A user wants to create a Shopify Flow workflow that monitors product expiration dates stored in metafields and sends email alerts (e.g., 10 days before expiration) for over 6,000 products.
Current Limitation:
A recent API update allows querying products by metafield values, but date-based queries are not yet supported
Direct date comparison in Flow workflows is not possible with the current metafield system
Suggested Workaround:
Convert the date metafield to a single-line text format instead of using the date type
Use a scheduled trigger combined with “Get product data” action to identify products expiring on specific dates
This approach could work for same-day expiration checks
Scalability Concern:
Scanning all 6,000 products daily would be necessary with date metafields, but there’s no straightforward way to implement this efficiently in Flow
The workaround with text-based dates offers better feasibility for large product catalogs
Status: The discussion remains open with no complete solution for date-based metafield queries.
Summarized with AI on November 2.
AI used: claude-sonnet-4-5-20250929.
Can I set up a workflow in Shopify Flow using metafields to send email alerts before a product’s expiration date? I want the workflow to fetch product data, check if a specified metafield date (e.g., expiration or notification date) matches a pre-defined date (e.g., 10 days before the expiration date), and send an email alert. I have over 6000 products—can this workflow efficiently handle such a large dataset?
If the field was a string you might be able to use a scheduled time trigger + Get product data to find products that expire today.
You could convert the date metafield into a single line text metafield and then do this approach.
If it’s a date, you would have to periodically scan all 6000 but there is no straight-forward way to do that on a daily basis.