要从字符串解析json，请使用 json.loads （注意 s 最后）。但是从 urlopen 不是json格式（它是html页面）。要解析它，可以使用 pandas.read_html :

import pandas as pd

url = "https://sis.ou.edu/ted/home/byOther?stat_code=ID&sbgi_code=004114&trns_subj_code=&trns_subj_crse="
df = pd.read_html(url)[0]
print(df)

印刷品：

TransferSubject TransferCourse                  Transfer Title    TransferHours          TransferLevel Connector OU Subject  OU Course                        OU Title  OUCredits                       Gen. Ed.  Pass
0              ACCB            129     INTRODUCTION TO BOOKKEEPING                5         LOWER DIVISION       NaN        TRF       1999  LOWER DIVISION TRANSFER CREDIT          5                            NaN   NaN
1              ACCB            229       QUICKBOOKS PRO ACCOUNTING                5         LOWER DIVISION       NaN        TRF       1999  LOWER DIVISION TRANSFER CREDIT          5                            NaN   NaN
2              ACCT            201              PRIN OF ACCOUNTING                4  Lower Division Course       NaN       ACCT       2113   FUNDMNTL FINANCIAL ACCOUNTING          3                            NaN   NaN
3              ACCT            201              PRIN OF ACCOUNTING                4  Lower Division Course       AND       ACCT       1999  LOWER DIVISION TRANSFER CREDIT          1                            NaN   NaN
4              ACCT            202                PRINC OF ACCT II                4  Lower Division Course       NaN       ACCT       2123  FUNDMNTL MANAGERIAL ACCOUNTING          3                            NaN   NaN
5              ACCT            202                PRINC OF ACCT II                

...and so on.