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A library for scraping box score and schedule data from Basketball Reference

Project description

# Basketball Reference Web Scraper
[Basketball Reference](http://www.basketball-reference.com) is a great site (especially for a basketball stats nut like me), and hopefully they don't get too pissed off at me for creating this.

Basically, I created this repository as a utility for another project where I'm trying to estimate an NBA player's productivity as it relates to daily fantasy sports. For that project, I need box score and scheduling information, which is provided by this utility.

## Getting Box Scores
There are two methods that return box scores for a given date:

### Methods located in `web_scrapers.py`
* `return_box_scores_for_date(date)`
* Returns a list of Box Score objects
* `return_json_encoded_box_scores_for_date(date)`
* Returns a JSON object representation of a list of Box Score objects

## Getting Season Schedule Information
There are also two methods that return scheduling information for a given season start year (note that the NBA season generally spans two calendar years):

### Methods located in `web_scrapers.py`
* `return_schedule(season_start_year)`
* Returns a Schedule object
* `return_json_encoded_schedule(season_start_year)`
* Returns a JSON representation of a Schedule object

## Writing to CSV
I also created utility methods that write box score and season data to csv. They are located in `csv_writers.py`.

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