How to Move Xero Data to BigQuery (and Google Sheets): A Practical Guide

How to Move Xero Data to BigQuery (and Google Sheets)

Xero is where your accounting lives: invoices, bank transactions, contacts, chart of accounts, P&L, balance sheet. But Xero's built-in reporting is designed for accountants, not for the operational dashboards and cross-functional analysis that growing teams need.

Getting Xero data into BigQuery or Google Sheets unlocks SQL analysis, cross-source joins (Xero + CRM + ads), and automated reporting. This guide covers every practical method.

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Why Move Xero Data Out?

Xero's reports are powerful for compliance and bookkeeping, but they don't help with:

• Cross-source analysis — Correlating revenue (Xero) with pipeline (HubSpot) or ad spend (Meta)
• Custom metrics — Calculating burn rate, runway, or unit economics from raw transactions
• Automated delivery — Getting financial snapshots to Slack or email without manual exports
• Historical trends — Xero shows current state; BigQuery lets you analyse over time

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Option 1: Xero to BigQuery via Managed ETL

Fivetran

Fivetran has a fully managed Xero connector that replicates your accounting data into BigQuery with automatic schema detection and incremental loading.

What gets synced:

• Invoices, credit notes, payments
• Bank transactions and bank accounts
• Contacts (customers and suppliers)
• Chart of accounts, journals
• Tracking categories
• P&L and balance sheet report data

Setup: Connect Xero via OAuth in Fivetran, select BigQuery as destination, sync runs automatically.

Pricing: Starts at $1/MAR. Xero data volumes are typically small — most accounts under $10/month.

Pros: Reliable, automatic schema changes, monitoring built in. Cons: Monthly cost, no transformation during load.

Airbyte

Airbyte's open-source Xero connector covers the same objects. Self-host for free or use Airbyte Cloud.

Pros: Free self-hosted, open-source connector code, customisable. Cons: Self-hosting requires infrastructure, connector maturity varies.

Stitch

Stitch (by Talend) also has a Xero connector for BigQuery replication.

Pros: Simple setup, managed. Cons: Higher starting price ($100/month), less flexible than Airbyte.

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Option 2: Xero to Google Sheets

If BigQuery is overkill for your use case, getting Xero data into Google Sheets is often enough.

Coefficient (Google Sheets Add-on)

Coefficient connects directly to Xero from within Google Sheets. It syncs invoices, contacts, bank transactions, and other objects into Sheet cells on a schedule.

Pros: No code, lives inside Sheets, scheduled sync. Cons: Paid add-on, limited to what Coefficient's connector supports.

Supermetrics

Supermetrics has a Xero connector that can push data to Google Sheets (or BigQuery directly).

Pricing: From $69/month. Pros: Good for financial + marketing data in one tool. Cons: Primarily designed for marketing data; Xero connector is secondary.

Custom Google Apps Script

For engineers: use the Xero API directly from Apps Script with OAuth 2.0. Write a script that pulls invoices, transactions, or contacts and writes them to a Sheet.

Pros: Free, full API access, complete control. Cons: You own the code, OAuth token refresh is fiddly, Apps Script quotas apply.

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Option 3: Custom Python Pipeline

For data engineers who want full control, a Python pipeline using the xero-python SDK and the BigQuery Python client is straightforward.

from xero_python.api_client import ApiClient
from google.cloud import bigquery

# Fetch invoices from Xero
invoices = accounting_api.get_invoices(tenant_id).invoices

# Transform and load to BigQuery
bq_client = bigquery.Client()
table_ref = bq_client.dataset('accounting').table('invoices')
bq_client.load_table_from_json(invoices_as_dicts, table_ref)

Pros: Full control, free, handles custom transforms. Cons: You build and maintain everything — error handling, incremental loading, token refresh, monitoring.

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Option 4: Chartcastr (Skip the Pipeline)

If your goal is reporting and analysis rather than raw data warehousing, Chartcastr connects to Xero directly and delivers AI-analysed financial charts to Slack or email.

No BigQuery. No Sheets. No pipeline to maintain.

How it works:

1. Connect your Xero account via OAuth (read-only)
2. Select the financial metrics you want to track
3. Choose Slack or email as your destination
4. Set a delivery schedule

Chartcastr generates charts from your Xero data, runs AI analysis on trends and anomalies, and delivers everything on your schedule. Your team gets financial visibility without anyone logging into Xero or building a dashboard.

Best for: Founders, ops leads, and finance teams who want automated financial snapshots without building a data pipeline.

Try Chartcastr free →

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Comparison Table

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Which Method Should You Use?

"I need Xero data in BigQuery for cross-source SQL analysis" → Fivetran or Airbyte. Both handle incremental loading and schema changes.

"I just need Xero data in a spreadsheet" → Coefficient for no-code, or Apps Script for free custom builds.

"I want automated financial reports to Slack without building a pipeline" → Chartcastr. Connects to Xero directly, no warehouse required.

"I need full control and I'm comfortable with Python" → Custom pipeline with xero-python SDK.

The right answer depends on whether your end goal is a data warehouse, a spreadsheet, or automated reporting. For most growing teams, start with the simplest option that solves the actual problem — which is usually getting insights to people, not just moving rows between systems.

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Related Reading

• Best Data Integration Tools: Google Sheets to BigQuery Compared — comparison of 9 tools for the most common data pipeline
• Shopify to BigQuery: Best Integration Tools Compared — ecommerce data pipeline tools
• Google Sheets to Snowflake: ETL Tools Compared — Sheets to Snowflake if you're not on BigQuery
• Best Tool to Load Google Sheets to BigQuery (2025/2026 Guide) — technical walkthrough for the Sheets → BigQuery pipeline
• Smartsheet to BigQuery: A Practical Integration Guide — similar pipeline for Smartsheet data