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        "author": "Brendan Hart",
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            "License :: OSI Approved :: MIT License",
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        "description": "## Linestar Scrape\n\n### Goals\n**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**\n\nExample:\nhttps://www.linestarapp.com/Ownership/Sport/NBA/Site/FanDuel/PID/420\n\nIn 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.\n\n### Installation\n`pip install linestar-scrape`\n* Be sure to update often to get the latest mapping from human datetime to linestar date id\n\n### Methods\n`fanduel_nba_own_date(date)`\n\nInputs:\n* Python datetime\n\nOutput: Linestar Page Data Object containing Linestar Data For That Date\n\n`fanduel_nba_own_date_range(date1, date2)`\n\nInputs:\n* date1 = Python datetime for first date\n* date2 = Python datetime for second date\n\nOutput: Linestar Map with Date String (YYYY-MM-DD) being the key and a Linestar Page Data Object being a value for inclusive range of dates\n\n### Linestar Objects\n**Linestar Page Data**\n\nObject Name: LinestarPageData\n\nMembers\n* date\n* competitions (array of LinestarCompeition)\n* url (link to url scraped)\n\n**Linestar Competitions**\n\nObject Name: LinestarCompeition\n\nMembers\n* name (competition name)\n* id (competition id)\n* games (number of games for competition)\n* gpp (True if GPP Competition)\n* doubleUp (True if Double Up Competition)\n* players (Array of LinestarPlayerObject)\n\n**Linestar Players**\n\nObject Name: LinestarPlayerObject\n\nMembers\n* id (player id)\n* name (player name)\n* owned (percent owned, in float format (ie: 78.2))\n* pos (position)\n* team \n* sal (salary)\n\n\n### Examples\n`import linestar`\n\n`single_data = linestar.standard.fanduel_nba_own_date(datetime(2019, 2, 10))`\n\n`range_data = linestar.standard.fanduel_nba_own_date(datetime(2019, 2, 5), datetime(2019, 2, 10))`\n\n",
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