Sync Stripe Data
to Flat Files
& Spreadsheets
Automatically sync your Stripe data to cloud storage and spreadsheets with Flatly's no-code, triggerless, turnkey integration service.
About the integration: Stripe is a global online payment processor that is trusted by thousands of businesses across the globe. Flatly integrates with Stripe's official APIs.
Available Datasets
Flatly can sync the following datasets from Stripe.
- ApplicationFees-All
- ApplicationFees-Last365days
- Balance
- BalanceTransactions-All
- BalanceTransactions-Last X days Date-ranged
- Charges-All
- Charges-Last X days Date-ranged
- Coupons
- Credit Notes
- Customers-All
- Customers-Last X days Date-ranged
- Customers+Charges-All Combo
- Customers+Charges-Last X days Combo Date-ranged
- Customers+Invoices-All Combo
- Customers+Invoices-Last X days Combo Date-ranged
- Disputes-All
- Disputes-Last X days Date-ranged
- EarlyFraudWarnings
- Events-All
- Events-Last X days Date-ranged
- File Uploads
- Invoices-All
- Invoices-Last X days Date-ranged
- Invoices-ChargeAutoOnly
- Invoices-ChargeAutoOnly-Last X Date-ranged
- Invoices-SendInvoiceOnly
- Invoices-SendInvoiceOnly-Last X Date-ranged
- Invoices+LineItems Alltime Combo
- Invoices+LineItems Last X days Combo Date-ranged
- InvoiceItems-All
- IssuingAuthorizations
- IssuingCards
- IssuingCardholders
- IssuingDisputes
- IssuingTransactions
- Orders
- Orders-Last X days Date-ranged
- Order Returns
- PaymentIntents-All
- PaymentIntents-Last X days Date-ranged
- Payouts-All
- Payouts-Last X days Date-ranged
- Plans-All
- Plans-ActiveOnly
- Plans-InactiveOnly
- Products-All
- Products-ActiveOnly
- Products-PhysicalOnly
- Refunds-All
- Refunds-Last X days Date-ranged
- SetupIntents-All
- SetupIntents-Last X days Date-ranged
- SKUs
- Subscriptions-All
- Subscriptions-Last X days Date-ranged
- Subscriptions-ChargeAutoOnly
- Subscriptions-ChargeAutoOnly-Last X Date-ranged
- Subscriptions-SendInvoiceOnly
- Subscriptions-SendInvoiceOnly-Last X Date-ranged
- Transfers-All
Send Stripe data to
Flatly can sync Stripe 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.
FAQ: Stripe
Is this integration with Stripe or Stripe Connect?
Both. Flatly offers a conventional Stripe integration for merchants, labeled in the data source selection drop-down as Stripe. This integration uses conventional OAuth authorization and is designed to power analytics for non-technical merchants who want to track revenue, invoices, transactions and customer records, etc.
Separately, Flatly offers an integration for Stripe developers and platforms, labeled Stripe Connect, which uses API Key based authorization. This integration is for developers who want to analyze data related to transfers and connections, as opposed to conventional commerce. As of today, API Key based authorization is the only available option for Stripe Connect in the ETL analytics context.
Querying Stripe - 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.