How to scrape NHL team names and odds from API?












1














I am hoping for the following info:



1) NHL Team Names



2) Betting Odds



Here is the site: https://www.bovada.lv/services/sports/event/v2/events/A/description/hockey/nhl.



Here is my code so far:



import requests

source = requests.get("https://www.bovada.lv/services/sports/event/v2/events/A/description/hockey/nhl").json()

data = source[0]

for game in data['events'][2].items():
print(game)


The code above only prints the data for one game. I was hoping for all of the games. Is there an easy way to loop through all of them? I am also not sure how to parse out the info I am looking for.




  • Team Names


I noticed the team names are located in the section titled 'competitors':



competitors":[{"id":"3596982-510","name":"Philadelphia Flyers","home":true},{"id":"3596982-376","name":"New York Rangers","home":false}]


In the example above the info I am looking for is Philadelphia Flyers and New York Rangers, respectively.




  • Odds


(Note: the odds change so the numbers you see may be different)



I also noticed the spread with odds is located in the section titled 'display groups':



"displayGroups":[{"id":"100-128","description":"Game Lines","defaultType":true,"alternateType":false,"markets":[{"id":"57349611","description":"Total","key":"2W-OU","marketTypeId":"120743","status":"O","singleOnly":false,"notes":"","period":{"id":"1191","description":"Match","abbreviation":"M","live":false,"main":true},"outcomes":[{"id":"294606239","description":"Over","status":"O","type":"O","price":{"id":"1836755921","handicap":"6.5","american":"EVEN","decimal":"2.00","fractional":"1/1","malay":"1.00","indonesian":"1.00","hongkong":"1.00"}},{"id":"294606240","description":"Under","status":"O","type":"U","price":{"id":"1836755922","handicap":"6.5","american":"-125","decimal":"1.800","fractional":"4/5","malay":"0.80","indonesian":"-1.25","hongkong":"0.80"}}]},{"id":"57349614","description":"Moneyline","key":"2W-12","marketTypeId":"372","status":"O","singleOnly":false,"notes":"","period":{"id":"1191","description":"Match","abbreviation":"M","live":false,"main":true},"outcomes":[{"id":"294606235","description":"New York Rangers","status":"O","type":"A","competitorId":"3596982-376","price":{"id":"1836569815","american":"+125","decimal":"2.250","fractional":"5/4","malay":"-0.80","indonesian":"1.25","hongkong":"1.25"}},{"id":"294606236","description":"Philadelphia Flyers","status":"O","type":"H","competitorId":"3596982-510","price":{"id":"1836569814","american":"-155","decimal":"1.645161","fractional":"20/31","malay":"0.65","indonesian":"-1.55","hongkong":"0.65"}}]},{"id":"57349618","description":"Puck Line","key":"2W-HCAP","marketTypeId":"120744","status":"O","singleOnly":false,"notes":"","period":{"id":"1191","description":"Match","abbreviation":"M","live":false,"main":true},"outcomes":[{"id":"294606248","description":"New York Rangers","status":"O","type":"A","competitorId":"3596982-376","price":{"id":"1836755920","handicap":"1.5","american":"-210","decimal":"1.47619","fractional":"10/21","malay":"0.48","indonesian":"-2.10","hongkong":"0.48"}},{"id":"294606249","description":"Philadelphia Flyers","status":"O","type":"H","competitorId":"3596982-510","price":{"id":"1836569799","handicap":"-1.5","american":"+175"



In the example above the info I am looking for is 1.5 and -210 (for the New York Rangers), and -1.5 and +175 (for the Philadelphia Flyers).



Here is an example of the data I would like for one game:



                            Spread       Win         Total
New York Rangers +1.5 (-230) +130 O 6.0 (-105)
Philadelphia Flyers -1.5 (+190) -150 O 6.0 (-115)


I would like the same info for all of the games if possible.



I am new to scraping and have no prior experience coding. Any help will be greatly appreciated. Thanks in advance for your time and efforts!




  • Update:


Here is the URL: https://www.bovada.lv/sports/hockey



I am looking for the bet line info:



enter image description here










share|improve this question





























    1














    I am hoping for the following info:



    1) NHL Team Names



    2) Betting Odds



    Here is the site: https://www.bovada.lv/services/sports/event/v2/events/A/description/hockey/nhl.



