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Quickbooks to Google BigQuery integration

Connect Quickbooks to Google BigQuery and automatically sync your finance & accounting data. Weld extracts Invoices, Customers, Payments, and Accounts from Quickbooks, loads them into Google BigQuery, and lets you transform the data using SQL or dbt, no custom scripts required.

Start for freeView setup guide
4.8 on G2
QuickbooksSource
WeldWeld
Google BigQueryWarehouse
Weld · New sync
QuickbooksSourceQuickbooksConnected
Tables to sync
  • account18 cols
  • general_ledger_report14 cols
  • journal_report12 cols
  • journal_report_line9 cols
  • trial_balance_report6 cols
  • balance_sheet_report5 cols
  • Extract
  • Load
  • Keep in sync
Google BigQueryDestinationGoogle BigQueryReady
quickbooks dataset
  • quickbooks.accountSynced
  • quickbooks.general_ledger_reportSyncing
  • quickbooks.journal_reportSynced
  • quickbooks.journal_report_lineSynced
  • quickbooks.trial_balance_reportSynced
  • quickbooks.balance_sheet_reportSynced
Quickbooks tables
59
fields, typed
1,099
relationships kept
6
agent context included
MCP

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  • Flatpay
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  • Pas Normal Studios
How it works

How to set up Quickbooks to Google BigQuery in Weld.
In the app, with the API or an agent.

Setup guideAPI guideMCP docs
Weld · New Quickbooks sync
QuickbooksNew connectionQuickbooksAuthorised
Connection namequickbooks
AuthorizeOpens Quickbooks to grant read access
Use cases

Why sync Quickbooks to Google BigQuery?
Ready for analysis.

Centralizing your Quickbooks data in Google BigQuery lets you join it with other data sources for cross-platform analytics and deeper insights.

Build reliable dashboards and reports by querying Quickbooks data directly in Google BigQuery using SQL or your preferred BI tool.

  • Financial reporting

    Centralize Invoices, Customers, and Payments from Quickbooks in Google BigQuery for automated financial dashboards and month-end close analysis.

  • Centralized data warehouse

    Bring Quickbooks data into Google BigQuery alongside other sources to create a single source of truth for your organization.

  • Automated reporting

    Replace manual exports and spreadsheet-based reporting with automated pipelines from Quickbooks to Google BigQuery. Connect BI tools like Looker, Metabase, or Power BI.

Schema

What data can you sync?
Every Quickbooks table, keys intact.

Weld syncs the following data objects from Quickbooks into Google BigQuery. The exact tables and fields depend on your Quickbooks configuration and the permissions granted during setup.

Open the schema explorer
All 59 tables
  • account
  • general_ledger_report
  • journal_report
  • journal_report_line
  • trial_balance_report
  • balance_sheet_report
  • profit_and_loss_report
  • customer
  • sales_receipt
  • invoice
  • item
  • purchase
  • vendor
  • vendor_credit
  • bill
  • credit_memo
  • company
  • credit_memo_group_line_sales_item_line
  • sales_receipt_group_line_sales_item_line
  • bill_item_based_expense_line
  • credit_memo_sales_item_line
  • purchase_item_based_expense_line
  • sales_receipt_sales_item_line
  • deposit_line
  • bill_account_based_expense_line
  • purchase_account_based_expense_line
  • invoice_line
  • deposit
  • vendor_credit_item_based_expense_line
  • bill_payment
  • and 29 more
Weld MCP server

Ask your agent.
It queries Google BigQuery for you.

Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the Quickbooks context, finds the tables it needs and runs the query in Google BigQuery.

Set up the MCP serverClaudeCursorChatGPTGemini
Claude CodeOpus 5
>

How many balance_sheet_report rows do we have per account? Use our Quickbooks data in Google BigQuery.

Reading the Quickbooks context first, so the query uses the right tables and keys.

●weld·search_available_references
⎿raw.quickbooks.balance_sheet_report
raw.quickbooks.account
+ 57 more Quickbooks tables
●weld·get_reference_schema
⎿balance_sheet_report · 5 columns
joins account on account_id
●weld·run_query
⎿select a.id, count(*) from {{raw.quickbooks.balance_sheet_report}} b
join {{raw.quickbooks.account}} a on b.account_id = a.id
group by 1
submitted
●weld·get_query_status
⎿DONE
●weld·get_query_result
⎿rows returned
✓Answered from Quickbooks data in Google BigQuery
>Ask about your Quickbooks data
Under the hood

Technical considerations.
What to expect.

Incremental syncing
Weld uses incremental syncing where supported by the Quickbooks API, loading only new and updated records to minimize data transfer and warehouse costs.
Schema handling
Weld automatically manages schema changes. If Quickbooks adds new fields, they're detected and added to the corresponding Google BigQuery tables.
Data freshness
Sync frequency depends on your Weld plan. Most connectors support schedules from every 5 minutes up to daily intervals.
Security
All data is encrypted in transit (TLS) and at rest. Weld is SOC 2 Type II compliant and supports IP whitelisting for database connections.
Resources

Keep reading.
Guides, docs and schema.

Documentation

Quickbooks setup guide

How to connect Quickbooks to Weld, step by step.

Documentation

Google BigQuery setup guide

How to connect Google BigQuery to Weld, step by step.

Schema

Quickbooks schema explorer

Browse all 59 tables and 1,099 fields.

Connector

Quickbooks connector

Everything Weld does with Quickbooks.

FAQ

Common questions.
About Quickbooks to Google BigQuery.

Start syncing Quickbooks to Google BigQuery.

Set up your Quickbooks data pipeline in minutes. No credit card required. Free for 14 days.

QuickbooksSource
WeldWeld
Google BigQueryWarehouse
Start for freeTalk to us
Related

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