Accounting OAuth
Sync QuickBooks Online Data
to Flat Files
& Spreadsheets
Automatically sync your QuickBooks Online data to cloud storage and spreadsheets with Flatly's no-code, triggerless, turnkey integration service.
Historical & Dynamic Data
One-way Sync
For Non-technical Users
About the integration: QuickBooks Online is a web-based accounting software package developed and marketed by Intuit. Flatly integrates with QuickBooks Online's official APIs.
Available Datasets
Flatly can sync the following datasets from QuickBooks Online.
- AccountsAll
- Accounts by Type
- Accounts-Assets
- Accounts-Equity
- Accounts-Expense
- Accounts-Liability
- Accounts-Revenue
- BillsAlltime
- BillsLast X days Date-ranged
- Bills+LineitemsAlltime Combo
- Bills+LineitemsLast X days Combo Date-ranged
- CustomersAll
- Deposits
- Employees
- Estimates-Alltime
- EstimatesLast X days Date-ranged
- Invoices-Alltime
- InvoicesLast X days Date-ranged
- Invoices+Lineitems-Alltime Combo
- Invoices+LineitemsLast X days Combo Date-ranged
- ItemsAll
- Items-Inventory
- Items-Service
- Items-NonInventory
- Payments-Alltime
- PaymentsLast X days Date-ranged
- Payments+Lineitems-Alltime Combo
- Payments+LineitemsLast X days Combo Date-ranged
- Purchases
- Report-AccountList-Alltime
- Report-AccountList-Last X days Date-ranged
- Report-AgedPayableDetail-Alltime
- Report-AgedPayableDetail-Last X days Date-ranged
- Report-AgedPayableSummary-Alltime
- Report-AgedPayableSummary-Last X days Date-ranged
- Report-AgedReceivableDetail-Alltime
- Report-AgedReceivableDetail-Last X days Date-ranged
- Report-AgedReceivableSummary-Alltime
- Report-AgedReceivableSummary-Last X days Date-ranged
- Report-BalanceSheet-Alltime
- Report-BalanceSheet-Last X days Date-ranged
- Report-CashFlow-Alltime
- Report-CashFlow-Last X days Date-ranged
- Report-CustomerBalance
- Report-CustomerBalanceDetail
- Report-CustomerIncome-Alltime
- Report-CustomerIncome-Last X days Date-ranged
- Report-GeneralLedger
- Report-GeneralLedger-Raw
- Report-GeneralLedger-Last X days Date-ranged
- Report-GeneralLedger-Raw-Last X days Date-ranged
- Report-InventoryValuation
- Report-Journal-Alltime
- Report-Journal-Last X days Date-ranged
- Report-Profit+Loss-Alltime Combo
- Report-Profit+Loss-Last X days Combo Date-ranged
- Report-Profit+LossDetail-Alltime Combo
- Report-Profit+LossDetail-Last X days Combo Date-ranged
- Report-SalesByClass-Alltime
- Report-SalesByClass-Last X days Date-ranged
- Report-SalesByCustomer-Alltime
- Report-SalesByCustomer-Last X days Date-ranged
- Report-SalesByDepartment-Alltime
- Report-SalesByDepartment-Last X days Date-ranged
- Report-SalesByProduct-Alltime
- Report-SalesByProduct-Last X days Date-ranged
- Report-TransactionList-Alltime
- Report-TransactionList-Alltime-Raw
- Report-TransactionList-Last X days Date-ranged
- Report-TransactionList-Raw-Last X days Date-ranged
- Report-TrialBalance-Alltime
- Report-TrialBalance-Last X days Date-ranged
- Report-VendorBalance
- Report-VendorBalanceDetail
- Report-VendorExpenses-Alltime
- Report-VendorExpenses-Last X days Date-ranged
- Vendors
Send QuickBooks Online data to
Flatly can sync QuickBooks Online data to any of these destinations.
