D/L Lectures/Data from Canvas
Project description
- # CanvasScraper (Lecture Downloader)
[![pipeline status](https://gitlab.com/stucamp/canvasscraper/badges/master/pipeline.svg)](https://gitlab.com/stucamp/canvasscraper/commits/master) [![coverage report](https://gitlab.com/stucamp/canvasscraper/badges/master/coverage.svg)](https://gitlab.com/stucamp/canvasscraper/commits/master)
### Description
A simple program that facilitates the downloading of course materials hosted on Canvas Online Learning Platform. Using Google Chrome (chromedriver) or Firefox (geckodriver), either with or without GUI, after logging-in, it will traverse your courses, finding video links and download them as videos you can watch off-line or mp3 for you to listen on the go.
### Installation
To install the library, run:
pip3 install canvasscraper
### Configuration
Then either call it in your code like so:
from canvasscraper.fileops import XXXX from canvasscraper.objects import XXXX
Or run it as a CLI program using (coming soon):
-b broswer -gui is flagged will show browser as functions -up username password -sch school subdomain asu by default
There will options for the output directory structure, saving of URL list, potentially saving of slide, and maybe even page text saved to file.
This is an example of download file structure/options:
### Requirements
https://github.com/shadowmoose/pyderman
https://github.com/SeleniumHQ/selenium
https://github.com/ytdl-org/youtube-dl
### Useful Resources
Project details
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
File details
Details for the file CanvasScraper-0.5.6.dev0.tar.gz
.
File metadata
- Download URL: CanvasScraper-0.5.6.dev0.tar.gz
- Upload date:
- Size: 10.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/43.0.0 requests-toolbelt/0.9.1 tqdm/4.28.1 CPython/3.8.1
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8b39bac742fd54603ef8e042048f50231a8e96ae1c2675e2cd88028c4323fe57 |
|
MD5 | 2dae687850fa7e3709063e178de97099 |
|
BLAKE2b-256 | 3d024eb7bd490a90ba469e132bdd5d86a9f971597f2cd48fca28cf18221cb64f |