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Kindle Clippings

Parse the My Clippings.txt file that is stored on your Amazon Kindle which contains highlights you've made across all of the books you've read.

Usage

positional arguments:
  input                 Input filename
  output                Output filename

optional arguments:
  -h, --help            show this help message and exit
  -t TITLE, --title TITLE
                        The title of the book you're interested in( or part of it )
  -sT STARTING_TIME, --starting-time STARTING_TIME
                        The starting date for your (new) notes. Notes with older timestamps will be omitted. Defaults to /the beginning/, (i doubt you'll go somewhere that back in time). To be given in isoformat
  -eT ENDING_TIME, --ending-time ENDING_TIME
                        The ending date for your (old) notes. Notes with newer timestamps will be ommited. Defaults to the present. To be given in isoformat
  -W                    Output HTML
  -O                    Output OrgMode

Usage example

Feel free to run them with the given example input

Output Types

Default output is plaintext

python cli.py 'My Clippings.txt' 'output.txt'

Generating HTML instead

python cli.py 'My Clippings.txt' 'output.html' -W

Generating Org-Mode

python cli.py 'My Clippings.txt' -O 'output.org'

Filtering by Book title

python cli.py 'My Clippings.txt' -O 'output.org' --title "Black Edge"

Filtering by time

These last examples do not work with the provided input, they just show how the time parameters should be used:

By starting time: python cli.py 'My Clippings.txt' -O 'output.org' -sT '2021-04-14'

By /ending/ time: python cli.py 'My Clippings.txt' -O 'output.org' -eT '2022-04-14'

Using both start and end time: python cli.py 'My Clippings.txt' -O 'output.org' -sT '2021-04-14' -eT '2022-04-14'

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Parse Amazon Kindle's 'My Clippings.txt' file

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  • Python 93.0%
  • HTML 7.0%