    Here is my code so far:



    import requests

    source = requests.get("https://www.bovada.lv/services/sports/event/v2/events/A/description/hockey/nhl").json()

    data = source[0]

    for game in data['events'][2].items():
    print(game)


    The code above only prints the data for one game. I was hoping for all of the games. Is there an easy way to loop through all of them? I am also not sure how to parse out the info I am looking for.




    • Team Names


    I noticed the team names are located in the section titled 'competitors':



    competitors":[{"id":"3596982-510","name":"Philadelphia Flyers","home":true},{"id":"3596982-376","name":"New York Rangers","home":false}]


    In the example above the info I am looking for is Philadelphia Flyers and New York Rangers, respectively.




    • Odds


    (Note: the odds change so the numbers you see may be different)



    I also noticed the spread with odds is located in the section titled 'display groups':



    "displayGroups":[{"id":"100-128","description":"Game Lines","defaultType":true,"alternateType":false,"markets":[{"id":"57349611","description":"Total","key":"2W-OU","marketTypeId":"120743","status":"O","singleOnly":false,"notes":"","period":{"id":"1191","description":"Match","abbreviation":"M","live":false,"main":true},"outcomes":[{"id":"294606239","description":"Over","status":"O","type":"O","price":{"id":"1836755921","handicap":"6.5","american":"EVEN","decimal":"2.00","fractional":"1/1","malay":"1.00","indonesian":"1.00","hongkong":"1.00"}},{"id":"294606240","description":"Under","status":"O","type":"U","price":{"id":"1836755922","handicap":"6.5","american":"-125","decimal":"1.800","fractional":"4/5","malay":"0.80","indonesian":"-1.25","hongkong":"0.80"}}]},{"id":"57349614","description":"Moneyline","key":"2W-12","marketTypeId":"372","status":"O","singleOnly":false,"notes":"","period":{"id":"1191","description":"Match","abbreviation":"M","live":false,"main":true},"outcomes":[{"id":"294606235","description":"New York Rangers","status":"O","type":"A","competitorId":"3596982-376","price":{"id":"1836569815","american":"+125","decimal":"2.250","fractional":"5/4","malay":"-0.80","indonesian":"1.25","hongkong":"1.25"}},{"id":"294606236","description":"Philadelphia Flyers","status":"O","type":"H","competitorId":"3596982-510","price":{"id":"1836569814","american":"-155","decimal":"1.645161","fractional":"20/31","malay":"0.65","indonesian":"-1.55","hongkong":"0.65"}}]},{"id":"57349618","description":"Puck Line","key":"2W-HCAP","marketTypeId":"120744","status":"O","singleOnly":false,"notes":"","period":{"id":"1191","description":"Match","abbreviation":"M","live":false,"main":true},"outcomes":[{"id":"294606248","description":"New York Rangers","status":"O","type":"A","competitorId":"3596982-376","price":{"id":"1836755920","handicap":"1.5","american":"-210","decimal":"1.47619","fractional":"10/21","malay":"0.48","indonesian":"-2.10","hongkong":"0.48"}},{"id":"294606249","description":"Philadelphia Flyers","status":"O","type":"H","competitorId":"3596982-510","price":{"id":"1836569799","handicap":"-1.5","american":"+175"



    In the example above the info I am looking for is 1.5 and -210 (for the New York Rangers), and -1.5 and +175 (for the Philadelphia Flyers).



    Here is an example of the data I would like for one game:



                                Spread       Win         Total
    New York Rangers +1.5 (-230) +130 O 6.0 (-105)
    Philadelphia Flyers -1.5 (+190) -150 O 6.0 (-115)


    I would like the same info for all of the games if possible.



    I am new to scraping and have no prior experience coding. Any help will be greatly appreciated. Thanks in advance for your time and efforts!




    • Update:


    Here is the URL: https://www.bovada.lv/sports/hockey



    I am looking for the bet line info:



    enter image description here










    share|improve this question



























      1












      1








      1







      I am hoping for the following info:



      1) NHL Team Names



      2) Betting Odds



      Here is the site: https://www.bovada.lv/services/sports/event/v2/events/A/description/hockey/nhl.



      Here is my code so far:



      import requests

      source = requests.get("https://www.bovada.lv/services/sports/event/v2/events/A/description/hockey/nhl").json()

      data = source[0]

      for game in data['events'][2].items():
      print(game)


      The code above only prints the data for one game. I was hoping for all of the games. Is there an easy way to loop through all of them? I am also not sure how to parse out the info I am looking for.




