Shopify Product Metafields: What They Are and How to Edit Them in Bulk

Shopify’s built-in product fields cover the basics: title, description, price, vendor, type, tags, SKU. But modern Shopify stores routinely need to store additional structured data — washing instructions, material composition, size guides, sustainability certifications, compatible accessories. This is what metafields are for. And editing them across hundreds of products is currently one of the most developer-dependent tasks in all of Shopify.

What Are Shopify Product Metafields?

Metafields are custom data fields that can be attached to any Shopify resource — products, variants, collections, orders, and more. For products specifically, they let you store any structured data that Shopify’s standard fields don’t cover.

Examples: material_composition (text: “80% merino wool, 20% nylon”), care_instructions (text: “Hand wash cold, lay flat to dry”), certifications (list: [“GOTS Certified”, “OEKO-TEX Standard 100”]), warranty_period (integer: 24 months), related_blog_post (URL metafield).

Since Shopify 2.0, metafield values can be displayed directly in your theme using Liquid without custom app code — which has made metafields the standard way to add structured product data to modern Shopify stores.

How Metafields Are Currently Managed in Shopify

Shopify’s admin lets you define metafield definitions (the schema) and edit individual metafield values per product. The per-product editing interface is accessible via the product page in admin, but it requires navigating to each product individually.

There is no native way to set a metafield value across multiple products simultaneously, to audit which products are missing a metafield, or to apply a consistent value to all products of a given type or vendor.

For a store that needs to add care instructions to every product in a specific collection, or update a certification field for a range of 50 products after receiving a new supplier document, this requires either individual editing or developer-built tooling — neither of which is accessible to most merchants.

Common Bulk Metafield Use Cases

Filling in missing structured data: When you add a new metafield definition (e.g., material composition), every existing product initially has a blank value. Filling them in one by one is impractical at scale.

Updating after supplier changes: Your supplier updates their care instructions or certifications. You need to update that metafield for every product from that supplier simultaneously.

Seasonal or campaign data: Adding a sale_badge metafield to a selected set of products, or setting a featured_in_lookbook metafield for products that appear in a seasonal lookbook.

Migration from custom apps: Stores migrating from apps that stored data in app-specific storage often need to bulk-populate metafields with the same data.

What a Bulk Metafield Editor Needs to Do

A useful bulk metafield editor must respect Shopify’s metafield type system. Shopify defines metafield types: single_line_text_field, multi_line_text_field, number_integer, number_decimal, url, json, date, etc. A bulk editor that just treats all metafields as text will corrupt typed fields.

It also needs to allow filtering before bulk-applying — applying a value to all products of a specific type, vendor, or tag set, rather than requiring manual product selection.

AssetScope’s Metafield Editor is coming soon and will provide a full catalogue view of metafield coverage, with type-aware editing and bulk-apply to filtered product sets.

See all 15 tools in AssetScope →