Connect Stripe to BigQuery
Connect Stripe to BigQuery with Coupler.io to warehouse payment and subscription data at scale. Run SQL-based revenue analysis across charges, invoices, and refunds, and automate refreshes on your own schedule, no coding required.
What data you can export from Stripe?
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Application fees
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Balance transactions
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Charges
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Connected accounts
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Coupons
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Customers
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Disputes
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Events
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File links
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Files
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Invoice items
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Invoices
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Issuing transactions
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Payment intents
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Payouts
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Plans
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Prices
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Products
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Promotion codes
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Quotes
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Refunds
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Setup intents
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Shipping rates
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Subscription schedules
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Subscriptions
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Subscriptions with line items
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Tax rates
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Top-ups
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Transfers
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Value lists
All-in-one tool for Stripe data exports and analytics
Export Stripe charges and subscriptions into BigQuery and combine them with product usage or CRM data from other platforms. Build a unified warehouse dataset that connects revenue to the activity that drives it.

Shape charge, invoice, and subscription data into BigQuery-optimized tables before loading. Apply filters and rename columns so your warehouse schema stays clean and ready for SQL queries from the start.

Keep BigQuery tables synchronized with Stripe through automated refreshes running monthly, daily, hourly, every 30 minutes, or every 15 minutes. Choose the cadence that matches your financial reporting needs.

Leverage Coupler AI integrations to connect your Stripe warehouse data to AI tools. Ask plain-language questions about revenue and subscriptions without writing a single SQL query.





Why connect Stripe to BigQuery - real life cases
Revenue and churn analysis at scale
Cross-platform revenue attribution
Dispute and fraud pattern detection
Financial reconciliation and reporting
How to connect Stripe to BigQuery
Automate data exports with the no-code Stripe BigQuery integration
Connect similar Finance & Accounting apps and get data in minutes
Quick start with Finance dashboard templates
about your case. It doesn't cost you a penny π
Talk to AI about your Stripe data
No need to leave Coupler.io for quick analysis. AI Agent is built in, powered by the Analytical Engine. It queries your Stripe data, performs calculations, and delivers verified answers. Just ask in plain language.
Examples of questions you can ask about Stripe data:
- "What's our net revenue after fees and refunds for the past quarter?"
- "Which subscription plans have the highest churn rate this year?"
- "Compare average order value across customer segments over the last six months"
- "Show me dispute rates by payment method for the past year"

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