# Schedule Daily Shopify Order Exports to Google Sheets 5 min setup No coding required Runs automatically Streamline order tracking by scheduling a daily export of Shopify orders into Google Sheets. This MESA workflow template works with the “Collect and organize your Shopify orders by order date” template, storing orders for easy export on a set schedule. Simplify data management, improve organization, and save time by eliminating manual order tracking with automated, daily updates to Google Sheets. ### Daily Schedule - Query Yesterday's Orders - Create New Spreadsheet - Bulk Add Rows ## How it works 4 steps to start receiving daily order exports in Google Sheets automatically ### Daily Schedule App connector: [Schedule](/content/apps/schedule/integrate "View Schedule integration page"/index.html)• Time to complete: 1 minute **Why this matters:** This trigger runs your workflow at the same time every day, ensuring you get consistent order exports without having to remember to run them manually. This step automatically triggers the workflow daily at midnight but can be customized as needed. The Schedule trigger is pre-configured to run once per day and doesn’t require any setup from you. When it fires, it passes the current timestamp to the next step, which gets used to determine which orders to export (typically the previous day’s orders). ### Query Yesterday's Orders App connector: [Data](/content/apps/data/integrate "View Data integration page"/index.html)• Time to complete: 2 minutes **Why this matters:** This step retrieves the specific order data from your database that needs to be exported, filtering for orders created in the last 24 hours so you only get fresh data. This step runs a SQL query against your order database to fetch records created since yesterday. You’ll need to replace “Add table name here” with your actual orders table name (commonly “orders” or “shopify_orders”). The query automatically calculates yesterday’s date and filters for orders created after midnight of the previous day. The retrieved order data gets passed to the Google Sheets creation step as a dataset ready for export. ### Create New Spreadsheet App connector: [Google Sheets](/content/apps/googlesheets/integrate "View Google Sheets integration page"/index.html)• Time to complete: 1 minute **Why this matters:** This creates a new Google Sheets file with a timestamped name, so you can easily identify which day’s orders each export contains. This step creates a fresh Google Sheets spreadsheet with a title that includes the current date and time, like “Order Export for 2024-01-15T00:00:00+00:00”. You’ll need to connect your Google account and authorize MESA to create spreadsheets on your behalf. The newly created spreadsheet ID gets passed to the final step so the order data can be inserted into the correct file. ### Bulk Add Rows App connector: [Google Sheets](/content/apps/googlesheets/integrate "View Google Sheets integration page"/index.html)• Time to complete: 0 minutes (Auto-configured) **Why this matters:** This step takes all the order data from your query and inserts it into the spreadsheet in one efficient operation, creating your final export file. This step receives the order data from the SQL query and the spreadsheet ID from the previous step, then inserts all the order records as rows in the “Sheet1” tab. The bulk operation handles multiple orders at once, so whether you have 5 orders or 500 orders from yesterday, they all get added to your spreadsheet in a single action. Each order becomes one row with all the fields from your database query as columns. ## Frequently asked questions ### What happens if there are no orders to export on a given day? The workflow will still create a new spreadsheet, but it will only contain the column headers with no data rows. This gives you a consistent daily file structure even on slow sales days. ### Can I customize which order fields get exported to the spreadsheet? Yes, you can modify the SQL query in step 2 to select only specific columns like order_id, customer_email, and total_price, or add calculated fields like profit margins or shipping costs. ### Will this work with very large order volumes? The bulk add operation can handle thousands of rows efficiently, but if you regularly process more than 10,000 orders per day, consider adding a step to split the data across multiple spreadsheet tabs or separate files. ## Make this template your own! Customize this workflow even further: - Add custom date ranges - Include customer data enrichment - Send automated email reports - Store summary metrics in tables ## You're in good company Avg. 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