      • Team Names


      I noticed the team names are located in the section titled 'competitors':



      competitors":[{"id":"3596982-510","name":"Philadelphia Flyers","home":true},{"id":"3596982-376","name":"New York Rangers","home":false}]


      In the example above the info I am looking for is Philadelphia Flyers and New York Rangers, respectively.




      • Odds


      (Note: the odds change so the numbers you see may be different)



      I also noticed the spread with odds is located in the section titled 'display groups':



      "displayGroups":[{"id":"100-128","description":"Game Lines","defaultType":true,"alternateType":false,"markets":[{"id":"57349611","description":"Total","key":"2W-OU","marketTypeId":"120743","status":"O","singleOnly":false,"notes":"","period":{"id":"1191","description":"Match","abbreviation":"M","live":false,"main":true},"outcomes":[{"id":"294606239","description":"Over","status":"O","type":"O","price":{"id":"1836755921","handicap":"6.5","american":"EVEN","decimal":"2.00","fractional":"1/1","malay":"1.00","indonesian":"1.00","hongkong":"1.00"}},{"id":"294606240","description":"Under","status":"O","type":"U","price":{"id":"1836755922","handicap":"6.5","american":"-125","decimal":"1.800","fractional":"4/5","malay":"0.80","indonesian":"-1.25","hongkong":"0.80"}}]},{"id":"57349614","description":"Moneyline","key":"2W-12","marketTypeId":"372","status":"O","singleOnly":false,"notes":"","period":{"id":"1191","description":"Match","abbreviation":"M","live":false,"main":true},"outcomes":[{"id":"294606235","description":"New York Rangers","status":"O","type":"A","competitorId":"3596982-376","price":{"id":"1836569815","american":"+125","decimal":"2.250","fractional":"5/4","malay":"-0.80","indonesian":"1.25","hongkong":"1.25"}},{"id":"294606236","description":"Philadelphia Flyers","status":"O","type":"H","competitorId":"3596982-510","price":{"id":"1836569814","american":"-155","decimal":"1.645161","fractional":"20/31","malay":"0.65","indonesian":"-1.55","hongkong":"0.65"}}]},{"id":"57349618","description":"Puck Line","key":"2W-HCAP","marketTypeId":"120744","status":"O","singleOnly":false,"notes":"","period":{"id":"1191","description":"Match","abbreviation":"M","live":false,"main":true},"outcomes":[{"id":"294606248","description":"New York Rangers","status":"O","type":"A","competitorId":"3596982-376","price":{"id":"1836755920","handicap":"1.5","american":"-210","decimal":"1.47619","fractional":"10/21","malay":"0.48","indonesian":"-2.10","hongkong":"0.48"}},{"id":"294606249","description":"Philadelphia Flyers","status":"O","type":"H","competitorId":"3596982-510","price":{"id":"1836569799","handicap":"-1.5","american":"+175"



      In the example above the info I am looking for is 1.5 and -210 (for the New York Rangers), and -1.5 and +175 (for the Philadelphia Flyers).



      Here is an example of the data I would like for one game:



                                  Spread       Win         Total
      New York Rangers +1.5 (-230) +130 O 6.0 (-105)
      Philadelphia Flyers -1.5 (+190) -150 O 6.0 (-115)


      I would like the same info for all of the games if possible.



      I am new to scraping and have no prior experience coding. Any help will be greatly appreciated. Thanks in advance for your time and efforts!




      • Update:


      Here is the URL: https://www.bovada.lv/sports/hockey



      I am looking for the bet line info:



      enter image description here










      share|improve this question















      I am hoping for the following info:



      1) NHL Team Names



      2) Betting Odds



      Here is the site: https://www.bovada.lv/services/sports/event/v2/events/A/description/hockey/nhl.



      Here is my code so far:



      import requests

      source = requests.get("https://www.bovada.lv/services/sports/event/v2/events/A/description/hockey/nhl").json()

      data = source[0]

      for game in data['events'][2].items():
      print(game)


      The code above only prints the data for one game. I was hoping for all of the games. Is there an easy way to loop through all of them? I am also not sure how to parse out the info I am looking for.




