InstagramAPIのコメントが抜け出せません。

前提・実現したいこと

InstagramのGraph APIを使用して、
Instagramの分析をしようとしております。

こちらのリンクを参考に進めているのですが、
コメントがうまく抜けません。

コメントのカラムがないのでは、と思っているのですが、
解決方法をご教示頂けますと幸いです。

発生している問題・エラーメッセージ

---------------------------------------------------------------------------
KeyError                                  Traceback (most recent call last)
<ipython-input-7-58908664bad4> in <module>
     31 
     32 df_likers = posts_likers_to_df(likers)
---> 33 df_commenters = posts_commenters_to_df(commenters)

<ipython-input-7-58908664bad4> in posts_commenters_to_df(commenters)
     15     # Include username and full_name of commenter in 'comments' list of dicts
     16     for i in range(len(commenters)):
---> 17         if len(commenters[i]['comments']) > 0: # checks if there is any comment on the post
     18             for j in range(len(commenters[i]['comments'])):
     19                 # Puts username/full_name one level up

KeyError: 'comments'

---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
<ipython-input-8-ed1249161f9c> in <module>
      4 print('Distinct users that liked your posts: ' +str(df_likers.username.nunique())) # nunique() will count distinct values of a col
      5 print('---------')
----> 6 print('Total comments on profile: ' + str(df_comment.shape[0]))
      7 print('Distinct users that commented your posts: ' +str(df_comment.username.nunique()))

NameError: name 'df_comment' is not defined

該当のソースコード

Python
1from InstagramAPI import InstagramAPI
2import pandas as pd
3from pandas.io.json import json_normalize
4
5def login_to_instagram(username, password):
6    api = InstagramAPI(username, password)
7    api.login()
8    
9    return api
10
11api = login_to_instagram('XXXX','YYYY')
12
13def get_my_posts(api):
14    '''Retrieve all posts from own profile'''
15    my_posts = []
16    has_more_posts = True
17    max_id= ''
18
19    while has_more_posts:
20        api.getSelfUserFeed(maxid=max_id)
21        if api.LastJson['more_available'] is not True:
22            has_more_posts = False #stop condition
23
24        max_id = api.LastJson.get('next_max_id','')
25        my_posts.extend(api.LastJson['items']) #merge lists
26#         time.sleep(2) # slows down to avoid flooding
27
28        if has_more_posts:
29            print(str(len(my_posts)) + ' posts retrieved so far...')
30
31    print('Total posts retrieved: ' + str(len(my_posts)))
32    
33    return my_posts
34
35my_posts = get_my_posts(api)
36
37def get_posts_likers(api, my_posts):
38    '''Retrieve all likers on all posts'''
39    
40    likers = []
41    
42    print('wait %.1f minutes' % (len(my_posts)*2/60.))
43    for i in range(len(my_posts)):
44        m_id = my_posts[i]['id']
45        api.getMediaLikers(m_id)
46        
47        likers += [api.LastJson]
48        
49        # Include post_id in likers dict list
50        likers[i]['post_id'] = m_id
51        
52#         time.sleep(2)
53    print('done')
54    
55    return likers
56
57
58likers = get_posts_likers(api, my_posts)  
59
60def get_posts_commenters(api, my_posts):
61    '''Retrieve all commenters on all posts '''
62    
63    commenters = []
64    
65    print('wait %.1f minutes' % (len(my_posts)*2/60.))
66    for i in range(len(my_posts)):
67        m_id = my_posts[i]['id']
68        api.getMediaComments(m_id)
69        
70        commenters += [api.LastJson]
71        
72        # Include post_id in commenters dict list
73        commenters[i]['post_id'] = m_id
74            
75#         time.sleep(2)
76    print('done')
77    
78    return commenters
79
80commenters = get_posts_commenters(api, my_posts)
81
82def posts_likers_to_df(likers):
83    '''Transforms likers list of dicts into pandas DataFrame'''
84    
85    # Normalize likers by getting the 'users' list and the post_id of each like
86    df_likers = json_normalize(likers, 'users', ['post_id'])
87    
88    # Add 'content_type' column to know the rows are likes
89    df_likers['content_type'] = 'like'
90    
91    return df_likers
92
93def posts_commenters_to_df(commenters):
94    '''Transforms commenters list of dicts into pandas DataFrame'''
95    
96    # Include username and full_name of commenter in 'comments' list of dicts
97    for i in range(len(commenters)):
98        if len(commenters[i]['comments']) > 0: # checks if there is any comment on the post
99            for j in range(len(commenters[i]['comments'])):
100                # Puts username/full_name one level up
101                commenters[i]['comments'][j]['username'] = commenters[i]['comments'][j]['user']['username']
102                commenters[i]['comments'][j]['full_name'] = commenters[i]['comments'][j]['user']['full_name']
103                
104    # Create DataFrame
105    # Normalize commenters to have 1 row per comment, and gets 'post_id' from parent 
106    df_commenters = json_normalize(commenters, 'comments', 'post_id')
107    
108    # Get rid of 'user' column as we already handled it above
109    del df_commenters['user']
110    
111    return df_commenters
112
113df_likers = posts_likers_to_df(likers)
114df_commenters = posts_commenters_to_df(commenters)
115
116#一個目のエラー
117
118print('Total posts: ' + str(len(my_posts)))
119print('---------')
120print('Total likes on profile: ' + str(df_likers.shape[0])) #shape[0] represents number of rows
121print('Distinct users that liked your posts: ' +str(df_likers.username.nunique())) # nunique() will count distinct values of a col
122print('---------')
123print('Total comments on profile: ' + str(df_comment.shape[0]))
124print('Distinct users that commented your posts: ' +str(df_comment.username.nunique()))
125
126#二個目のエラー