The Scenario
The developer handling the schema migration has a list. He needs every product metafield — namespace, key, type, value — documented in an Excel workbook before he can safely plan which custom fields carry over to the new theme and which ones can be dropped. 400 products. Unknown number of metafields per product.
The Shopify admin shows metafields on each product page individually. There is no built-in export. He asked the merchant about it three days ago. The merchant forwarded the question to you.
The bad version:
- Open the first Shopify product in the admin, scroll to Metafields, record the namespace, key, type, and value for each one.
- Open the next product.
- Discover that some products have 2 metafields, some have 15, and there's no consistent way to tell without clicking into each one.
The migration planning meeting is Thursday. The developer needs the audit workbook before he can run a gap analysis. Two days, 400 products, unknown total metafield count.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Excel workbook. It fetches every product's metafields from Shopify in one call and writes them into the workbook — one row per metafield, consistent structure across all 400 products.
Pull all product metafields from Shopify and paste into my Metadata Excel sheet, grouped by namespace — highlight rows where the value is empty
What You Get
- One row per metafield across all 400 products, with product ID, product title, namespace, key, type, and value in labeled columns.
- Rows grouped by namespace so the developer can scan the metafield schema by category.
- Empty value cells highlighted so orphaned or incomplete metafields are immediately visible.
What If the Data Is Not Quite Ready
You only need metafields in the 'custom' namespace for the audit
Pull all product metafields from Shopify where namespace is 'custom' and write product ID, product title, key, type, and value into my Metadata Excel sheet
Variant metafields also need to be documented
Pull all product and product variant metafields from Shopify and write resource type, resource ID, product title, namespace, key, type, and value into my Metadata Excel sheet — one row per metafield
You want an empty-value flag column instead of cell highlighting
Pull all product metafields from Shopify and write product ID, product title, namespace, key, type, and value into my Metadata Excel sheet — add a column G flagging 'empty' if value is blank and 'ok' otherwise
Full migration audit: products and variants, all namespaces, empty flag, grouped by namespace
Pull all metafields for every Shopify product and product variant — write resource type, resource ID, product title, namespace, key, type, and value into my Metadata Excel sheet — group by namespace then key — flag empty values in column H — highlight rows where resource type is 'variant' in a different color
Running the grouping and empty-value logic alongside the pull means the developer gets a structured audit workbook, not a flat dump to organize manually.
Try It
Get the 7-day free trial of SheetXAI and open the schema migration workbook before Thursday's planning meeting, then ask SheetXAI to pull the full metafield audit across all products and variants. The developer gets what he needs; you avoid two days of admin clicking. Also worth reading: how to bulk update metafields once the migration plan is confirmed, or the hub overview for all Shopify workflows.