      • Team Names


      I noticed the team names are located in the section titled 'competitors':



      competitors":[{"id":"3596982-510","name":"Philadelphia Flyers","home":true},{"id":"3596982-376","name":"New York Rangers","home":false}]


      In the example above the info I am looking for is Philadelphia Flyers and New York Rangers, respectively.




      • Odds


      (Note: the odds change so the numbers you see may be different)



      I also noticed the spread with odds is located in the section titled 'display groups':



      "displayGroups":[{"id":"100-128","description":"Game Lines","defaultType":true,"alternateType":false,"markets":[{"id":"57349611","description":"Total","key":"2W-OU","marketTypeId":"120743","status":"O","singleOnly":false,"notes":"","period":{"id":"1191","description":"Match","abbreviation":"M","live":false,"main":true},"outcomes":[{"id":"294606239","description":"Over","status":"O","type":"O","price":{"id":"1836755921","handicap":"6.5","american":"EVEN","decimal":"2.00","fractional":"1/1","malay":"1.00","indonesian":"1.00","hongkong":"1.00"}},{"id":"294606240","description":"Under","status":"O","type":"U","price":{"id":"1836755922","handicap":"6.5","american":"-125","decimal":"1.800","fractional":"4/5","malay":"0.80","indonesian":"-1.25","hongkong":"0.80"}}]},{"id":"57349614","description":"Moneyline","key":"2W-12","marketTypeId":"372","status":"O","singleOnly":false,"notes":"","period":{"id":"1191","description":"Match","abbreviation":"M","live":false,"main":true},"outcomes":[{"id":"294606235","description":"New York Rangers","status":"O","type":"A","competitorId":"3596982-376","price":{"id":"1836569815","american":"+125","decimal":"2.250","fractional":"5/4","malay":"-0.80","indonesian":"1.25","hongkong":"1.25"}},{"id":"294606236","description":"Philadelphia Flyers","status":"O","type":"H","competitorId":"3596982-510","price":{"id":"1836569814","american":"-155","decimal":"1.645161","fractional":"20/31","malay":"0.65","indonesian":"-1.55","hongkong":"0.65"}}]},{"id":"57349618","description":"Puck Line","key":"2W-HCAP","marketTypeId":"120744","status":"O","singleOnly":false,"notes":"","period":{"id":"1191","description":"Match","abbreviation":"M","live":false,"main":true},"outcomes":[{"id":"294606248","description":"New York Rangers","status":"O","type":"A","competitorId":"3596982-376","price":{"id":"1836755920","handicap":"1.5","american":"-210","decimal":"1.47619","fractional":"10/21","malay":"0.48","indonesian":"-2.10","hongkong":"0.48"}},{"id":"294606249","description":"Philadelphia Flyers","status":"O","type":"H","competitorId":"3596982-510","price":{"id":"1836569799","handicap":"-1.5","american":"+175"



      In the example above the info I am looking for is 1.5 and -210 (for the New York Rangers), and -1.5 and +175 (for the Philadelphia Flyers).



      Here is an example of the data I would like for one game:



                                  Spread       Win         Total
      New York Rangers +1.5 (-230) +130 O 6.0 (-105)
      Philadelphia Flyers -1.5 (+190) -150 O 6.0 (-115)


      I would like the same info for all of the games if possible.



      I am new to scraping and have no prior experience coding. Any help will be greatly appreciated. Thanks in advance for your time and efforts!




      • Update:


      Here is the URL: https://www.bovada.lv/sports/hockey



      I am looking for the bet line info:



      enter image description here







      python json api parsing web-scraping






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Dec 5 at 3:36









      Jake West

      236




      236










      asked Nov 22 at 20:03









      Able Archer

      968




      968
























          2 Answers
          2






          active

          oldest

          votes


















          2














          To get team name pairs try below:



          import requests

          source = requests.get("https://www.bovada.lv/services/sports/event/v2/events/A/description/hockey/nhl").json()

          data = source[0]
          for game in data:
          for team in data['events']:
          try:
          team_1 = team['competitors'][0]['name']
          team_2 = team['competitors'][1]['name']
          try: odd_1_1 = team['displayGroups'][0]['markets'][0]['outcomes'][0]['price']['handicap']
          except KeyError: odd_1_1 = None
          try: odd_1_2 = team['displayGroups'][0]['markets'][0]['outcomes'][0]['price']['american']
          except KeyError: odd_1_2 = None
          try: odd_2_1 = team['displayGroups'][0]['markets'][0]['outcomes'][1]['price']['handicap']
          except KeyError: odd_2_1 = None
          try: odd_2_2 = team['displayGroups'][0]['markets'][0]['outcomes'][1]['price']['american']
          except KeyError: odd_2_2 = None
          print("{0} ({2}, {3}) vs {1} ({4}, {5})".format(team_1,team_2, odd_1_1, odd_1_2, odd_2_1, odd_2_2))
          except IndexError:
          pass


