Printify connector
Set up the Printify connector in Kaivo: authentication, configuration, the 6 BigQuery tables it syncs, and answers to common questions.
Written By Lauri Raivio
Last updated 16 days ago
Kaivo is a fully managed data platform that syncs your Printify data into a Google BigQuery warehouse and keeps it up to date automatically. There is no pipeline to build and no infrastructure to run, so you can spend your time analysing your e-commerce data instead of moving it.
What is the Printify connector
Sync your Printify print-on-demand data into BigQuery with Kaivo to analyse orders, products, and fulfilment.
Getting started with the Printify connector
- Sign up for Kaivo and create a workspace.
- Connect your Printify account.
- Choose which tables to sync.
- Wait for the initial sync to finish.
- Query your data in BigQuery or your favourite AI or BI tool.
Authenticating Printify
Authenticate with your API Token.
Tables and columns synced from Printify
Kaivo syncs 6 tables from Printify into a dedicated dataset in your BigQuery warehouse. Click any table to see its columns and types.
catalog_blueprint_print_providers (5 columns)
catalog_blueprint_print_providers (5 columns)
catalog_blueprints (7 columns)
catalog_blueprints (7 columns)
Subtable: catalog_blueprints__images
catalog_print_providers (10 columns)
catalog_print_providers (10 columns)
shop_orders (26 columns)
shop_orders (26 columns)
Subtable: shop_orders__line_items
shop_products (19 columns)
shop_products (19 columns)
Subtable: shop_products__images
Subtable: shop_products__images__variant_ids
Subtable: shop_products__options
Subtable: shop_products__options__values
Subtable: shop_products__options__values__colors
Subtable: shop_products__print_areas
Subtable: shop_products__print_areas__placeholders
Subtable: shop_products__print_areas__placeholders__images
Subtable: shop_products__print_areas__variant_ids
Subtable: shop_products__print_details
Subtable: shop_products__sales_channel_properties
Subtable: shop_products__tags
Subtable: shop_products__variants
Subtable: shop_products__variants__options
Subtable: shop_products__views
Subtable: shop_products__views__files
Subtable: shop_products__views__files__variant_ids
shops (5 columns)
shops (5 columns)
How the Printify sync works
After the first load, Kaivo keeps your BigQuery warehouse up to date for you. Where Printify supports it, each sync pulls only new and changed records so it stays fast; otherwise it refreshes the whole table. Every record keeps its original ID, so you won't get duplicate rows.
Frequently asked questions
How long does the initial sync take for Printify?
It depends on how much history is in your Printify account. Most initial syncs finish within minutes, while large accounts can take a few hours. After that, syncs only fetch new and changed records, so they're much faster.
Can I sync only some tables or columns?
Yes. You pick which tables to sync when you set up the connection and can change the selection later. Tables you don't select are never copied to your warehouse.
What happens when Printify's schema changes?
New fields are never added automatically. You choose which fields to sync, so data you haven't selected (sensitive personal data, for example) never lands in your warehouse. When a new field appears, it becomes available for you to add. What happens to removed or renamed fields depends on a table's sync mode: full-refresh tables always match what's currently in Printify, so dropped fields disappear, while incremental tables keep their existing columns and history, so an old field stays and newly added fields fill in over time.
How do I handle GDPR or data deletion requests?
Your data lives in your own Kaivo-managed BigQuery warehouse, so the most direct option is to delete or anonymise specific records right in BigQuery. If you delete data in Printify instead, full-refresh tables drop it on the next sync, while incremental tables keep it, so you would remove the row in BigQuery or ask us to run a full refresh. To remove everything, delete the Printify connector in Kaivo and all of its synced data is deleted with it.
Common use cases for Printify data
Sales reporting
Use shop_orders to track sales and revenue across your shops over time.
Product performance
Join shop_products with orders to see best sellers and margins.
Provider view
Use catalog_print_providers to compare fulfilment options.
Use Printify data in your AI and BI tools
Once Printify data lands in your Kaivo-managed BigQuery warehouse, you can explore it with AI tools or any BI tool that connects to BigQuery. Here's how the most common destinations work with Printify data.
Claude
Use Kaivo's MCP server to give Claude secure, workspace-scoped access to your data. Setup guide →
Power BI
Microsoft's BI tool with a native BigQuery connector. Supports direct query and scheduled refresh. Setup guide →
Data Studio
Free Google BI tool with native BigQuery support. One-click connection to your Kaivo warehouse; great for SMB teams on Google Workspace. Setup guide →
Tableau
The premium analytics standard, with native BigQuery integration. Setup guide →
Google Sheets
Use Connected Sheets to query BigQuery directly from a spreadsheet, with no SQL. Setup guide →
Excel
Connect via Power Query's BigQuery connector. Setup guide →
Metabase
Open-source BI tool with strong BigQuery support. Setup guide →
See our pricing page for Printify connector pricing and plan details.
Related connectors
- Google Analytics: Sync Google Analytics to BigQuery.
- Recharge: Sync Recharge to BigQuery.
- Extensiv 3PL Warehouse Manager: Sync Extensiv 3PL Warehouse Manager to BigQuery.
- WooCommerce: Sync WooCommerce to BigQuery.
- Amazon Selling Partner: Sync Amazon Selling Partner to BigQuery.
- Adobe Commerce: Sync Adobe Commerce to BigQuery.
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