SendOwl connector

Set up the SendOwl connector in Kaivo: authentication, configuration, the 4 BigQuery tables it syncs, and answers to common questions.

Written By Lauri Raivio

Last updated 15 days ago

Kaivo is a fully managed data platform that syncs your SendOwl 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 SendOwl connector

Sync your SendOwl digital sales data into BigQuery with Kaivo to analyse orders, products, and subscriptions.

Category	E-commerce
Authentication	Username and password
Setup	Self-service

Getting started with the SendOwl connector

Sign up for Kaivo and create a workspace.
Connect your SendOwl 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 SendOwl

Connect with your SendOwl login. You provide:

Field	Description
Password	Your SendOwl API Secret, shown alongside the API Key under Settings → Advanced → SendOwl API.

Configuring the SendOwl connector

When you set up the connector, you provide:

Field	Description
Username	Your SendOwl API Key, found under Settings → Advanced → SendOwl API.
Start Date	Any data before this date will not be fetched.

Tables and columns synced from SendOwl

Kaivo syncs 4 tables from SendOwl into a dedicated dataset in your BigQuery warehouse. Click any table to see its columns and types.

orders (20 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`access_allowed`	`BOOL`
`buyer_email`	`STRING`
`buyer_name`	`STRING`
`can_market_to_buyer`	`BOOL`
`cart__completed_checkout_at`	`STRING`
`cart__started_checkout_at`	`STRING`
`cart__state`	`STRING`
`created_at`	`STRING`
`download_url`	`STRING`
`gateway`	`STRING`
`id`	`FLOAT64`
`price_at_checkout`	`STRING`
`settled_currency`	`STRING`
`settled_gateway_fee`	`STRING`
`settled_gross`	`STRING`
`state`	`STRING`
`subscription_id`	`FLOAT64`
`updated_at`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: orderscartcart_items

Column	Type	Description
`_kaivo_parent_id`	`STRING`	Foreign key referencing _kaivo_id in the parent table. Auto-generated by Kaivo.
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`cart_item__download_attempts`	`FLOAT64`
`cart_item__price_at_checkout`	`STRING`
`cart_item__product_id`	`FLOAT64`
`cart_item__quantity`	`FLOAT64`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: orders__download_items

Column	Type	Description
`_kaivo_parent_id`	`STRING`	Foreign key referencing _kaivo_id in the parent table. Auto-generated by Kaivo.
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`download_item__type`	`STRING`
`download_item__accessible`	`BOOL`
`download_item__downloadable`	`BOOL`
`download_item__name`	`STRING`
`download_item__url`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: orders__gateway_transaction_ids

Column	Type	Description
`_kaivo_parent_id`	`STRING`	Foreign key referencing _kaivo_id in the parent table. Auto-generated by Kaivo.
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`value`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: orders__order_custom_checkout_fields

Column	Type	Description
`_kaivo_parent_id`	`STRING`	Foreign key referencing _kaivo_id in the parent table. Auto-generated by Kaivo.
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`value`	`JSON`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

packages (16 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`add_to_cart_url`	`STRING`
`affiliate_sellable`	`BOOL`
`category`	`STRING`
`created_at`	`STRING`
`currency_code`	`STRING`
`id`	`FLOAT64`
`instant_buy_url`	`STRING`
`limit_to_single_qty_in_cart`	`BOOL`
`name`	`STRING`
`price`	`STRING`
`price_is_minimum`	`BOOL`
`sales_page_url`	`STRING`
`subcategory`	`STRING`
`updated_at`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: packagescomponentsproduct_ids

Column	Type	Description
`_kaivo_parent_id`	`STRING`	Foreign key referencing _kaivo_id in the parent table. Auto-generated by Kaivo.
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`value`	`FLOAT64`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

products (23 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`add_to_cart_url`	`STRING`
`affiliate_sellable`	`BOOL`
`attachment__filename`	`STRING`
`attachment__size`	`FLOAT64`
`category`	`STRING`
`created_at`	`STRING`
`currency_code`	`STRING`
`id`	`FLOAT64`
`instant_buy_url`	`STRING`
`limit_to_single_qty_in_cart`	`BOOL`
`name`	`STRING`
`pdf_stamping`	`BOOL`
`price`	`STRING`
`price_is_minimum`	`BOOL`
`product_image_url`	`STRING`
`product_type`	`STRING`
`sales_limit`	`FLOAT64`
`sales_page_url`	`STRING`
`self_hosted_url`	`STRING`
`subcategory`	`STRING`
`updated_at`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

subscriptions (28 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`access_all_products`	`BOOL`
`access_subset_products`	`BOOL`
`affiliate_sellable`	`BOOL`
`category`	`STRING`
`commission_rate`	`FLOAT64`
`created_at`	`STRING`
`currency_code`	`STRING`
`custom_field`	`STRING`
`frequency`	`STRING`
`frequency_interval`	`STRING`
`frequency_value`	`FLOAT64`
`id`	`FLOAT64`
`instant_buy_url`	`STRING`
`name`	`STRING`
`perform_redirect`	`BOOL`
`product_image_url`	`STRING`
`recurring_price`	`STRING`
`recurring_type`	`STRING`
`sales_page_url`	`STRING`
`sell_service`	`BOOL`
`sell_tangible_product`	`BOOL`
`subcategory`	`STRING`
`trial_frequency`	`STRING`
`trial_no_of_occurrences`	`FLOAT64`
`trial_price`	`STRING`
`updated_at`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: subscriptionscomponentsproduct_ids

Column	Type	Description
`_kaivo_parent_id`	`STRING`	Foreign key referencing _kaivo_id in the parent table. Auto-generated by Kaivo.
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`value`	`FLOAT64`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: subscriptions__drip_items

Column	Type	Description
`_kaivo_parent_id`	`STRING`	Foreign key referencing _kaivo_id in the parent table. Auto-generated by Kaivo.
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`value`	`JSON`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

How the SendOwl sync works

After the first load, Kaivo keeps your BigQuery warehouse up to date for you. Where SendOwl 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 SendOwl?

It depends on how much history is in your SendOwl 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 SendOwl'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 SendOwl, 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.

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 SendOwl 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 SendOwl connector in Kaivo and all of its synced data is deleted with it.

Common use cases for SendOwl data

Sales reporting

Use orders to track digital sales and revenue over time.

Product performance

Join products and packages with orders to see what sells best.

Subscription tracking

Use subscriptions to monitor recurring revenue.

Use SendOwl data in your AI and BI tools

Once SendOwl 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 SendOwl 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 SendOwl connector pricing and plan details.

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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