Python Web Scraping Project for NBA Data

Python Web Scraping Project for NBA Data

Closed - This job posting has been filled and work has been completed.

Job Description

I need a python script to scrape sports data.

The main data source is:

Spread, Money Line, and O/U Moves
http://www.sbrforum.com/betting-odds/nba-basketball/money-line/

The script should:

1) Accept a date range
2) Collect Betting data for each game (for example http://www.sbrforum.com/betting-odds/nba-basketball/money-line/?date=20130620 and click on the little "i" button ) and book (5dimes, Pinnacle, Bookmaker, BetOnline, Bovada, The Greek, Matchbook, Heritage, SBR Sportsbook Bet365)
a) The money lines for each game (the "lines history" tab and "money lines" table), uniquely identified by date, home team, away team, book, line date time
b) The point spreads for each book (the "lines history" tab and "point spreads" table), uniquely identified by date, home team, away team, book, and spread date time
c) The total for each book (the "lines history" tab and "total" table), uniquely identified by date, home team, away team, book, and total date time
d) Injuries
e) Consensus (point spreads, money lines, total)
4) Store data in csv or mysql table, including

Deliverables:
1) Easy to modify python script that accepts a start date and end date
2) files (or mysql dump) of data line moves, spreads, totals, injuries, and consensus data form October 2006 until June 2013.

Feel free to send me questions, I'd be happy to clarify further.