coursera is arguably the leader in massive open online courses (MOOC) with a selection of more than 300 classes from 62 different institutions as of February 2013. Generous contributions by educators and institutions are making excellent education available to many who could not afford it otherwise. There are even non-profits with "feet on the ground" in remote areas of the world who are helping spread the wealth (see the feedback below from Tunapanda).

This script makes it easier to batch download lecture resources (e.g., videos, ppt, etc) for Coursera classes. Given one or more class names and account credentials, it obtains week and class names from the lectures page, and then downloads the related materials into appropriately named files and directories.

Why is this helpful? A utility like wget can work, but has the following limitations:

  1. Video names have numbers in them, but this does not correspond to the actual order. Manually renaming them is a pain that is best left for computers.
  2. Using names from the syllabus page provides more informative names.
  3. Using wget in a for loop picks up extra videos which are not posted/linked, and these are sometimes duplicates.

Browser extensions like DownloadThemAll is another possibility, but coursera-dl provides more features such as appropriately named files.

This work was originally inspired in part by youtube-dl by which I've downloaded many other good videos such as those from Khan Academy.


  • Intentionally detailed names, so that it will display and sort properly on most interfaces (e.g., MX Video, or VLC on Android devices).
  • Regex-based section (week) and lecture name filters to download only certain resources.
  • File format extension filter to grab resource types you want.
  • Login credentials accepted on command-line or from .netrc file
  • Core functionality tested on Linux, Mac and Windows.


coursera-dl 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."


coursera-dl requires Python 2 or Python 3 and a free Coursera account enrolled in the class of interest. (At present/May of 2014, we test automatically the execution of the program with Python versions 2.6, 2.7, Pypy, 3.2, 3.3, and 3.4).

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 coursera-dl.

Install any missing dependencies.

We strongly recommend that you consider installing Python packages with pip, as in it is the current preferred method. If you are using pip, you can directly install all the dependencies from the requirements file using pip install -r requirements.txt.

Recommended installation method for Unix systems

We strongly recommend that you install coursera-dl and all its dependencies in a way that does not interfere with the rest of your Python installation. This is accomplished by the creation of a virtual environment, or "virtualenv".

For the initial setup, in a Unix-like operating system, please use the following steps (create/adapt first the directory /directory/where/I/want/my/courses):

cd /directory/where/I/want/my/courses
virtualenv my-coursera
cd my-coursera
source bin/activate
git clone
cd coursera
pip install -r requirements.txt
./coursera-dl ...

To further download new videos from your classes, simply perform:

cd /directory/where/I/want/my/courses/my-coursera
source bin/activate
cd coursera
./coursera-dl ...

We are working on streamlining this whole process so that it is as simple as possible, but to support older versions of Python and to cope with Coursera disabling SSLv3, we have to take a few extra steps. In any case, it is highly recommended that you always install the latest version of the Python interpreter that you can.

Installing dependencies on your own

Warning: This method is not recommended unless you know what you are doing. Once again, before filing bug reports, if you installed the dependencies own your own, please check that the versions of your modules are at least those recommended in the requirements.txt file. The requirements.txt file is the official resource that we use as reference and support.

Yet once again, you may choose to install the dependencies yourself, but our users had issues that not all resources (videos etc.) were downloaded with versions of the dependencies different than those listed in the requirements.txt file.

In any case, you may want to install:

  • Beautiful Soup 4: Required. See also html5lib below.
    • Ubuntu/Debian: sudo apt-get install python-bs4
    • Mac OSX + MacPorts: sudo port install py-beautifulsoup4
    • Other: pip install beautifulsoup4
  • Argparse: Required (but you only need to install with Python 2.6)
    • Ubuntu/Debian: sudo apt-get install python-argparse
    • Other: pip install argparse
  • requests: Required.
    • Ubuntu/Debian: sudo apt-get install python-requests
    • Mac OSX + MacPorts: sudo port install py-requests
    • Other: pip install requests
  • six: Required.
    • Ubuntu/Debian: sudo apt-get install python-six
    • Mac OSX + MacPorts: sudo port install py27-six
    • Other: pip install six
  • html5lib: Not required, but recommended for parsing pages.
    • Ubuntu/Debian: sudo apt-get install python-html5lib
    • Mac OSX + MacPorts: sudo port install py-html5lib
    • Other: pip install html5lib
  • easy_install: Only necessary if not using prepackaged dependencies. Also, pip supersedes it.
    • Ubuntu/Debian: sudo apt-get install python-setuptools

Again, make sure that you have the versions mentioned in the file requirements.txt (later versions may be OK).

On Mac OSX using MacPorts, the following may be used:

> select --set python python27
> install py-beautifulsoup
> install py-argparse
> install py-setuptools
> install py-requests
> install py27-six

Create an account with Coursera

If you don't already have one, create a Coursera account and enroll in a class. See for the list of classes.

