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Wuddz-Lit Is An Awesome & Quite Efficient Literotica.com Author/Category/Audio/Illustration Stories Downloader.

Project description

Wuddz Literotica Story Downloader

Description

  • Wuddz-Lit Is An Awesome & Quite Efficient Literotica.com Author/Category/Audio/Illustration Stories Downloader.

Prerequisites

  • Python : 3.7

Installation

Install using PyPI:

pip install wuddz-lit

Install locally by cloning or downloading and extracting the repo, then cd into 'dist' directory and execute:

pip install wuddz_lit-1.0.3.tar.gz

Then to run it, execute the following in the terminal:

wudz-lit

Usage

Download Stories In "C:\file.txt" File As Html Using 100 Threads:

wudz-lit -f "C:\\file.txt" -s -d -x 100

Parse 1 Page Of Erotic-Couplings (6 In Docstring) Category Stories & Download As Text:

wudz-lit -f 6 -c -d -i

Save All Specified Author (Uid/Name) Story Titles To Text File Using 120 Threads:

wudz-lit -f author -a -x 120

Parse 2 Pages Of Stories With "milf" Tag Starting From Page 5 & Download As Text

wudz-lit -t milf -d -n 2 -ns 5 -i

Parse 2 Pages Of Mature-Sex Category Stories With "milf" Tag & Download As Html

wudz-lit -f mature-sex -c -t milf -d -n 2

Download Specified Story As Html To "C:\Lit" Output Folder

wudz-lit -f story -s -d -o "C:\\Lit"

Library

Save All Author WillyWin Story Titles To Text File In Default Output Directory List Folder & Store List In 's' Variable.

>>> from wuddz_lit import lit
>>> l = lit.LitErotica()
>>> s = l.author('WillyWin')

Download 'what-shapes-us' Story To "C:\Literotica" Directory.

>>> from wuddz_lit import lit
>>> d = "C:\Literotica"
>>> l = lit.LitErotica()
>>> l.story('what-shapes-us', d)

Contact Info:

Buy Me A Coffee!!

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  • BTC: bc1qa7ssx0e4l6lytqawrnceu6hf5990x4r2uwuead

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  • DOGE: DFwLwtcam7n2JreSpq1r2rtkA48Vos5Hgm

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  • TRON: TY6e3dWGpqyn2wUgnA5q63c88PJzfDmQAD

Enjoy my awesome creativity!!

Peace & Love Always!!

Project details


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Source Distribution

wuddz_lit-1.0.3.tar.gz (8.8 kB view hashes)

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Built Distribution

wuddz_lit-1.0.3-py3-none-any.whl (10.3 kB view hashes)

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