Downloads Canvas modules/files into a local directory.
Project description
canvas-download
canvas-download downloads Canvas modules/files into a local directory for offline access. A file called 'login.json' under the '.config' directory will be created during the first run of the utility, which will require you to fill out the details of your Canvas login credentials. In the second run of the application, '.config/courses.json' will be created by the application and allows you to choose whether to download "files" or "modules" for each course. After those details are filled out, you can simply call 'canvas-download' in the terminal to start the process of downloading files from Canvas.
How to install
pip install canvas-download
Support
If you encounter any particular issue with this application, feel free to reach out by opening an issue.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file canvas_download-1.1.7.tar.gz.
File metadata
- Download URL: canvas_download-1.1.7.tar.gz
- Upload date:
- Size: 3.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
02f85cd05b75f94b6da4522bd7e31531268d2c85aeca6c827c669e1e58d3577c
|
|
| MD5 |
8bda392e4969fe7541dd279c7cc0f775
|
|
| BLAKE2b-256 |
f0788e914bf92938eb914ac68455241f6fb0c56e513bad71c792087ace5a7478
|
File details
Details for the file canvas_download-1.1.7-py3-none-any.whl.
File metadata
- Download URL: canvas_download-1.1.7-py3-none-any.whl
- Upload date:
- Size: 4.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5cd56b093cd0884b2656b9eb27059d5615a2de2eabce1b1bf163273cfa9bb56c
|
|
| MD5 |
795ae61dcbc09e5d9b44950d1d7508f2
|
|
| BLAKE2b-256 |
13907ec3981c57fece25da425c3e0b1fc48bb806123e361161a60a1629b30233
|
