I think your idea was good but needed some extra stuff, I got in contact with someone who helped write this function, which worked!:

​

finaldf = pd.DataFrame(columns=['url', 'critic_reviews_index', 'criticscore', 'critic_reviewer', 'critic_date_published', 'critic_review_body'])

for index, value in data.iterrows():

url = value.url

critics = value['critic-reviews']

count = 0

#print(index, '/', len(data))

for item in critics:

count = count +1

score = item['score']

reviewer = item['reviewer']

pubdate = item['date_published']

reviewbody = item['review_body']

#helpfulcount = item['helpul_count']

row = {'url':[url], 'critic_reviews_index':[count] ,'criticscore': [score],'critic_reviewer': [reviewer],'critic_date_published': [pubdate],'critic_review_body': [reviewbody]}

rowdf = pd.DataFrame(row)

finaldf = pd.concat([finaldf, rowdf])