WePay CSV to QFX conversion script in python. Just change the filenames and run the script in the same folder as your input csv. With some modification, this script will allow you to prep a QFX file for MoneyMinder import from a payment processor like WePay that doesn't provide QFX files.

wepaycsv2qfx.py

import csv
from datetime import datetime

# Open the CSV file
with open('wepay-input.csv', 'r') as csvfile:
    # Create a reader object
    reader = csv.DictReader(csvfile)
    
    # Open the QFX file
    with open('wepay-output.qfx', 'w') as qfxfile:
        # Write the header for the QFX file
        qfxfile.write('OFXHEADER:100\nDATA:OFXSGML\nVERSION:102\nSECURITY:NONE\nENCODING:USASCII\nCHARSET:1252\nCOMPRESSION:NONE\nOLDFILEUID:NONE\nNEWFILEUID:NONE\n\n<OFX>\n<BANKMSGSRSV1>\n<STMTTRNRS>\n<STMTRS>\n<BANKTRANLIST>\n')
        
        # Iterate through the rows in the CSV file
        for row in reader:
            # Write the data for each transaction to the QFX file
            datetime_str = row['date']
            # datetime_object = datetime.strptime(datetime_str, '%m/%d/%y %H:%M')
            datetime_object = datetime.strptime(datetime_str, '%Y-%m-%d %H:%M:%S %Z')


            # date object to string with format %Y%m%d%H%M%S[%z:%Z]
            dateFmt = datetime_object.strftime('%Y%m%d%H%M%S')+'[0:GMT]'

            # OFX transaction type:
            if row['payee'] == 'Chase': 
                txType = 'TRANSFER' 
            elif row['type'] == 'Payment': 
                txType = 'CREDIT'
            else:
                txType = 'DEBIT'

            # skip transfers in output file for now
            if txType != 'TRANSFER':
                qfxfile.write(f'<STMTTRN>\n<DTPOSTED>{dateFmt}</DTPOSTED>\n<TRNTYPE>{txType}<TRNTYPE>\n<FITID>{row["transaction_id"]}</FITID>\n<NAME>{row["payer"]}</NAME>\n<MEMO>gross:{row["amount"]} fees:{row["fees"]} {row["status"]} {row["transaction_id"]}</MEMO>\n<TRNAMT>{row["net"]}</TRNAMT>\n<REFNUM>{row["payer"]}</REFNUM>\n</STMTTRN>\n')
        
        # Write the footer for the QFX file
        qfxfile.write('</BANKTRANLIST>\n</STMTRS>\n</STMTTRNRS>\n</BANKMSGSRSV1>\n</OFX>')

# convert row['date'] to python date object and format it as %Y%m%d%H%M%S[%z:%Z]