datacamp-downloader 3.3

Download your completed courses on Datacamp easily!

Datacamp Downloader

Table of Contents

• Datacamp Downloader
  • Table of Contents
  • Description
  • Installation
    • PIP
    • From source
    • Autocompletion
  • Documentation
  • Getting Started
    • Login
    • Download
  • User Privacy
  • Disclaimer

Update

Datacamp Downloader V3.2 is now available. The major change is that the tool now uses selenium for the backend. See changelog for version 3.0, 3.1 and 3.2.

Description

Datacamp Downloader is a command-line interface tool developed in Python in order to help you download your completed contents on Datacamp and keep them locally on your computer.

Datacamp Downloader helps you download all videos, slides, audios, exercises, transcripts, datasets and subtitles in organized folders.

The design and development of this tool was inspired by udacimak

Datacampers!

If you find this CLI helpful, please support the developers by starring this repository.

Installation

PIP

If you use pip, you can install datacamp-downloader with:

pip install datacamp-downloader

From source

You can directly clone this repo and install the tool with:

pip install git+https://github.com/TRoboto/datacamp-downloader.git

Autocompletion

To allow command autocompletion with [TAB][TAB], run:

datacamp --install-completion [bash|zsh|fish|powershell|pwsh]

Then restart the terminal.

Note: autocompletion might not be supported by all operating systems.

Documentation

The available commands with full documentation can be found in docs

Getting Started

Login

• To login using your username or password, run:

datacamp login -u [USERNAME] -p [PASSWORD]

or simply run:

datacamp login

• To login using Datacamp authentication token, run:

datacamp set-token [TOKEN]

Datacamp authentication token can be found in Datacamp website browser cookies. To get your Datacamp authentication, follow these steps:

Firefox

1. Visit datacamp.com and log in.
2. Open the Developer Tools (press Cmd + Opt + J on MacOS or F12 on Windows).
3. Go to Storage tab, then Cookies > https://www.datacamp.com
4. Find _dct key, its Value is the Datacamp authentication token.

Chrome

1. Visit datacamp.com and log in.
2. Open the Developer Tools (press Cmd + Opt + J on MacOS or F12 on Windows).
3. Go to Application tab, then Storage > Cookies > https://www.datacamp.com
4. Find _dct key, its Value is the Datacamp authentication token.

---

Security Note

Datacamp authentication token is a secret key and is unique to you. You should not share it publicly.

---

If you provided valid credentials, you should see the following:

Hi, YOUR_NAME
Active subscription found

Active subscription is not required anymore.

Download

First, you should list your completed courses/track.

To list your completed courses, run:

datacamp courses

To list your completed tracks, run:

datacamp tracks

Similar output to this should appear with your completed courses/tracks:

+--------+------------------------------------------+------------+------------+------------+
| ID     | Title                                    | Datasets   | Exercises  | Videos     |
+--------+------------------------------------------+------------+------------+------------+
| 1      | Introduction to Python                   | 2          | 46         | 11         |
+--------+------------------------------------------+------------+------------+------------+
| 2      | Introduction to SQL                      | 1          | 40         | 1          |
+--------+------------------------------------------+------------+------------+------------+
| 3      | Intermediate Python                      | 3          | 69         | 18         |
+--------+------------------------------------------+------------+------------+------------+
| 4      | Introduction to Data Science in Python   | 0          | 31         | 13         |
+--------+------------------------------------------+------------+------------+------------+
| 5      | Data Science for Everyone                | 0          | 33         | 15         |
+--------+------------------------------------------+------------+------------+------------+
| 6      | Joining Data in SQL                      | 3          | 40         | 13         |
+--------+------------------------------------------+------------+------------+------------+
| 7      | Data Manipulation with pandas            | 4          | 41         | 15         |
+--------+------------------------------------------+------------+------------+------------+
| 8      | Supervised Learning with scikit-learn    | 7          | 37         | 17         |
+--------+------------------------------------------+------------+------------+------------+
| 9      | Machine Learning for Everyone            | 0          | 25         | 12         |
+--------+------------------------------------------+------------+------------+------------+
| 10     | Python Data Science Toolbox (Part 1)     | 1          | 34         | 12         |
+--------+------------------------------------------+------------+------------+------------+

Now, you can download any of the courses/tracks with:

datacamp download id1 id2 id3

For example to download the first and second course, run:

datacamp download 1 2

• To download all your completed courses, run:

datacamp download all

• To download all your completed tracks, run:

datacamp download all-t

This by default will download videos, slides, datasets, exercises, english subtitles and transcripts in organized folders in the current directory.

To customize this behavior see datacamp download command in the docs.

User Privacy

datacamp creates a session file with your credentials saved in the temp folder. If you no longer need to use the tool, it is preferable to reset the session, which will remove the saved file, with:

datacamp reset

Disclaimer

This CLI is provided to help you download Datacamp courses/tracks for personal use only. Sharing the content of the courses is strictly prohibited under Datacamp's Terms of Use.

By using this CLI, the developers of this CLI are not responsible for any law infringement caused by the users of this CLI.