bgillcode/CollectiveCurrent

Tool to retrieve information and store images from online sources in their respective folders. Additional parsing options: choose chapters that are wanted, add an optional time delay.

CollectiveCurrent

Retrieve and store all images for chapters, pass in the URL of the series wanted to be downloaded and all images will be saved into their respective chapter folders.

Parameters:

Required parameters:

Name of paramater	Shorthand name of parameter	Description	Example
--url	-u	Set URL to retrieve the images from. This needs to be the URL which list all of the chapters.	--url http://www.url.of.series.to.retrieve

Optional parameters:

Name of paramater	Shorthand name of parameter	Description	Example
--startrange	-s	Set the number to START the range from for the chapter.	--startrange 1 this will start the count to retrieve from chapter 1. If set to 3 it will start downloading from chapter 3.
--endrange	-e	Set the number to END the range from for the chapter.	--endrange 5 this will get all of the chapters from the startrange set up to 5. If set to 10, it will retrieve all images from for all of the chapters within the range up to chapter 10.
--timedelay	-t	Set the time delay for retrieving each chapter.	--timedelay 20 if you want to wait 20 seconds between each chapter.

Note that all Help options can be displayed using:

python collective_current.py --help

Requirements:

Python 3

Example usage for CollectiveCurrent:

python collective_current.py --url http://www.url.of.series.to.retrieve --startrange 1 --endrange 5 --timedelay 5

Set up a virtual environment for CollectiveCurrent:

Mac OSX, Linux:

python3 -m venv venv

Then to activate it (make sure you are in the main project folder):

source venv/bin/activate

OR:

Windows:

python -m venv venv

Then to activate it (make sure you are in the main project folder):

venv\Scripts\activate

Install requirements.txt:

pip3 install -r requirements.txt

or

pip install -r requirements.txt --user