Recharge connector
Set up the Recharge connector in Kaivo: authentication, configuration, the 14 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 Recharge 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 Recharge connector
Sync your Recharge subscriptions, customers, and charges into BigQuery with Kaivo to analyse recurring revenue and retention alongside the rest of your data.
Getting started with the Recharge connector
- Sign up for Kaivo and create a workspace.
- Connect your Recharge 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 Recharge
Authenticate with your Access Token.
Configuring the Recharge connector
When you set up the connector, you provide:
Tables and columns synced from Recharge
Kaivo syncs 14 tables from Recharge into a dedicated dataset in your BigQuery warehouse. Click any table to see its columns and types.
addresses (22 columns), Addresses Stream: https://developer.rechargepayments.com/2021-11/addresses/list_addresses
addresses (22 columns), Addresses Stream: https://developer.rechargepayments.com/2021-11/addresses/list_addresses
Subtable: addresses__note_attributes
Subtable: addresses__shipping_lines_override
Subtable: addresses__shipping_lines_conserved
Subtable: addresses__discounts
Subtable: addresses__order_attributes
bundle_selections (9 columns), Bundle Selections Stream: https://developer.rechargepayments.com/2021-11/bundle_selections/bundle_selection_list
bundle_selections (9 columns), Bundle Selections Stream: https://developer.rechargepayments.com/2021-11/bundle_selections/bundle_selection_list
Subtable: bundle_selections__items
charges (89 columns), Charges Stream: https://developer.rechargepayments.com/2021-11/charges/charge_list
charges (89 columns), Charges Stream: https://developer.rechargepayments.com/2021-11/charges/charge_list
Subtable: charges__billing_address__note_attributes
Subtable: charges__billing_address__shipping_lines_override
Subtable: charges__discounts
Subtable: charges__order_attributes
Subtable: charges__discount_codes
Subtable: charges__line_items
Subtable: charges__note_attributes
Subtable: charges__shipping_address__note_attributes
Subtable: charges__shipping_address__shipping_lines_override
Subtable: charges__shipping_lines
collections (10 columns), Collections Stream: https://developer.rechargepayments.com/2021-11/collections/collections_list
collections (10 columns), Collections Stream: https://developer.rechargepayments.com/2021-11/collections/collections_list
credit_adjustments (11 columns), Credit Adjustments Stream: https://developer.rechargepayments.com/2021-11/credits/credit_adjustment_list
credit_adjustments (11 columns), Credit Adjustments Stream: https://developer.rechargepayments.com/2021-11/credits/credit_adjustment_list
customers (38 columns), Customers Stream: https://developer.rechargepayments.com/2021-11/customers/customers_list
customers (38 columns), Customers Stream: https://developer.rechargepayments.com/2021-11/customers/customers_list
discounts (28 columns), Discounts Stream: https://developer.rechargepayments.com/2021-11/discounts/discounts_list
discounts (28 columns), Discounts Stream: https://developer.rechargepayments.com/2021-11/discounts/discounts_list
events (15 columns), Events Stream: https://developer.rechargepayments.com/2021-11/events/events_list
events (15 columns), Events Stream: https://developer.rechargepayments.com/2021-11/events/events_list
Subtable: events__custom_attributes
Subtable: events__updated_attributes
metafields (12 columns), Metafields Stream: https://developer.rechargepayments.com/2021-11/metafields
metafields (12 columns), Metafields Stream: https://developer.rechargepayments.com/2021-11/metafields
onetimes (17 columns), Onetimes Stream: https://developer.rechargepayments.com/2021-11/onetimes/onetimes_list
onetimes (17 columns), Onetimes Stream: https://developer.rechargepayments.com/2021-11/onetimes/onetimes_list
Subtable: onetimes__properties
payment_methods (24 columns), Payment Methods Stream: https://developer.rechargepayments.com/2021-11/payment_methods/payment_methods_list
payment_methods (24 columns), Payment Methods Stream: https://developer.rechargepayments.com/2021-11/payment_methods/payment_methods_list
plans (24 columns), Plans Stream: https://developer.rechargepayments.com/2021-11/plans/plans_list
plans (24 columns), Plans Stream: https://developer.rechargepayments.com/2021-11/plans/plans_list
shop (3 columns), Shop Stream: https://developer.rechargepayments.com/v1-shopify?python#shop Shop endpoint is not available in 2021-11 API version
shop (3 columns), Shop Stream: https://developer.rechargepayments.com/v1-shopify?python#shop Shop endpoint is not available in 2021-11 API version
subscriptions (37 columns)
subscriptions (37 columns)
Subtable: subscriptions__properties
How the Recharge sync works
After the first load, Kaivo keeps your BigQuery warehouse up to date for you. Where Recharge 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 Recharge?
It depends on how much history is in your Recharge 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 Recharge'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 Recharge, 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 Recharge 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 Recharge connector in Kaivo and all of its synced data is deleted with it.
Common use cases for Recharge data
Recurring revenue
Track subscriptions and charges to monitor recurring revenue and growth over time.
Churn and retention
Analyse cancellations to measure churn and find at-risk customers.
Customer value
Combine customers with their charges to measure lifetime value.
Commerce together
Join Recharge data with your store orders in BigQuery for a full revenue picture.
Use Recharge data in your AI and BI tools
Once Recharge 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 Recharge 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 Recharge connector pricing and plan details.
Related connectors
- Google Analytics: Sync Google Analytics 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.
- Akeneo: Sync Akeneo to BigQuery.
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