Web Scrapping of Soccer Data

I am looking for a data extractor from web ([login to view URL]). This portal provides information about odds on different sports, within the scope of this project is only soccer - please refer to [login to view URL] for the first information. My preference is to have it done in Python (2.7.x), my platform is Windows 7. No GUI is needed, the execution of the script should be driven by command line parameters and simple configuration file. I believe the task is not difficult for someone with experience in web scraping and I do know exactly what I am looking for. As an optional requirements: the script should be able to process more pages in parallel and should work both behind proxy and when connected to Internet directly. The site allows you to register (freely) and when registered more data can be seen (odds from more bookmakers), the script should log to the site as well. As for the processing logic: - there will be an input config file (text file, one string per line) - there will be two output files (matches/odds) for each processed line from the config file - for each line (assume the line="soccer/australia/a-league-2013-2014/") in the config file the script should go to corresponding page [login to view URL] - extract one line per each match into output file for matches: for the first match, something like "soccer/australia/a-league-2013-2014,04 May 2014,Play Offs,08:00,Brisbane Roar,WS Wanderers,tII15doo,2,1,ET,2.60,3.40,3.55,52" - extract one line for each odds for 1X2 and Over/Under +2.5 markets for each match - for this you need to go to - [login to view URL];2 -> per each set of odds line like this will be outputed "tII15doo,1X2,2,10Bet,2.10,3.25,3.20" - [login to view URL];2 -> per each set of odds line like this will be outputed "tII15doo,over-under,2,2.5,10Bet,2.20,1.61" Hope this all makes sense. A few things for fine tweaking of the process to be discussed during the project but high level these are the most important tasks.