Betting odds extraction

Please only those who have experience in extracting betting odds apply. This project is for personal use only, therefore aesthetics isn't important. I need someone to make a script that will scrap specific odds from specific bookies. The odds/market is NBA player points ONLY and the list of bookies is below. Those scraped odds would than be placed in the data table on my personal private webpage. Required data for each data entry is: name of bookie, player name, number of points, odds for over, odds for under. That info has to be uploaded on a server database. I will grant you access to the Linux server and database. Some other bookmakers are already scraped and present on the webpage. Full code of the work so far is also available online. You would also have to do small changes to the database and webpage for instance adding sorting conditions, filters, removing unwanted bookies etc. The page can be seen here: [login to view URL] Below are the bookies that are needed and the best possible link that leads to NBA player points. Some bookies have the same link each day, some create links with event ids daily. I will upload the screenshots of several bookies so that you can easily see which fields are needed. Most bookies have odds available by afternoon american time. Marathonbet: [login to view URL] Orakulas: [login to view URL] Bet top sport: [login to view URL] event example: [login to view URL] Betfair: [login to view URL] event example: [login to view URL] Betsafe: [login to view URL] William Hill: [login to view URL] Expekt: [login to view URL] Some of those bookmakers even have some code written for scraping in python but are not finished. IMPORTANT: Please make a check if you can scrap/extract odds from the listed bookies before making an offer. Whoever can get me the most bookies in minimum time will be chosen. Thank you. I am available for any questions, please note I am not experienced in databases, web design and web page scraping. Also a possibility of later adding new bookies, new features, database maintenance etc.