Connect Shopify to Google BigQuery
Capture Shopify orders, refunds, and customers as typed rows in Google BigQuery for analytics, LTV, and finance reporting.
- Shopify · order createdtrigger
- Flatten order + line itemsaction
- Append rows to BigQueryaction
- Landed in BigQuerydone
Merchants want Shopify data in Google BigQuery without paying a per-row ELT vendor or waiting on nightly batches. Spojit reacts to Shopify webhooks in real time, flattens each order into typed columns, and loads it into BigQuery, with durable retries so no sale is missed.
Shopify and BigQuery, working together
When an order is created in Shopify
append a typed order row with line items to Google BigQuery
When an order is refunded in Shopify
write a reversal row into a Google BigQuery table
When a customer is created or updated in Shopify
upsert the customer in a Google BigQuery table
When a product or variant changes in Shopify
update the catalog row in Google BigQuery
Built for how Shopify and BigQuery really work
Real-time order capture
Subscribe to Shopify webhooks and land each order in BigQuery within seconds.
Line-item flattening
Explode order line items and discounts into clean BigQuery rows for LTV and cohort analysis.
No BigQuery connector needed
Miraxa builds the authenticated BigQuery load and streaming API calls for you.
Why teams build this on Spojit
Shopify Plus stores can use a native BigQuery export, and Google's BigQuery Data Transfer Service ships a native Shopify connector, so a first-party path exists at higher tiers and on fixed schedules. Non-Plus stores have no native route, and even the native exports do not flatten line items the way analysts want. Spojit captures orders as they happen and builds the BigQuery API calls itself, giving near-real-time data on your own schema, billed by execution time.
With Spojit
- Direct Mode streams Shopify events to BigQuery with no AI credits for plain pass-through.
- Durable execution buffers and retries when BigQuery is briefly unavailable, so no order is lost.
- Billed by execution time, not per row, which suits high-volume stores.
Shopify + BigQuery, answered
Is the data real time?
Yes. Spojit reacts to Shopify webhooks and lands rows in BigQuery within seconds; scheduled backfills are also supported.
Are line items broken out?
Yes. Each order's line items and discounts are flattened into separate BigQuery rows ready for SQL analysis.
Do I need a BigQuery connector?
No. Miraxa builds the authenticated BigQuery API calls, including streaming inserts and load jobs.
What is possible depends on your plan and authorized API access. Some Shopify and BigQuery endpoints and capabilities are gated by the vendor (for example, parts of an API may require a higher tier, and write access can require a custom or add-on connection on an eligible plan), so not every workflow is available on every account from day one. You can request a feature or integration any time, and we will get in touch to figure out how to make it work.
Connect Shopify and BigQuery today
Describe what you want to automate and Miraxa builds the workflow. Start free, no credit card required.