Products
Titles, descriptions, pricing, SKUs, status and supported product fields.
Move your products, customers, orders and other store data to Shopify with structured extraction, data mapping, validation and API-powered migration.
We review your source data first, map it to Shopify’s structure, then migrate and validate it — instead of rebuilding thousands of records by hand.
Magento · WooCommerce · Shopify to Shopify · Database and SQL exports
Replatforming usually stalls on the data, not the design. Every product, customer and order has to arrive in Shopify in a structure Shopify understands.
Platforms store data differently. Fields that exist in Magento or WooCommerce may have no direct equivalent in Shopify, and relationships between records have to be rebuilt rather than copied.
Done by hand, that means weeks of copying and re-entering, with mistakes that only surface after launch.
What can be migrated depends on the source system and the data available in it. We review that before any work is quoted.
Magento stores hold deeply structured product and attribute data, built up over years of trading. Attribute sets, configurable products and customer groups have no direct Shopify equivalent, so each one needs a mapping decision rather than a copy.
We work from the database or structured exports, map attributes, variants and customer records to Shopify’s structure, then validate the result against the source.
Request a Migration QuoteWooCommerce data sits across WordPress tables, and is usually shaped by the plugins a store has collected over the years. Custom fields often live in places a standard export never reaches.
We extract products, variations, customers and orders directly from the database, map what Shopify supports, and tell you up front about anything that has no clean equivalent.
Request a Migration QuoteStore-to-store moves for consolidation, regional splits or a rebuild on a new store. The structures match, so the work is less about translation and more about completeness.
Products, collections, customers, metafields and supported order data are moved between stores, then checked record by record against the source within the agreed scope.
Request a Migration QuoteUsing a platform that isn’t listed? Send us a sample of the data and we’ll tell you honestly whether we can migrate it.
The records most stores need moved, subject to what exists in the source data.
Titles, descriptions, pricing, SKUs, status and supported product fields.
Options, combinations and variant-level pricing mapped to Shopify’s variant model.
Customer records and addresses, where the source data contains them.
Historical orders with line items, mapped to Shopify’s order structure.
Categories and collections, rebuilt as Shopify collections.
Custom fields and attributes mapped into Shopify metafields.
Content pages and supported static content.
Product and content images, linked to the right records.
Migration scope depends on the source platform, the database structure and the data actually available in the source. We confirm scope in writing before the migration starts.
Tell us where your store is coming from, what data you need to migrate and roughly how much data you have. We’ll review the scope and let you know how we can approach the migration.
Not every migration starts with a simple CSV export. Larger and older stores usually hand over a database, not a spreadsheet.
If you have a supported ecommerce database export, SQL file or structured data export, we can review the source structure, identify the relevant ecommerce data, map it to Shopify and migrate the agreed data set.
Working from the database often preserves more than a plugin export does — particularly order history, customer records and custom fields that exports tend to flatten or drop.
Your SQL file, database export or structured data export.
The relevant ecommerce data is pulled out of the source structure.
Source fields are matched to Shopify’s data structure.
Mapped records are imported through Shopify APIs.
Migrated records are checked against the source data.
Migration feasibility depends on the source platform, database structure, available data and required migration scope. Send a sample or the schema and we’ll tell you what can be migrated before you commit to anything.
Five stages, with the mapping agreed before anything is written into Shopify.
Every ecommerce platform structures products, customers, orders and custom fields differently. We review your actual source data before migration so we can identify what can be moved directly, what needs mapping and what requires a different approach.
That review happens before any quote, so you know the scope and the trade-offs up front rather than discovering them halfway through.
We review the available source data — database structure, exports or the source system itself — and agree what is in scope.
We extract the required ecommerce data from the source system in a structured form.
Source fields are mapped to the appropriate Shopify data structure, including fields with no direct equivalent.
Mapped data is imported into Shopify using the appropriate Shopify APIs and migration workflows.
We validate migrated records and investigate mismatches, missing data or mapping issues before launch.
Automated processing for the repetitive parts, human judgement for the parts that need it.
CartScholar has developed its own migration tooling to help automate repetitive extraction, mapping and import work.
Our workflow can extract structured ecommerce data, map source fields to Shopify’s data structure, process supported datasets and push migrated records through Shopify APIs.
Automation reduces repetitive manual work, while our team handles mapping decisions, validation and migration edge cases.
Ecommerce data pulled out of the source system in a consistent, repeatable structure.
Source fields matched to Shopify’s product, customer and order structure.
Mapped records written into Shopify through its own APIs rather than ad-hoc imports.
The repetitive work across large datasets handled by tooling instead of manual entry.
Migrated records checked against the source data within the agreed scope.
Unusual fields, relationships and source quirks reviewed and resolved by the team.
We validate the migrated data against the agreed migration scope, then investigate anything that doesn’t line up.
Product, variant, customer and order records checked against the source.
Collections, metafields and important mappings reviewed for correctness.
Images checked for presence and association with the right records.
Missing or mismatched records identified, investigated and reported.
Validation covers the records and fields inside the agreed scope. It is a structured check against the source data, not a guarantee that every possible issue will be detected automatically.
Migration is a data problem before it is a design problem. That’s how we approach it.
Data is mapped before it is imported into Shopify, so decisions are made deliberately rather than discovered later.
Automation handles the repetitive data-entry and import tasks that make manual migrations slow and error-prone.
Supported data is pushed into Shopify through API-based workflows rather than ad-hoc spreadsheet imports.
Migration is followed by data checks against the source, with issues investigated before launch.
We work with Shopify themes, APIs, metafields, products, collections, apps and store configuration day to day.
Yes, depending on the source data available and the agreed migration scope. Magento stores vary a lot in structure, so we review the database or exports first and confirm what can be mapped to Shopify before quoting.
Yes, depending on the data structure and the scope required. WooCommerce data is shaped by the plugins a store uses, so we check how products, variations, customers and orders are stored before confirming scope.
Yes, where the source data contains the required information and those records are in scope. Historical orders are mapped to Shopify’s order structure, which differs from most source platforms.
Yes. Supported product and variant data is mapped to Shopify’s product and variant model, including options and variant-level pricing where the source provides them.
It depends on the source system. Some migrations work entirely from database exports, SQL files or structured data exports. Others need access to the source system or its API. We tell you which applies after reviewing the source.
Larger migrations can be handled, but the approach depends on the source database, record volume, how records relate to each other and the scope agreed. Volume affects the method and the timeline, so we review it up front.
No migration is a literal one-to-one copy. Source platforms and Shopify use different data structures, so fields and relationships have to be mapped, and some source fields have no Shopify equivalent. We review the scope and the mapping with you before the project starts.
It depends on the source platform, data volume, complexity, custom fields, how records relate to each other and the validation required. We give a timeline once we have reviewed the source data rather than quoting a fixed number of days up front.
Tell us where your store is currently hosted, what data needs to be migrated and your approximate data volume. We’ll review the migration scope and provide a quote.