Convert Stripe JSON Export to CSV Spreadsheet

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The Challenge

Stripe exports payment data as deeply nested JSON — charges contain nested customer objects, payment method details, metadata, and refund arrays. Spreadsheet software can't read this structure. Manually copying fields into Excel takes hours for large exports and loses nested data like billing addresses and card details.

How to export data from Stripe

  1. Log into Stripe Dashboard and navigate to the data you need (Payments, Customers, etc.)
  2. Stripe Dashboard exports are CSV by default — for JSON, use the Stripe API or Stripe CLI
  3. Using Stripe CLI: run 'stripe charges list --limit 100' and pipe output to a .json file
  4. Using the API: make a GET request to the list endpoint (e.g. /v1/charges) and save the JSON response
  5. Upload the saved .json file to this tool — the data array is detected automatically

Why Stripe exports need flattening

Stripe API responses and dashboard exports wrap all records inside a data array. Each record contains nested objects — a charge includes customer, payment_method_details, billing_details, metadata, and refunds as sub-objects. Standard JSON-to-CSV tools either skip nested fields or output [object Object]. This tool flattens every level into dot-notation columns: billing_details.address.city, payment_method_details.card.brand, giving you one clean row per transaction with all data preserved.

Standard converters vs this tool

This tool recursively flattens nested objects into dot-notation columns like customer.email and payment_method_details.card.brand, preserving every field in a single row.
Standard converters skip nested fields entirely or output [object Object], forcing you to manually copy data from the JSON structure into Excel.

Root path is pre-set to 'data'

  • Stripe wraps all API responses in { "data": [...] } — the root path skips this wrapper automatically
  • If your export has a different structure (e.g. from a third-party tool), clear the root path field or adjust it
  • List exports from Stripe Dashboard use the same data wrapper structure
  • For single-object exports (one charge, one customer), clear the root path

Step-by-Step Workflow

01

Upload Stripe JSON export

02

Data auto-flattens with root path set to 'data'

03

Review flattened output in preview

04

Download as CSV or Excel

Specifications

Input Format
Stripe JSON Export
Data Structure
Nested Objects With Dot Notation
Output Format
CSV Or Excel
Processing Location
Client Side Browser

Best Practices

  • Root path data is pre-configured for standard Stripe API list responses
  • Enable suppress line breaks to keep description and metadata fields clean
  • Download as Excel for large exports to prevent currency value misalignment
  • Use pivot down mode to audit a single complex record

Frequently Asked Questions

How do I convert Stripe JSON to CSV?

Upload your Stripe JSON export file. The tool automatically detects the data array, flattens all nested objects (customer details, payment methods, addresses) into dot-notation columns, and outputs a clean CSV. Download as CSV or Excel.

Why do I see [object Object] when I convert Stripe JSON elsewhere?

Most JSON-to-CSV tools only handle flat structures. Stripe data is deeply nested — charges contain customer objects, payment method objects, and arrays. This tool recursively flattens every nested level into separate columns using dot notation.

Is my Stripe payment data safe?

Yes. All processing runs entirely in your browser using client-side JavaScript. No data is uploaded to any server. Your payment records, customer details, and financial data never leave your device.

Can I convert Stripe Dashboard CSV exports with this tool?

Stripe Dashboard already exports as CSV. This tool is for JSON exports from the Stripe API or Stripe CLI, where nested data needs flattening. If you have a Dashboard CSV, you can use our CSV to Excel tool instead.

How does the tool handle Stripe metadata fields?

Metadata key-value pairs are flattened into individual columns: metadata.order_id, metadata.source, etc. Each metadata key becomes its own column. If records have different metadata keys, all unique keys appear as columns with empty cells where not applicable.

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