Running the script

Run the script to download the materials by providing your Coursera account credentials (e.g. email address and password or a ~/.netrc file), the class names, as well as any additional parameters:

General:                     coursera-dl -u <user> -p <pass> modelthinking-004
On-Demand course:            coursera-dl -u <user> -p <pass> --on-demand calculus1
Multiple classes:            coursera-dl -u <user> -p <pass> saas historyofrock1-001 algo-2012-002
Filter by section name:      coursera-dl -u <user> -p <pass> -sf "Chapter_Four" crypto-004
Filter by lecture name:      coursera-dl -u <user> -p <pass> -lf "3.1_" ml-2012-002
Download only ppt files:     coursera-dl -u <user> -p <pass> -f "ppt" qcomp-2012-001
Use a ~/.netrc file:         coursera-dl -n -- matrix-001
Get the preview classes:     coursera-dl -n -b ni-001
Specify download path:       coursera-dl -n --path=C:\Coursera\Classes\ comnetworks-002
Display help:                coursera-dl --help

Note: Some of the options like `-sf` and `-f` may not work with on-demand course.
Downloading on-demand courses are mutually exclusive with regular courses.

Maintain a list of classes in a dir:
  Initialize:              mkdir -p CURRENT/{class1,class2,..classN}
  Update:                  coursera-dl -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 On Demand classes. You have to use the option --on-demand for that purpose. You also have to download those classes separately for regular, time-based classes.

On *nix platforms, the use of a ~/.netrc file is a good alternative to specifying both your username (i.e., your email address) and password every time on the command line. To use it, simply add a line like the one below to a file named .netrc in your home directory (or the equivalent, if you are using Windows) with contents like:

machine coursera-dl login <user> password <pass>

Create the file if it doesn't exist yet. From then on, you can switch from using -u and -p to simply call coursera-dl with the option -n instead. This is especially convenient, as typing usernames (email addresses) and passwords directly on the command line can get tiresome (even more if you happened to choose a "strong" password).

NOTE: If your password contains punctuation, quotes or other "funny characters" (e.g., <, >, #, &, | and so on), then you may have to escape them from your shell. With bash or other Bourne-shell clones (and probably with many other shells) one of the better ways to do so is to enclose your password in single quotes, so that you don't run into problems. See issue #213 for more information.


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:<CLASS_NAME>/class/index

  • To download an On Demand course, use the --on-demand option of the program.

  • 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.

  • Make sure you have installed and/or updated all of your dependencies according to the requirements.txt file as described above.

  • One can export a Netscape-style cookies file with a browser extension (1, 2) 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).

  • If results show 0 sections, you most likely have provided invalid credentials (username and/or password in the command line or in your .netrc file).

  • 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 -b parameter.

  • If you are using Beautiful Soup 4, make sure you have installed html5lib:

      $ python
      >>> import html5lib
      >>> print(html5lib.__version__)
  • If you get an error like Could not find class: <CLASS_NAME>:

    • Verify that the name of the course is correct. Current class names in coursera are composed by a short course name e.g. 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.
    • Second, verify that you are enrolled in the course. You won't be able to access the course materials if you are not officially enrolled and agreed to the honor course via the website.
  • If:

    • You get an error when using -n to specify that you want to use a .netrc file and,
    • You want the script to use your default netrc file and,
    • You get a message saying coursera-dl: error: too few arguments

    Then you should specify -- as an argument after -n, that is, -n -- or change the order in which you pass the arguments to the script, so that the argument after -n begins with an hyphen (-). Otherwise, Python's argparse module will think that what you are passing is the name of the netrc file that you want to use. See issue #162.

Filing an issue/Reporting a bug

When reporting bugs against coursera-dl, please don't forget to include enough information so that you can help us help you:

  • Is the problem happening with the latest version of the script?
  • What operating system are you using?
  • Do you have all the recommended versions of the modules? See them in the file requirements.txt.
  • What is the course that you are trying to access?
  • What is the precise command line that you are using (feel free to hide your username and password with asterisks, but leave all other information untouched).
  • What are the precise messages that you get? Please, use the --debug option before posting the messages as a bug report. Please, copy and paste them. Don't reword/paraphrase the messages.


I enjoy getting feedback. Here are a few of the comments I've received:

  • "Thanks for the good job! Knowledge will flood the World a little more thanks to your script!"
    Guillaume V. 11/8/2012

  • "Just wanted to send you props for your Python script to download Coursera courses. I've been using it in Kenya for my non-profit to get online courses to places where internet is really expensive and unreliable. Mostly kids here can't afford high school, and downloading one of these classes by the usual means would cost more than the average family earns in one week. Thanks!"
    Jay L., Tunapanda 3/20/2013

  • "I am a big fan of Coursera and attend lots of different courses. Time constraints don't allow me to attend all the courses I want at the same time. I came across your script, and I am very happily using it! Great stuff and thanks for making this available on Github - well done!"
    William G. 2/18/2013

  • "This script is awesome! I was painstakingly downloading each and every video and ppt by hand -- looked into wget but ran into wildcard issues with HTML, and then.. I came across your script. Can't tell you how many hours you've just saved me :) If you're ever in Paris / Stockholm, it is absolutely mandatory that I buy you a beer :)"
    Razvan T. 11/26/2012

  • "Thanks a lot! :)"
    Viktor V. 24/04/2013


Post bugs and issues on github. Send other comments to Rogério Brito (the current maintainer): first last at ime dot usp dot br (twitter: @rtdbrito) or to John Lehman (the original author): first last at geemail dotcom (twitter: @jplehmann).

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