          Output:



          Philadelphia Flyers (6.0, -115) vs New York Rangers (6.0, -105)
          Washington Capitals (1.5, -150) vs Detroit Red Wings (-1.5, +125)
          Anaheim Ducks (5.5, -110) vs Edmonton Oilers (5.5, -110)
          ...


          Note that in some entries competitors key has no value, so I used try/except to handle this case...






          share|improve this answer



















          • 1




            For now I cannot find required +1.5 -210 and -1.5 +175 under displayGroups... but I'll try to find :)
            – Andersson
            Nov 22 at 20:34










          • @Able Archer Can you tell me where exactly you found these values? :) Still cannot find them. Or they probably were updated...
            – Andersson
            Nov 22 at 20:45












          • The odds change @Andersson so the values might not be the same. I added a pic and the URL. Thanks for your help and I appreciate the try/except... Much respect!
            – Able Archer
            Nov 22 at 22:30












          • Your code is extremely helpful sir @Andersson. I am now able to print the teams like requested. My first request is complete... I would love to add the odds if possible. The info I am looking for is located after the words 'handicap' and 'american' (-1.5 and +175, for example).
            – Able Archer
            Nov 23 at 3:54










          • @AbleArcher , check updated. For some games handicap key might be absent, so I added some more try/except blocks to handle this issue.. It doesn't look pretty, but should work as expected :)
            – Andersson
            Nov 23 at 8:33





















          1














          This is a JSON formatted data, so use the python json module



          import json
          json.loads('["foo", {"bar":["baz", null, 1.0, 2]}]')
          >>> ['foo', {'bar': ['baz', None, 1.0, 2]}]


          You can use the debugger to observe the datastructure, the loads(str) function will return. It will be a dict in your case. Then navigate in the lists and dictionaries.






          share|improve this answer





















          • Thanks for your response @handras! I will spend some time trying to learn from this.
            – Able Archer
            Nov 26 at 3:10











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          2 Answers
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          active

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          2 Answers
          2






          active

          oldest

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          active

          oldest

          votes






          active

          oldest

          votes









          2














          To get team name pairs try below:



          import requests

          source = requests.get("https://www.bovada.lv/services/sports/event/v2/events/A/description/hockey/nhl").json()

          data = source[0]
          for game in data:
          for team in data['events']:
          try:
          team_1 = team['competitors'][0]['name']
          team_2 = team['competitors'][1]['name']
          try: odd_1_1 = team['displayGroups'][0]['markets'][0]['outcomes'][0]['price']['handicap']
          except KeyError: odd_1_1 = None
          try: odd_1_2 = team['displayGroups'][0]['markets'][0]['outcomes'][0]['price']['american']
          except KeyError: odd_1_2 = None
          try: odd_2_1 = team['displayGroups'][0]['markets'][0]['outcomes'][1]['price']['handicap']
          except KeyError: odd_2_1 = None
          try: odd_2_2 = team['displayGroups'][0]['markets'][0]['outcomes'][1]['price']['american']
          except KeyError: odd_2_2 = None
          print("{0} ({2}, {3}) vs {1} ({4}, {5})".format(team_1,team_2, odd_1_1, odd_1_2, odd_2_1, odd_2_2))
          except IndexError:
          pass


          Output:



          Philadelphia Flyers (6.0, -115) vs New York Rangers (6.0, -105)
          Washington Capitals (1.5, -150) vs Detroit Red Wings (-1.5, +125)
          Anaheim Ducks (5.5, -110) vs Edmonton Oilers (5.5, -110)
          ...


