Do I need an account with Shopify (sample data)?

No. The data is public, so there is nothing to sign up for and nothing to paste in.

How fresh is the data?

As fresh as your schedule: daily by default, or weekly or monthly. Schedules as often as every 15 minutes are on the Enterprise plan.

Will running it again create duplicate rows?

No. Each row is stored once, by its key: when a run reads a row that is already there, it replaces that copy instead of adding a second one.

Do I need to write code?

No. Ingest builds, runs and maintains the connector. Someone with access to your warehouse connects it once, following a short guide.

Shopify (sample data)

Commerce

Ready to useNo account needed

Shopify (sample data) data, published as Shopify (sample data) publishes it. Ingest delivers this data to a data warehouse you own as 3 tables, and updates it on the schedule you choose. There is no code to write and nothing to install.

What you get

Table	Each row is
customers `customers`	Customers with their location, marketing consent, order count and lifetime spend.
orders `orders`	Every order with its totals, discount code, UTM attribution and shipping location; line items land in a child table (orders__line_items) joined on _ingest_root_id.
products `products`	The product catalog: title, type, vendor, price and compare-at price.

How it works

Choose Shopify (sample data). The data is public, so there is nothing to sign in to.
Pick where it goes. BigQuery, Snowflake, Databricks, Redshift and 10 more, in an account you own.
Pick a schedule. Daily is the default, and weekly and monthly are there too.
Ingest runs it from then on. If a run fails, your dashboard shows which table and why.

Questions

Do I need an account with Shopify (sample data)?: No. The data is public, so there is nothing to sign up for and nothing to paste in.
Which warehouses can Shopify (sample data) data go to?: Amazon S3, Google Cloud Storage, Azure Blob Storage, Apache Iceberg, Ingest Managed Lakehouse, MotherDuck, Postgres, Amazon Athena, Databricks, Redshift, BigQuery, ClickHouse, MySQL / generic SQL and Snowflake, in an account you own.
How fresh is the data?: As fresh as your schedule: daily by default, or weekly or monthly. Schedules as often as every 15 minutes are on the Enterprise plan.
Will running it again create duplicate rows?: No. Each row is stored once, by its key: when a run reads a row that is already there, it replaces that copy instead of adding a second one.
Do I need to write code?: No. Ingest builds, runs and maintains the connector. Someone with access to your warehouse connects it once, following a short guide.

For your data team: technical reference

Connector sample_shopify, version 0.1.0, a REST source, status beta, authentication none.

Vendor documentation: https://2k247ci8d7.execute-api.us-east-1.amazonaws.com/docs

Configuration

No configuration required.

Resources

Resource	Status	Plan	Write	Primary key	Overrides
`customers` Customers with their location, marketing consent, order count and lifetime spend.	beta	full	merge	`customer_id`	-
`orders` Every order with its totals, discount code, UTM attribution and shipping location; line items land in a child table (orders__line_items) joined on _ingest_root_id.	beta	full	merge	`order_id`	-
`products` The product catalog: title, type, vendor, price and compare-at price.	beta	full	merge	`product_id`	-

Setting up the destination is its own short guide, one per warehouse or lake: Amazon S3, Google Cloud Storage, Azure Blob Storage, Apache Iceberg, Ingest Managed Lakehouse, MotherDuck, Postgres, Amazon Athena, Databricks, Redshift, BigQuery, ClickHouse, MySQL / generic SQL, Snowflake.

Other sources Ingest connects for ecommerce teams: Shopify, Etsy, Faire, Walmart Marketplace, Walmart Connect, Mercado Libre.

Get Shopify (sample data) data into your warehouse

Last updated 2026-09-30.