step-5.3.py

interest_dict = {}
for tag in top_hashtags.index:    
    api.getHashtagFeed(tag)
    result = api.LastJson
    interest_dict[tag] = result

urls = []
num_likes = []
tags = []
for tag in interest_dict.keys():
    items = interest_dict[tag]['items']
    for i in items:
        if 'image_versions2' in i:
            urls.append(i['image_versions2']['candidates'][1]['url'])
            num_likes.append(i['like_count'])
            tags.append(tag)
    
df_tags = pd.DataFrame(
    {'urls': urls,
     'num_likes': num_likes,
     'tag': tags
    })

top_tags = df_tags.groupby('tag').max()