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JBL Flashcard Scraper

Scrape flashcards from the Jones-Bartlett Learning platform using Selenium.

Usage:

The program has no real user interface. As of now it is just a script with hard-coded values.

To use the script, fill in the cookies and course_block_url variables with cookies from your own navigate2 session and the course's navigate2 homepage, respectively.

When you run the script, python JBLScraper.py, it should produce the the following files: results.csv : CSV formatted file with all Question,Answer for all chapters results.json : JSON array of {question : , answer: } objects Chapter*.csv : CSV file for each chapter available with the flashcards for that chapter

This script will use Selenium to iterate through all of the chapters and scrape out the questions, then use the requests library to find the answers to each question.

Once you have the csv files, you can use the ankiconvert script to parse the raw Question,Answer data into Anki decks / an Anki package. Again - this script is hardcoded and you need to replace the variables with what you want.

Dependencies / Environment:

I recommend using the virtualenv package to automatically install all dependencies in the requirements.txt

You will also need geckodriver in your $PATH (ie. you need to be able to run geckodriver from your shell)

virtualenv --python=python3 environment

source environment/bin/activate

pip install -r requirements.txt

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Scrape flashcards from jblearning textbooks

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