Stream data from Marketo to Google Sheets
Move data from Marketo to Google Sheets in minutes using Estuary. Stream, batch, or continuously sync data with control over latency from sub-second to batch.
- No credit card required
- 30-day free trial


- 200+Of connectors
- 5500+Active users
- <100msEnd-to-end latency
- 7+GB/secSingle dataflow
How to integrate Marketo with Google Sheets in 3 simple steps
Connect Marketo as your data source
Set up a source connector for Marketo in minutes. Estuary supports streaming (including CDC where available) and batch data capture through events, incremental syncs, or snapshots — without custom pipelines, agents, or manual configuration.
Configure Google Sheets as your destination connector
Estuary supports intelligent schema handling, with schema inference and evolution tools that help align source and destination structures over time. It supports both batch and streaming data movement, reliably delivering data to Google Sheets.
Deploy and Monitor Your End-to-End Data Pipeline
Launch your pipeline and monitor it from a single UI. Estuary guarantees exactly-once delivery, handles backfills and replays, and scales with your data — without engineering overhead.

Marketo connector details
Designed for marketing teams and data engineers, the Marketo connector from Estuary brings campaign, lead, and engagement data from Marketo into Flow collections. By connecting directly to the Marketo REST API, it ensures reliable synchronization of marketing data for reporting, analytics, and automation.
- Syncs leads, campaigns, programs, lists, and activity data
- Authenticates using Client ID, Client Secret, and Domain URL
- Supports incremental updates from a defined start date
- Built for efficient API-based capture and continuous availability

See how Envoy uses Marketo

Google Sheets connector details
The Google Sheets materialization connector writes Estuary collections into sheets within a Google spreadsheet, making operational data available for lightweight reporting, collaboration, and quick analysis. Each selected collection can be mapped to a separate sheet, and Estuary keeps those sheets updated as upstream data changes.
- Materialize Estuary collections into sheets within a selected Google spreadsheet.
- Map each collection to a specific sheet using a separate materialization binding.
- Authenticate with OAuth in the Estuary web app, or use a Service Account JSON key for manual configuration.
- Share the target spreadsheet with the service account and grant edit access when using service-account authentication.
- Use the spreadsheet URL and sheet name to configure where each collection is written.
- Add an internal tracking column to each sheet so Estuary can maintain materialization state.
💡 Tip: Use Google Sheets materialization for lightweight reporting, team dashboards, QA workflows, and quick operational views. For larger analytics workloads, use destinations such as BigQuery, Snowflake, Databricks, PostgreSQL, or S3.
Estuary in action
See how to build end-to-end pipelines using no-code connectors in minutes. Estuary does the rest.
Spend 2-5x less
Estuary customers not only do 4x more. They also spend 2-5x less on ETL and ELT. Estuary's unique ability to mix and match streaming and batch loading has also helped customers save as much as 40% on data warehouse compute costs.

Marketo to Google Sheets pricing estimate
Estimated monthly cost to move 800 GB from Marketo to Google Sheets is approximately $1,000.
Data moved
Choose how much data you want to move from Marketo to Google Sheets each month.
GB
Choose number of sources and destinations.
Why pay more?
Move the same data for a fraction of the cost.



What customers are saying
Getting started with Estuary
Free account
Getting started with Estuary is simple. Sign up for a free account.
Sign upDocs
Make sure you read through the documentation, especially the get started section.
Learn moreCommunity
Join the Slack community for the easiest way to get support while getting started.
Join Slack CommunityEstuary 101
Watch the Estuary 101 webinar for a guided introduction to using Estuary.
Watch

Frequently Asked Questions
Is this integration suitable for production workloads?
Yes. Estuary pipelines are designed for production use, with exactly-once delivery semantics, automated backfills, and continuous operation at scale.
Can I control where my data runs and is processed?
Yes. Estuary offers multiple deployment options, including fully managed SaaS, private deployments, and bring-your-own-cloud (BYOC). This allows teams to control where their data plane runs and meet security, compliance, and networking requirements. Learn more about Estuary's security and deployment options.
Can I build this Marketo to Google Sheets integration manually?
Yes, it's possible to build a manual pipeline using custom scripts, scheduled jobs, or open-source tools. However, manual approaches typically require ongoing maintenance, custom error handling, schema management, and operational overhead. Estuary simplifies this by providing a managed pipeline with built-in reliability, scaling, and monitoring.
Related articles
marketoMarketo to Snowflake Integration: 2 Effective Methods

marketoMarketo to Redshift Integration: 2 Easy Steps

google sheetsHow to Sync Stripe to Google Sheets in Real Time (Step-by-Step Guide)

google sheetsHow to Connect Shopify to Google Sheets in Real Time (No Code Guide)

google sheetsHow to Connect HubSpot to Google Sheets (Real-Time, No Code)

google sheetsHow to Export Airtable to Google Sheets: A Step By Step Guide

DataOps made simple
Add advanced capabilities like schema inference and evolution with a few clicks. Or automate your data pipeline and integrate into your existing DataOps using Estuary's rich CLI.





































