Do I need an account with Shopify?

Yes. You connect your own Shopify account once, from Ingest, and the data comes from what that account can see.

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

Ecommerce

Ready to use

Shopify data, published as Shopify publishes it. Ingest delivers this data to a data warehouse you own as 6 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`	Every customer, with the default email, phone and address.
locations `locations`	Every location, active or not, with its address.
order_line_items `order_line_items`	Every line item of every order, paged per order so an order with more than 250 items is read whole; _ingest_parent_key holds the order's id.
orders `orders`	Every order Shopify lets the app read (the last 60 days without read_all_orders), with its totals in the store's currency.
product_variants `product_variants`	Every product variant, read from Shopify's own variant list rather than from under each product.
products `products`	Every product in the store, with its options.

How it works

Choose Shopify. Connect your Shopify account once, from Ingest.
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?: Yes. You connect your own Shopify account once, from Ingest, and the data comes from what that account can see.
Which warehouses can Shopify 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 shopify, version 0.1.0, a GRAPHQL source, status beta, authentication oauth2.

Vendor documentation: https://shopify.dev/docs/api/admin-graphql/2026-07

Configuration

Key	Label	Type	Required
`shop`	Store name (the part before .myshopify.com)	string	yes

Resources

Resource	Status	Plan	Write	Primary key	Overrides
`customers` Every customer, with the default email, phone and address.	beta	watermark	merge	`id`	backfill_days
`locations` Every location, active or not, with its address.	beta	full	merge	`id`	-
`order_line_items` Every line item of every order, paged per order so an order with more than 250 items is read whole; _ingest_parent_key holds the order's id.	beta	parent_child	merge	`id`	-
`orders` Every order Shopify lets the app read (the last 60 days without read_all_orders), with its totals in the store's currency.	beta	watermark	merge	`id`	backfill_days
`product_variants` Every product variant, read from Shopify's own variant list rather than from under each product.	beta	watermark	merge	`id`	backfill_days
`products` Every product in the store, with its options.	beta	watermark	merge	`id`	backfill_days

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: Etsy, Faire, Walmart Marketplace, Walmart Connect, Mercado Libre, Mirakl.

Get Shopify data into your warehouse

Last updated 2026-10-16.