- Airtable Airtable
- Amazon S3 XLSX (Parsed) XLSX (Raw) CSV (Parsed) CSV (Raw) NDJSON Markdown (Table) Markdown (Key-Value)
- Azure Storage XLSX (Parsed) XLSX (Raw) CSV (Parsed) CSV (Raw) NDJSON Markdown (Table) Markdown (Key-Value)
- Box XLSX (Parsed) XLSX (Raw) CSV (Parsed) CSV (Raw) NDJSON Markdown (Table) Markdown (Key-Value)
- CSV
- Cloud Storage
- Dropbox XLSX (Parsed) XLSX (Raw) CSV (Parsed) CSV (Raw) NDJSON Markdown (Table) Markdown (Key-Value)
- Excel
- Excel Online XLSX (Parsed) XLSX (Raw) CSV (Parsed) CSV (Raw) NDJSON Markdown (Table) Markdown (Key-Value)
- FTP XLSX (Parsed) XLSX (Raw) CSV (Parsed) CSV (Raw) NDJSON Markdown (Table) Markdown (Key-Value)
- Google BigQuery NDJSON
- Google Cloud Storage XLSX (Parsed) XLSX (Raw) CSV (Parsed) CSV (Raw) NDJSON Markdown (Table) Markdown (Key-Value)
- Google Drive Google Sheets (Parsed) Google Sheets (Raw) XLSX (Parsed) XLSX (Raw) CSV (Parsed) CSV (Raw) NDJSON Markdown (Table) Markdown (Key-Value)
- Google Looker Studio
- Google Sheets Google Sheets (Parsed) Google Sheets (Raw) XLSX (Parsed) XLSX (Raw) CSV (Parsed) CSV (Raw) NDJSON Markdown (Table) Markdown (Key-Value)
- Looker NDJSON
- Markdown
- Microsoft Power BI
- OneDrive XLSX (Parsed) XLSX (Raw) CSV (Parsed) CSV (Raw) NDJSON Markdown (Table) Markdown (Key-Value)
- OneDrive for Business XLSX (Parsed) XLSX (Raw) CSV (Parsed) CSV (Raw) NDJSON Markdown (Table) Markdown (Key-Value)
- SFTP XLSX (Parsed) XLSX (Raw) CSV (Parsed) CSV (Raw) NDJSON Markdown (Table) Markdown (Key-Value)
- SharePoint XLSX (Parsed) XLSX (Raw) CSV (Parsed) CSV (Raw) NDJSON Markdown (Table) Markdown (Key-Value)
- Smartsheet Smartsheet
- Zoho Sheet Zoho Sheet
Note: Some destinations are aliased, for all intents and purposes they are functionally equivalent.
QuickBooks Online
Tuned at the dataset level
Flatly syncs raw, standard and report format datasets from QuickBooks Online into your sheets and cloud storage systems.
- Superpagination.
- Special pagination mechanisms allow Flatly to fetch data beyond the standard QuickBooks Online API limits.
- Raw, unbridaled data.
- Some data sets are formatted raw, which is ideal for data analysis because business intelligence platforms can only ingest data that is structured for machines.
- Multi-tenant.
- Easily manage hundreds of QuickBooks Online tenants from a single connection manager with health monitoring and sync history.
"Fantastic Tool. If you are looking to extract back-end tables and data to csv, this is the app for you. The interface is easy to use and the tool runs very smoothly."
Matthew Butler
Accruity
Querying QuickBooks Online - AI or ETL?
Many SaaS applications and databases can be directly queried within AI chat apps using connectors. For ad-hoc, single-user requests, this direct architecture is superior—it offers real-time visibility, high customizability, and bypasses the need for complex data pipelines.
However, ETL (Extract, Transform, Load) can be more favorable when certain requirements exist. You might consider transitioning to an ETL system and a centralized data store when:
- Collaboration is required: Multiple stakeholders (colleagues, partners) need consistent access to the same shared single source of truth.
- Downstream audiences: The queried data must be routed into other internal IT systems, published to team dashboards, or preserved in official records rather than remaining isolated in a chat window.
- Data is complex: The raw data needs heavy cleaning or joining before an AI or non-technical user can accurately understand it.
- Internal capabilities are limited: Your organization lacks the in-house programming resources or infrastructure necessary to reliably build, deploy, and maintain custom agentic workflows or complex data integrations from scratch.
- Numerous accounts: When a high volume of identities or accounts within a data source need to be analyzed in bulk, a sophisticated connection manager is needed.
- Concurrency & infrastructure: If many data sets need to be analyzed in parallel, concurrency can become an issue. The device hosting an AI agent can become saturated without concurrency controls in place, whereas an ETL pipeline is built to handle parallel workloads reliably.