Block 1 - Start: Weekly on Monday
- Type / Role
- n8n-nodes-base.scheduleTrigger - scheduleTrigger
- Config choices
- Version 1.2
This workflow is provided as-is. Please review and test before using in production.
This template sets up a weekly ETL (Extract, Transform, Load) pipeline that pulls financial data from QuickBooks Online into Google BigQuery. It not only transfers data, but also cleans, classifies...
n8n-nodes-base.scheduletrigger, n8n-nodes-base.quickbooks, n8n-nodes-base.code, n8n-nodes-base.googlebigquery, n8n-nodes-base.stickynote
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Fahmi Fahreza.
Original n8n.io sourceThis template sets up a weekly ETL (Extract, Transform, Load) pipeline that pulls financial data from QuickBooks Online into Google BigQuery. It not only transfers data, but also cleans, classifies, and enriches each transaction using your own business logic.
Fetches transactions from the previous week every Monday from your QuickBooks Online account.
Applies custom business logic:
Prepares the cleaned data as a bulk-insert-ready SQL statement.
Inserts the structured and enriched data into a Google BigQuery table.
quickbooks) and table (e.g., transactions)Clean & Classify Transactions nodeinternalTransferAccountsexpenseCategoriesincomeCategoriesLoad Data to BigQuery nodeGet Last Week's Transactions node Clean & Classify Transactions node to handle specific edge casesThis catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Weekly ETL pipeline: QuickBooks financial data to Google BigQuery |
|---|---|
| Complexity | intermediate |
| Nodes | 8 |
| Categories | Engineering |
| Author | Fahmi Fahreza |
| Published | 26 Jul 2025 |
Use the JSON export at /data/workflows/6493/6493.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
This template sets up a weekly ETL (Extract, Transform, Load) pipeline that pulls financial data from QuickBooks Online into Google BigQuery. It not only transfers data, but also cleans, classifies...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Engineering use case.