Re: Importing Apple Cash Transactions into Quicken

barry
Member
The original thread for this was closed (https://community.quicken.com/discussion/7929653/importing-apple-cash-transactions-into-quicken), but I wanted to add another quick way of importing the items for those that don't have access to excel. This python script will do the trick.
from PyPDF2 import PdfReader import pandas as pd # Reload the PDF file pdf_path = "Apple Cash Statement.pdf" reader = PdfReader(pdf_path) # Initialize a list to store extracted transactions transactions = [] # Iterate over all pages and extract the relevant data for page in reader.pages: text = page.extract_text() lines = text.split("\n") for i in range(len(lines) - 1): # Iterate through pairs of lines if "Daily Cash from Apple Card" in lines[i]: try: # Extract the date from the first line date = lines[i].split()[0] # First field is the date # Extract the amount from the second line (second field) second_line_parts = lines[i + 1].split() amount = float(second_line_parts[1].replace("$", "").replace(",", "")) # Second field is the amount # Append the extracted information to the transactions list transactions.append({ "Date": date, "Description": "Apple Daily Cash", "Original Description": "", "Amount": amount, "Transaction Type": "credit", "Category": "", "Account Name": "Apple Cash", "Labels": "Apple_Daily_Cash", "Notes": "" }) except Exception as e: # Handle any parsing errors gracefully continue # Convert the list of transactions to a DataFrame df_transactions = pd.DataFrame(transactions) # Save the DataFrame to a CSV file output_csv_path = "out.csv" df_transactions.to_csv(output_csv_path, index=False) output_csv_path
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