Free daily expense tracker excel sheet4/21/2024 ![]() Once you map the expenses/income data, it will appear in the Expense Tracker sheet of the expense tracker Google Sheets. The only thing left is to allocate categories (Income or Expense) to the imported data. date(1970,1,1) – the date value for the Unix Epoch, Janu(25569).86400 – the number of seconds in a day (24 hours x 60 minutes x 60 seconds). ![]() To convert them into real data, apply the following formula based on the ARRAYFORMULA + DATE functions in the A2 cell: =arrayformula( The values in the time column are in the unix epoch time format (in seconds). ![]() Learn more about the power of the QUERY Function Google Sheets. We applied the following QUERY formula in the E2 cell to reference the amount and description columns: =query('monobank transactions'!C2:E24,"select E, C") In our case, these are three columns: time, description, and amount. With the raw data imported to Google Sheets, you need to query it to the Import your income/expenses sheet of your daily expense tracker Google Sheets. Query the spending data to your daily expense tracker in Google Sheets After that, Coupler.io will refresh the data automatically every day. Once the parameters are set up, click Save & Run to make the initial data import. Configure importer’s schedule settings: Set up the Automatic data refresh on a schedule.Īs an example, check out the parameters I used to set up the integration with Monobank to export bank transactions to spreadsheets: Parameter.Set up your data destination: Choose the file to transfer information to and configure the data import mode and range.Set up your data source: Fill out the fields in the Source section based on the API documentation of your bank.Click the Add importer button, then select JSON as a source app, and Google Sheets as a destination app. Sign up to Coupler.io and start your data integration journey by creating your first importer. You can learn more about how it works in this API to Google Sheets guide. To connect to the web APIs, Coupler.io provides a JSON integration. You can use the Coupler.io web app or install the Google Sheets add-on from the Google Workspace Marketplace. It is a tool that allows users to automatically import data from multiple sources, such as Pipedrive, Xero, and others to Google Sheets, Excel, and BigQuery. We will fetch data from a banking web API using Coupler.io. How to import bank transactions to the Google Sheets expense tracker template The only prerequisite for this is checking the API available at your bank. This can be done automatically with Coupler.io. For non-cash spending and revenues, it’s better to import transactions from your bank. It’s convenient for the expenses in cash. You can input the expense/income data manually. Amount – specify the amount of income/expense in the currency you need.(The list consists of the expense categories from the Expense Tracker sheet) Expense – select the type of expense from the drop-down list.(The list consists of the income categories from the Expense Tracker sheet) Income – select the type of income from the drop-down list. ![]()
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