Metadata-Version: 2.1
Name: linestar-scrape
Version: 1.0.2
Summary: A package to scrape linestarapp.com daily fantasy sports ownership data
Home-page: https://github.com/WolverineSportsAnalytics/linestar-scrape
Author: Brendan Hart
Author-email: brendanahart@gmail.com
License: UNKNOWN
Description: ## Linestar Scrape
        
        ### Goals
        **The goal of this project is to provide a person with a standardized format for getting linestar ownership data so that it can be used for better understanding daily fantasy competitions**
        
        Example:
        https://www.linestarapp.com/Ownership/Sport/NBA/Site/FanDuel/PID/420
        
        In order to scrape this page, lots of tedious work would have to be done in order to pull data from this site that could only be used for a specific use case. Why not make a package that can be used by everyone? This page contains valueable information to fantasy players and can be used for many DFS data science applications.
        
        ### Installation
        `pip install linestar-scrape`
        * Be sure to update often to get the latest mapping from human datetime to linestar date id
        
        ### Methods
        `fanduel_nba_own_date(date)`
        
        Inputs:
        * Python datetime
        
        Output: Linestar Page Data Object containing Linestar Data For That Date
        
        `fanduel_nba_own_date_range(date1, date2)`
        
        Inputs:
        * date1 = Python datetime for first date
        * date2 = Python datetime for second date
        
        Output: Linestar Map with Date String (YYYY-MM-DD) being the key and a Linestar Page Data Object being a value
        
        ### Linestar Objects
        **Linestar Page Data**
        
        Object Name: LinestarPageData
        
        Members
        * date
        * competitions (array of LinestarCompeition)
        * url (link to url scraped)
        
        **Linestar Competitions**
        
        Object Name: LinestarCompeition
        
        Members
        * name (competition name)
        * id (competition id)
        * games (number of games for competition)
        * gpp (True if GPP Competition)
        * doubleUp (True if Double Up Competition)
        * players (Array of LinestarPlayerObject)
        
        **Linestar Players**
        
        Object Name: LinestarPlayerObject
        
        Members
        * id (player id)
        * name (player name)
        * owned (percent owned, in float format (ie: 78.2))
        * pos (position)
        * team 
        * sal (salary)
        
        
        ### Examples
        `import linestar`
        
        `single_data = linestar.standard.fanduel_nba_own_date(datetime(2019, 2, 10))`
        
        `range_data = linestar.standard.fanduel_nba_own_date(datetime(2019, 2, 5), datetime(2019, 2, 10))`
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.6
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
