sudo apt-get install apache2
sudo apt-get install mysql-client
sudo apt-get install mysql-server
sudo apt-get install php5 php-pear php5-mysql

sudo apt-get install php5-curl

sudo apt-get install python3
sudo apt-get install python3-pip

sudo pip3 install PyMySQL
sudo pip3 install selenium
sudo pip3 install oauth2client
sudo apt-get install libssl-dev (, libffi-dev)
sudo pip3 install PyOpenSSL
sudo pip3 install gspread
sudo pip3 install beautifulsoup4

sudo apt-get install xvfb
DISPLAY=:99 xvfb-run -a ./wwin-all.py

mysql -u root -p
> create database odds
> exit
mysql -u root -p -h localhost odds < db/dump.sql

Change database user and password in config.php, line 25 Change database user and password in util.py, line 170

Make sure all files are owned by the Apache group and user. In Ubuntu it is the www-data group and user

chown -R www-data:www-data /path/to/webserver/www

Next enabled all members of the www-data group to read and write files

chmod -R g+rw /path/to/webserver/www

sudo chmod a+x phantomjs-*

Create a new settings file for your new site. sudo cp /etc/apache2/sites-available/000-default.conf /etc/apache2/sites-available/site1.conf

Next, edit this settings file. sudoedit /etc/apache2/sites-available/site1.conf Change DocumentRoot /var/www to DocumentRoot /home/user/public_html.

Set server name.

sudo a2dissite default && sudo a2ensite site1.conf

sudo systemctl restart apache2

sudo -u www-data python <script>

sudo pip3 install -I pyOpenSSl

Open /etc/sudoers and insert the following line at the end of the file

www-data ALL=NOPASSWD: <path to run-all>/run-all

sudo ./run-all

./wwin-all

sudo DISPLAY=:99 xvfb-run -a ./wwin-all

test - only print scraped players (do not insert in database) save - only save html page(s) in htmls directory - parse pages stored in htmls directory

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 an odds comparison data table that contains a database of specific odds from specific bookies. The odds are NBA player points ONLY and the list of bookies is below. You need to extract the odds by scraping or if you have bookie APIs. The data table needs to have:

• name of bookie,
• time of event, (single)
• player name,
• number of points,
• odds for over,
• odds for under
• and if possible team of player. (single)

Time of evend and team can be scraped from a single bookie. Output table has to be sortable by several levels. Default sort would be: player name, number of points, odds.

Of course, the output data table needs to be online so I can refresh the table when needed. Fetching can be manual. 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 odds are needed. Note: not all bookies have the same player name structure, so the database needs to match similar expressions.

1. Marathonbet: https://www.marathonbet.com/hr/betting/Basketball/NBA/

2. Favbet: https://www.favbet.com/en/bets/#tour=17745 event example: https://www.favbet.com/en/bets/#tour=17745&event=4198442

3. WWin: https://wwin.com/sports/#f/0/110/0/

4. Meridianbet: https://meridianbet.com/#!standard_betting;leagueIDs=593

5. LSbet: https://www.lsbet.com/en-GB/sportsbook/eventpaths/multi/[223517]?utf8=%E2%9C%93&filter_options%5B%5D=450%7C209&commit=Refresh

6. Betx: https://www.betx.sk/SportBetting

7. William Hill: http://sports.williamhill.com/bet/en-gb/betting/t/266/NBA.html

8. Betsafe: https://www.betsafe.com/en/odds#/#/Special/87 BEATIFULSOUP or https://apostas.dhoze.com/en/#/#/Special/87

9. Orakulas: http://orakulas.lt/nba SELINIUM

10. Betfair: https://www.betfair.com/sport/basketball/event?eventId=27557166 ODDS IN PERCENTAGES event example: https://www.betfair.com/sport/basketball/event?eventId=27557168 FAIL

11. Bet top sport: https://www.bettopsport.com/odds/all/2/0/676 NE NADZEM event example: https://www.bettopsport.com/odds/all/2/0/676/5000393

There are 4 more bookies that need to be fetched however those are already available in a data table done by a freelancer that had to give up before finishing. He gave me links and passwords to data and mysql tables as well as the code, so fetching/scraping them shouldn't be a problem.