Shopify integration
Shopify data, in your warehouse.
A built-in ingestr connector: add credentials, pick tables, schedule it.
name: raw.orders
type: ingestr
parameters:
source_connection: shopify
source_table: 'orders'
destination: snowflake
incremental_strategy: merge$ bruin run assets/raw/shopify.asset.yml
- extract · Shopify ordersincremental
- load · snowflake raw.ordersmerged
- checks · not_null, unique
Loaded and checked. Downstream models can run.
How it connects
Connected in three steps.
Shopify is an e-commerce platform with APIs for accessing store data.
- 01
Add a Shopify connection with its credentials.
- 02
Pick the tables to load and how: replace, append or merge.
- 03
Bruin runs it on your schedule and checks every load.
Connection parameters
- api_key
- Private app API key
- password
- Private app password
- store
- Your store's subdomain
Tables
5 tables, ready to load.
orderscustomersproductsinventorytransactions
Step-by-step
Pick a destination.
The platform
Part of the Bruin platform.
Data in, ready for everything downstream: the models, the checks, the lineage and the AI layer.
Sources
DatabasesWarehousesApps & APIsFiles & storageStreams & webhooksWeb scrapingMove
Data IngestionFrequently asked
Questions about Shopify.
Does Bruin have a built-in Shopify integration?
Yes. Built-in ingestr source.
Which Shopify tables can Bruin load?
orders, customers, products, inventory, transactions.
Where can Shopify data go?
Snowflake, BigQuery, Databricks, Redshift, ClickHouse, Postgres, DuckDB, MotherDuck, Microsoft Fabric and more, plus files on S3 and GCS.
How fresh is the data?
As fresh as your schedule. Incremental loads append, merge or replace a time window, every few minutes if you like.
Do we need Bruin Cloud?
No. The Bruin CLI and ingestr run locally, in CI or in your own orchestrator. Bruin Cloud adds scheduling, lineage, alerts and the AI data analyst on top.
Ready to connect Shopify?
$100 in credits and 50 AI tasks. No credit card.
A demo walks through your own data.