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Sync Chargebee Data to Flat Files & Spreadsheets

Chargebee

Automatically sync your Chargebee data to cloud storage and spreadsheets with Flatly's no-code, triggerless, turnkey integration service.

Historical & Dynamic Data
One-way Sync
For Non-technical Users

About the integration: Chargebee is a subscription management system which can help vendors handle all the aspects of the subscription life cycle including recurring billing, invoicing and trial management. Flatly integrates with Chargebee's official APIs.

Connect Chargebee Which Chargebee API does Flatly use?

Available Datasets

Flatly can sync the following datasets from Chargebee.

  • Addons
  • Comments
  • Coupons
  • Coupon Codes
  • Coupon Sets
  • Credit Notes-All
  • Credit Notes-Last X days Date-ranged
  • Customers
  • Customers+Contacts Combo
  • Events-Last90days
  • Hosted Pages
  • Invoices-All
  • Invoices-Last X days Date-ranged
  • Invoices+Payments-All Combo
  • Invoices+Payments-Last X days Combo Date-ranged
  • LineItems of Invoices-All
  • LineItems of Invoices-Last X days Date-ranged
  • LineItems of Credit Notes-All
  • LineItems of Credit Notes-Last X days Date-ranged
  • Orders-All
  • Orders-Last X days Date-ranged
  • Payment Sources
  • Plans
  • Promotional Credits
  • Site Migration Details
  • Subscriptions
  • Transactions-All
  • Transactions-Last X days Date-ranged
  • Unbilled Charges-All
  • Unbilled Charges-Last X days Date-ranged
  • Virtual Bank Accounts

Send Chargebee data to

Flatly can sync Chargebee data to any of these destinations.

Note: Some destinations are aliased, for all intents and purposes they are functionally equivalent.

FAQ: Chargebee

What is unique about this integration?

Flatly outputs Chargebee data sets in an improved layout, following convention in terms of each row containing an item's values, without the parent envelope key included. This is particularly important for LineItems which are de-nested and presented in individual rows. This makes Chargebee data analysis convenient.

Querying Chargebee - 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.