Invoice Ninja connector
Set up the Invoice Ninja 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 Invoice Ninja 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 payment and finance data instead of moving it.
What is the Invoice Ninja connector
Sync your Invoice Ninja data into BigQuery with Kaivo to analyse invoices, payments, and project billing in one place.
Getting started with the Invoice Ninja connector
- Sign up for Kaivo and create a workspace.
- Connect your Invoice Ninja 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 Invoice Ninja
Authenticate with your API Key.
Tables and columns synced from Invoice Ninja
Kaivo syncs 14 tables from Invoice Ninja into a dedicated dataset in your BigQuery warehouse. Click any table to see its columns and types.
bank transactions (29 columns)
bank transactions (29 columns)
clients (56 columns)
clients (56 columns)
Subtable: clients__contacts
Subtable: clients__documents
Subtable: clients__gateway_tokens
credits (61 columns)
credits (61 columns)
Subtable: credits__documents
Subtable: credits__invitations
Subtable: credits__line_items
expenses (48 columns)
expenses (48 columns)
Subtable: expenses__documents
invoices (62 columns)
invoices (62 columns)
Subtable: invoices__documents
Subtable: invoices__invitations
Subtable: invoices__line_items
payments (34 columns)
payments (34 columns)
Subtable: payments__documents
Subtable: payments__paymentables
products (30 columns)
products (30 columns)
Subtable: products__documents
projects (23 columns)
projects (23 columns)
Subtable: projects__documents
purchase_orders (62 columns)
purchase_orders (62 columns)
Subtable: purchase_orders__documents
Subtable: purchase_orders__invitations
Subtable: purchase_orders__line_items
quotes (61 columns)
quotes (61 columns)
Subtable: quotes__documents
Subtable: quotes__invitations
Subtable: quotes__line_items
recurring expenses (52 columns)
recurring expenses (52 columns)
Subtable: recurring expenses__documents
Subtable: recurring expenses__recurring_dates
recurring invoices (62 columns)
recurring invoices (62 columns)
Subtable: recurring invoices__documents
Subtable: recurring invoices__invitations
Subtable: recurring invoices__line_items
Subtable: recurring invoices__recurring_dates
tasks (47 columns)
tasks (47 columns)
Subtable: tasks__documents
Subtable: tasks__project__documents
vendors (34 columns)
vendors (34 columns)
Subtable: vendors__contacts
Subtable: vendors__documents
How the Invoice Ninja sync works
After the first load, Kaivo keeps your BigQuery warehouse up to date for you. Where Invoice Ninja 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 Invoice Ninja?
It depends on how much history is in your Invoice Ninja 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 Invoice Ninja'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 Invoice Ninja, 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 Invoice Ninja 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 Invoice Ninja connector in Kaivo and all of its synced data is deleted with it.
Common use cases for Invoice Ninja data
Revenue reporting
Use invoices and payments to track billed and collected revenue over time.
Recurring billing
Use recurring invoices to monitor subscription revenue.
Project billing
Join projects and tasks with invoices to compare billed time against work.
Use Invoice Ninja data in your AI and BI tools
Once Invoice Ninja 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 Invoice Ninja 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 Invoice Ninja connector pricing and plan details.
Related connectors
- Chargebee: Sync Chargebee to BigQuery.
- ChartMogul: Sync ChartMogul to BigQuery.
- Fennoa: Sync Fennoa to BigQuery.
- Fortnox: Sync Fortnox to BigQuery.
- FreshBooks: Sync FreshBooks to BigQuery.
- PayPal Enterprise Payments: Sync PayPal Enterprise Payments to BigQuery.
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