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canvas-student-data-export
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Update README.md

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@ -9,6 +9,8 @@ The tool exports all of the following data:
- Course Pages
- Course Files
- Course Modules
- SingleFile HTML of Assignments, Announcements, Discussions, Modules
The tool will export your data in JSON format, and will organize it nicely into folders named for every term of every year.
Example:
@ -47,7 +49,8 @@ To run the program, you will need the following dependencies:
`npm i github:gildas-lormeau/SingleFile`
You can install these dependencies using
`pip install -r requirements.txt` AND
`pip install -r requirements.txt`
AND
`npm i`
Then run from the command line:
@ -58,9 +61,12 @@ These are the configuration parameters for the program:
- Canvas API URL - this is the URL of your institution, for example `https://example.instructure.com`
- Canvas API key - this can be created by going to Canvas and navigating to `Account` > `Settings` > `Approved Integrations` > `New Access Token`
- Canvas User ID - this can be found at `https://example.instructure.com/api/v1/users/self` in the `id` field
- Path to Cookies File - file needs to be in netscape format, you can get your cookies via a tool like "Get Cookies.txt" by Rahul Shaw. This can also be left blank if an html images are unwanted.
- Directory in which to download course information to (will be created if not present)
- List of Course IDs that should be skipped
If single file fails to find your browser, you can set a path in singlefile.py. If you also want to run additional singlefile arguments that can also be done there.
### Loading credentials from a file
To avoid manually entering credentials every time you run the program, you can create a `credentials.yaml` file in the same directory as the script that has the following fields: