Skip to content

Script to help create Anki flashcards from Duolingo.

License

Notifications You must be signed in to change notification settings

timotheeandres/duolingo_scraper

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

7 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Duolingo scraper for Anki flashcards

First of all, a quick disclaimer: this script doesn't actually create Anki flashcards. It creates a <language>.tsv file which you can then import into Anki.

Basically, it takes the list of words you've learned and retrieves their definition which it writes into a spreadsheet.

You are free to modify and share the script as you wish (see license). However, note that if you change it, the Anki template (Template.apkg) will probably not be valid anymore.

Last updated: 21/06/2021

Initialising

Made using Python 3.8.5

Import Template.apkg into Anki to have the card template. The code will not work if you try to download media without having Anki installed.

On Linux / OS X

Run pip install -r requirements.txt

On Windows 10

Run py -m pip install -r requirements.txt

On Windows < 10

Run python3 -m pip install -r requirements.txt

Running

Run the script and follow the instructions (I have tried to make them as clear as possible).

On Linux / OS X

python scrape_duo.py

On Windows 10

py scrape_duo.py

On Windows < 10

python3 scrape_duo.py

Importing into Anki

Open Anki, click "Import File" and choose the resulting <language>.tsv file.

Set the card Type to duolingo (from the Template), and select your target deck; fields should be separated by Tab.

Make sure the "Allow HTML in fields" option is checked or you won't have audio and images.

Unless you modified the script or did not use the default fields when running the script, the field mapping should be done automatically.

Now you can just import and practice!

About

Script to help create Anki flashcards from Duolingo.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%