rossum_extract_to_table.py

import pandas as pd
import rossum

extracted = rossum.extract('invoice.pdf')
# max score only:
df = pd.DataFrame.from_dict(extracted['fields'])
idx = df.groupby('name')['score'].idxmax()
print(df.iloc[idx][['name', 'value']].to_string(index=False))

table_of_extracted_fields.txt

name                          value
       amount_due                           0.00
      amount_paid                          99.00
     amount_total                          99.00
amount_total_base                          99.00
         date_due                     2017-11-11
       date_issue                     2017-11-11
  sender_addrline  19989 Stevens Creek Boulevard
      sender_name                         odrive
            terms                     On-Receipt