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Shopify to BigQuery integration for analytics-ready store data

The Shopify to BigQuery integration from Adapters loads orders, line items, customers, products, and refunds from Shopify into partitioned BigQuery tables on an incremental schedule, so cohort, LTV, and margin models run on a full order history instead of a manual export. Field mapping takes about a minute and no code is required.

Try it in the live demo

Field mapping auto-plugged · tap a port to rewire

5 sample records ready

Last updated July 2026

What running Shopify to BigQuery by hand costs you

  • The Shopify Admin API paginates by cursor and throttles by leaky bucket, so full-catalog and full-order backfills are slow to script.
  • Order edits, refunds, and cancellations change records after the fact, and a naive nightly dump into BigQuery misses those updates.
  • Blending Shopify with ad spend and payment fees for true margin means a warehouse table, not a folder of exported CSVs.

The field mapping, out of the box

These cables are pre-wired when you pick the pair. Rewire any of them, or add your own, in the same visual data mapping tool you use for every adapter.

Input / SHOPIFY

order.id
fct_order.order_id
order.total_price
fct_order.total_price
order.created_at
fct_order.created_at
line_item.sku
fct_order_line.sku
customer.id
dim_customer.customer_id
order.updated_at
fct_order.loaded_at

Transforms included

Incremental loads use the Shopify updated_at watermark so edits, refunds, and cancellations flow through on the next run; money fields cast to BigQuery NUMERIC, ISO 8601 timestamps land as TIMESTAMP in UTC, tables partition by order date, and line items land in their own table so margin and cohort models read one clean, deduplicated order history.

How it goes live

Three steps, minutes end to end, covered by flat data integration pricing from $49 a month.

STEP 01

Pick the pair

Connect Shopify and BigQuery with scoped credentials. About a minute each.

STEP 02

Confirm the mapping

The cables above are pre-wired. Adjust any field, preview the transform on sample records, done.

STEP 03

Schedule the sync

Hourly down to every minute, with retries, alerting, and a full log on every run.

Try it in the live demo Preloads SHOPIFY → BIGQUERY with sample records

Shopify to BigQuery sync: common questions

How does the Shopify to BigQuery sync work?

The Shopify to BigQuery integration from Adapters loads orders, line items, customers, products, and refunds from Shopify into partitioned BigQuery tables on an incremental schedule, so cohort, LTV, and margin models run on a full order history instead of a manual export. Field mapping takes about a minute and no code is required.

How much does the Shopify BigQuery integration cost?

Pricing is flat and monthly: Starter at $49, Growth at $149, Scale at $399. Every plan includes this pair, visual field mapping, and per-record logs. There are no per-task or per-row fees, so the bill stays the same as volume grows.

How often can Adapters sync Shopify to BigQuery?

Hourly on Starter, every 5 minutes on Growth, and down to every minute on Scale. Failed records retry automatically with backoff, and alerting plus a full per-record log come standard on every run.

Do I need to write code to connect Shopify and BigQuery?

No. Fields are auto-mapped the moment you pick the pair, and you can rewire any mapping visually before the first sync. Incremental loads use the Shopify updated_at watermark so edits, refunds, and cancellations flow through on the next run; money fields cast to BigQuery NUMERIC, ISO 8601 timestamps land as TIMESTAMP in UTC, tables partition by order date, and line items land in their own table so margin and cohort models read one clean, deduplicated order history.

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Browse the full api connector library, or request a pair you do not see.

Shopify and BigQuery, finally in agreement

Map the pair once and let it sync on schedule. Flat price from $49 a month, no per-task fees.

Try the live demo

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