          Note that in some entries competitors key has no value, so I used try/except to handle this case...






          share|improve this answer



















          • 1




            For now I cannot find required +1.5 -210 and -1.5 +175 under displayGroups... but I'll try to find :)
            – Andersson
            Nov 22 at 20:34










          • @Able Archer Can you tell me where exactly you found these values? :) Still cannot find them. Or they probably were updated...
            – Andersson
            Nov 22 at 20:45












          • The odds change @Andersson so the values might not be the same. I added a pic and the URL. Thanks for your help and I appreciate the try/except... Much respect!
            – Able Archer
            Nov 22 at 22:30












          • Your code is extremely helpful sir @Andersson. I am now able to print the teams like requested. My first request is complete... I would love to add the odds if possible. The info I am looking for is located after the words 'handicap' and 'american' (-1.5 and +175, for example).
            – Able Archer
            Nov 23 at 3:54










          • @AbleArcher , check updated. For some games handicap key might be absent, so I added some more try/except blocks to handle this issue.. It doesn't look pretty, but should work as expected :)
            – Andersson
            Nov 23 at 8:33


















          2














          To get team name pairs try below:



          import requests

          source = requests.get("https://www.bovada.lv/services/sports/event/v2/events/A/description/hockey/nhl").json()

          data = source[0]
          for game in data:
          for team in data['events']:
          try:
          team_1 = team['competitors'][0]['name']
          team_2 = team['competitors'][1]['name']
          try: odd_1_1 = team['displayGroups'][0]['markets'][0]['outcomes'][0]['price']['handicap']
          except KeyError: odd_1_1 = None
          try: odd_1_2 = team['displayGroups'][0]['markets'][0]['outcomes'][0]['price']['american']
          except KeyError: odd_1_2 = None
          try: odd_2_1 = team['displayGroups'][0]['markets'][0]['outcomes'][1]['price']['handicap']
          except KeyError: odd_2_1 = None
          try: odd_2_2 = team['displayGroups'][0]['markets'][0]['outcomes'][1]['price']['american']
          except KeyError: odd_2_2 = None
          print("{0} ({2}, {3}) vs {1} ({4}, {5})".format(team_1,team_2, odd_1_1, odd_1_2, odd_2_1, odd_2_2))
          except IndexError:
          pass


          Output:



          Philadelphia Flyers (6.0, -115) vs New York Rangers (6.0, -105)
          Washington Capitals (1.5, -150) vs Detroit Red Wings (-1.5, +125)
          Anaheim Ducks (5.5, -110) vs Edmonton Oilers (5.5, -110)
          ...


          Note that in some entries competitors key has no value, so I used try/except to handle this case...






          share|improve this answer



















          • 1




            For now I cannot find required +1.5 -210 and -1.5 +175 under displayGroups... but I'll try to find :)
            – Andersson
            Nov 22 at 20:34










          • @Able Archer Can you tell me where exactly you found these values? :) Still cannot find them. Or they probably were updated...
            – Andersson
            Nov 22 at 20:45












          • The odds change @Andersson so the values might not be the same. I added a pic and the URL. Thanks for your help and I appreciate the try/except... Much respect!
            – Able Archer
            Nov 22 at 22:30












          • Your code is extremely helpful sir @Andersson. I am now able to print the teams like requested. My first request is complete... I would love to add the odds if possible. The info I am looking for is located after the words 'handicap' and 'american' (-1.5 and +175, for example).
            – Able Archer
            Nov 23 at 3:54










          • @AbleArcher , check updated. For some games handicap key might be absent, so I added some more try/except blocks to handle this issue.. It doesn't look pretty, but should work as expected :)
            – Andersson
            Nov 23 at 8:33
















          2












          2








          2






          To get team name pairs try below:



          import requests

          source = requests.get("https://www.bovada.lv/services/sports/event/v2/events/A/description/hockey/nhl").json()

          data = source[0]
          for game in data:
          for team in data['events']:
          try:
          team_1 = team['competitors'][0]['name']
          team_2 = team['competitors'][1]['name']
          try: odd_1_1 = team['displayGroups'][0]['markets'][0]['outcomes'][0]['price']['handicap']
          except KeyError: odd_1_1 = None
          try: odd_1_2 = team['displayGroups'][0]['markets'][0]['outcomes'][0]['price']['american']
          except KeyError: odd_1_2 = None
          try: odd_2_1 = team['displayGroups'][0]['markets'][0]['outcomes'][1]['price']['handicap']
          except KeyError: odd_2_1 = None
          try: odd_2_2 = team['displayGroups'][0]['markets'][0]['outcomes'][1]['price']['american']
          except KeyError: odd_2_2 = None
          print("{0} ({2}, {3}) vs {1} ({4}, {5})".format(team_1,team_2, odd_1_1, odd_1_2, odd_2_1, odd_2_2))
          except IndexError:
          pass


          Output:



          Philadelphia Flyers (6.0, -115) vs New York Rangers (6.0, -105)
          Washington Capitals (1.5, -150) vs Detroit Red Wings (-1.5, +125)
          Anaheim Ducks (5.5, -110) vs Edmonton Oilers (5.5, -110)
          ...


