Get the latest release from https://github.com/tinel-c/ing-csv-to-ynab-csv/releases
Follow the steps each time you want to import:
- Place the csv file in the same folder with ing_covert_to_ynab.exe
- Execute ing_convert_to_ynab.exe by double clicking on it
- Import to YNAB the resulted csv file ynab_.csv
Before use:
- open ing_convert_to_ynab.py with your favorite editor and edit your usual store and categories.
- Install python on your PC.
Follow the steps each time you want to import:
- Export transactions to a csv file from homebank.ro (-filename-.csv)
- Place the py script in the same folder
- Execute the py script to output ynab_-filename-.csv
- Import the ynab_-filename-.csv file to YNAB 4 with csv import option (ctrl+i)
Data,,,Detalii_tranzactie,,Debit,Credit
23 martie 2018,,,Cumparare POS,,"xx,xx",
,,,Nr. card: xxxx xxxx xxxx xxxx,,,
,,,Terminal: Numele companiei,,,
24 martie 2018,,,Cumparare POS,,"xx,xx",
,,,Terminal: Numele companiei,,,
What does YNAB look for in a CSV file? In order to import a CSV file into YNAB it must follow a specific structure. The 3 line example below outlines exactly how a file might look if it contained only 2 transactions.
Date,Payee,Category,Memo,Outflow,Inflow
01/25/12,Sample Payee,,Sample Memo for an outflow,100.00,
01/26/12,Sample Payee 2,,Sample memo for an inflow,,500.00
To format your file the way YNAB requires, open it in a text editor and make your transactions look like the sample ones above.
You'll notice every field is separated by a comma so it's important that every field is present in each line, even if your transactions don't fill every field. Always include the "Date,Payee,Category,Memo,Outflow,Inflow" line at the very top as it is required.
Any field can be left blank except the date. Valid date formats:
DD/MM/YY
DD/MM/YYYY
DD/MM//YYYY
MM/DD/YY
MM/DD/YYYY
MM/DD//YYYY
Categories will only import if the category already exists in your budget file with the exact same name. Otherwise the categories will be ignored when importing the file. Also, make sure that the categories are listed with the master category, followed by a colon, then the sub category. For example Everyday Expenses: Groceries
Converter for pyton 3 to exe:
$ pip install auto-py-to-exe
Then to run it, execute the following in the terminal:
$ auto-py-to-exe