semvec/pypi-packages huggingface dataset:
yugiohdeck-api 0.0.1.dev7
Transforms yugiohdeck.github.io links into card data (and back)
Requires Python: >=3.6

# About

This is a Python interface to [yugiohdeck.github.io](https://yugiohdeck.github.io/), which turns [the Yu-Gi-Oh! Trading Card Game](https://en.wikipedia.org/wiki/Yu-Gi-Oh!_Trading_Card_Game) decks into easily shared links.

This interface allows conversion of decklist links to card data and back. Card data is sourced from [YGOProDeck](https://db.ygoprodeck.com/api-guide/) and optionally [the YGOrganization DB](https://db.ygorganization.com/).

# Usage

`import yugiohdeck`

`yugiohdeck.ParseURLPasscodes(url)` - Parses a yugiohdeck URL and returns the card passcodes contained
**_async_** `yugiohdeck.ParseURLData(url)` - Parses a yugiohdeck URL and returns the card passcodes contained + their API data
`yugiohdeck.GetDeckURL(deck)` - Converts a deck into a yugiohdeck URL; `deck` should be `(name, (main, extra, side))`, same as is returned from the previous methods
bet365 0.0.3
ninja25538@tutanota.de
Requires Python: >=3.6

# Bet365-Scraper
This is a pretty simple Bet365 scraper using Selenium + Beautiful Soup. It can get the odds of any player from any currently running match

<b>Requirements:</b>
* beautifulsoup4
* selenium
* soupsieve
* urllib3

<p>While the latest versions of all of these should be compatible, using the versions listed in the req.txt file are guaranteed to work</p>

## Installation instructions
### Building from source
To install from source, simply clone this repository and then run

`python bet365/setup.py install`

### For Windows
1. Install Chrome Beta using the install file in the repo
2. Install dependencies by running `pip install -r req.txt`
3. Include the get_data function by having `from scrape import *` in your program
4. Use the `get_odds_data` function to retrieve data from any currently running game. Add True or False to whether to include debug info. to have certain commands print 

Alternatively you can just install the scraper using pip by running

`python -m pip install bet365`