          Note that in some entries competitors key has no value, so I used try/except to handle this case...






          share|improve this answer














          To get team name pairs try below:



          import requests

          source = requests.get("https://www.bovada.lv/services/sports/event/v2/events/A/description/hockey/nhl").json()

          data = source[0]
          for game in data:
          for team in data['events']:
          try:
          team_1 = team['competitors'][0]['name']
          team_2 = team['competitors'][1]['name']
          try: odd_1_1 = team['displayGroups'][0]['markets'][0]['outcomes'][0]['price']['handicap']
          except KeyError: odd_1_1 = None
          try: odd_1_2 = team['displayGroups'][0]['markets'][0]['outcomes'][0]['price']['american']
          except KeyError: odd_1_2 = None
          try: odd_2_1 = team['displayGroups'][0]['markets'][0]['outcomes'][1]['price']['handicap']
          except KeyError: odd_2_1 = None
          try: odd_2_2 = team['displayGroups'][0]['markets'][0]['outcomes'][1]['price']['american']
          except KeyError: odd_2_2 = None
          print("{0} ({2}, {3}) vs {1} ({4}, {5})".format(team_1,team_2, odd_1_1, odd_1_2, odd_2_1, odd_2_2))
          except IndexError:
          pass


          Output:



          Philadelphia Flyers (6.0, -115) vs New York Rangers (6.0, -105)
          Washington Capitals (1.5, -150) vs Detroit Red Wings (-1.5, +125)
          Anaheim Ducks (5.5, -110) vs Edmonton Oilers (5.5, -110)
          ...


          Note that in some entries competitors key has no value, so I used try/except to handle this case...







          share|improve this answer














          share|improve this answer



          share|improve this answer








          edited Nov 23 at 8:26

























          answered Nov 22 at 20:33









          Andersson

          36.6k103266




          36.6k103266








          • 1




            For now I cannot find required +1.5 -210 and -1.5 +175 under displayGroups... but I'll try to find :)
            – Andersson
            Nov 22 at 20:34










          • @Able Archer Can you tell me where exactly you found these values? :) Still cannot find them. Or they probably were updated...
            – Andersson
            Nov 22 at 20:45












          • The odds change @Andersson so the values might not be the same. I added a pic and the URL. Thanks for your help and I appreciate the try/except... Much respect!
            – Able Archer
            Nov 22 at 22:30












          • Your code is extremely helpful sir @Andersson. I am now able to print the teams like requested. My first request is complete... I would love to add the odds if possible. The info I am looking for is located after the words 'handicap' and 'american' (-1.5 and +175, for example).
            – Able Archer
            Nov 23 at 3:54










          • @AbleArcher , check updated. For some games handicap key might be absent, so I added some more try/except blocks to handle this issue.. It doesn't look pretty, but should work as expected :)
            – Andersson
            Nov 23 at 8:33
















          • 1




            For now I cannot find required +1.5 -210 and -1.5 +175 under displayGroups... but I'll try to find :)
            – Andersson
            Nov 22 at 20:34










          • @Able Archer Can you tell me where exactly you found these values? :) Still cannot find them. Or they probably were updated...
            – Andersson
            Nov 22 at 20:45












          • The odds change @Andersson so the values might not be the same. I added a pic and the URL. Thanks for your help and I appreciate the try/except... Much respect!
            – Able Archer
            Nov 22 at 22:30












          • Your code is extremely helpful sir @Andersson. I am now able to print the teams like requested. My first request is complete... I would love to add the odds if possible. The info I am looking for is located after the words 'handicap' and 'american' (-1.5 and +175, for example).
            – Able Archer
            Nov 23 at 3:54










          • @AbleArcher , check updated. For some games handicap key might be absent, so I added some more try/except blocks to handle this issue.. It doesn't look pretty, but should work as expected :)
            – Andersson
            Nov 23 at 8:33










          1




          1




          For now I cannot find required +1.5 -210 and -1.5 +175 under displayGroups... but I'll try to find :)
          – Andersson
          Nov 22 at 20:34




          For now I cannot find required +1.5 -210 and -1.5 +175 under displayGroups... but I'll try to find :)
          – Andersson
          Nov 22 at 20:34












          @Able Archer Can you tell me where exactly you found these values? :) Still cannot find them. Or they probably were updated...
          – Andersson
          Nov 22 at 20:45






          @Able Archer Can you tell me where exactly you found these values? :) Still cannot find them. Or they probably were updated...
          – Andersson
          Nov 22 at 20:45














          The odds change @Andersson so the values might not be the same. I added a pic and the URL. Thanks for your help and I appreciate the try/except... Much respect!
          – Able Archer
          Nov 22 at 22:30






          The odds change @Andersson so the values might not be the same. I added a pic and the URL. Thanks for your help and I appreciate the try/except... Much respect!
          – Able Archer
          Nov 22 at 22:30














          Your code is extremely helpful sir @Andersson. I am now able to print the teams like requested. My first request is complete... I would love to add the odds if possible. The info I am looking for is located after the words 'handicap' and 'american' (-1.5 and +175, for example).
          – Able Archer
          Nov 23 at 3:54




          Your code is extremely helpful sir @Andersson. I am now able to print the teams like requested. My first request is complete... I would love to add the odds if possible. The info I am looking for is located after the words 'handicap' and 'american' (-1.5 and +175, for example).
          – Able Archer
          Nov 23 at 3:54












          @AbleArcher , check updated. For some games handicap key might be absent, so I added some more try/except blocks to handle this issue.. It doesn't look pretty, but should work as expected :)
          – Andersson
          Nov 23 at 8:33






          @AbleArcher , check updated. For some games handicap key might be absent, so I added some more try/except blocks to handle this issue.. It doesn't look pretty, but should work as expected :)
          – Andersson
          Nov 23 at 8:33















          1














          This is a JSON formatted data, so use the python json module



          import json
          json.loads('["foo", {"bar":["baz", null, 1.0, 2]}]')
          >>> ['foo', {'bar': ['baz', None, 1.0, 2]}]


          You can use the debugger to observe the datastructure, the loads(str) function will return. It will be a dict in your case. Then navigate in the lists and dictionaries.






          share|improve this answer





















          • Thanks for your response @handras! I will spend some time trying to learn from this.
            – Able Archer
            Nov 26 at 3:10
















          1














          This is a JSON formatted data, so use the python json module



          import json
          json.loads('["foo", {"bar":["baz", null, 1.0, 2]}]')
          >>> ['foo', {'bar': ['baz', None, 1.0, 2]}]


          You can use the debugger to observe the datastructure, the loads(str) function will return. It will be a dict in your case. Then navigate in the lists and dictionaries.






          share|improve this answer





















          • Thanks for your response @handras! I will spend some time trying to learn from this.
            – Able Archer
            Nov 26 at 3:10














          1












          1








          1






          This is a JSON formatted data, so use the python json module



          import json
          json.loads('["foo", {"bar":["baz", null, 1.0, 2]}]')
          >>> ['foo', {'bar': ['baz', None, 1.0, 2]}]


          You can use the debugger to observe the datastructure, the loads(str) function will return. It will be a dict in your case. Then navigate in the lists and dictionaries.






          share|improve this answer












          This is a JSON formatted data, so use the python json module



          import json
          json.loads('["foo", {"bar":["baz", null, 1.0, 2]}]')
          >>> ['foo', {'bar': ['baz', None, 1.0, 2]}]


          You can use the debugger to observe the datastructure, the loads(str) function will return. It will be a dict in your case. Then navigate in the lists and dictionaries.







          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Nov 22 at 20:09









          handras

          271115




          271115












          • Thanks for your response @handras! I will spend some time trying to learn from this.
            – Able Archer
            Nov 26 at 3:10


















          • Thanks for your response @handras! I will spend some time trying to learn from this.
            – Able Archer
            Nov 26 at 3:10
















          Thanks for your response @handras! I will spend some time trying to learn from this.
          – Able Archer
          Nov 26 at 3:10




          Thanks for your response @handras! I will spend some time trying to learn from this.
          – Able Archer
          Nov 26 at 3:10


















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