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How to read and format messy JSON webhook data from Zapier or Stripe without coding

SENULA COMPANY · 2026-09-21 · 6 min read

Building automated workflows between cloud platforms requires reliable data transfer. When events occur in services like Stripe or Zapier, they send payload notifications across webhooks formatted in JavaScript Object Notation (JSON). While developers design JSON to be machine-readable, the raw data displayed in automation logs often appears as a continuous block of text.

When an automation fails, locating specific customer attributes, order values, or error codes within this wall of text slows down troubleshooting. Without a clear visual structure, identifying missing data fields or syntax errors becomes a tedious manual process. Reading raw payloads without proper formatting leads to mistakes when configuring downstream actions in your automation pipeline.

Understanding Webhooks and JSON Anatomy

Webhooks function as automated messages sent from one application to another when a specific event happens. Unlike API polling, where a system repeatedly asks a server if new data exists, webhooks push data immediately upon the trigger event. This push mechanism relies on JSON to carry the event details.

JSON organizes data using two primary structures. Objects contain unordered collections of key-value pairs enclosed in curly brackets. Arrays contain ordered lists of values enclosed in square brackets. Values take the form of strings, numbers, booleans, nulls, or nested objects and arrays. A standard webhook payload typically starts with a single outer object that contains multiple nested objects representing different aspects of the event.

Within these objects, data types dictate how downstream systems interpret the information. A boolean value of true functions differently than a string value of "true". When an automation expects an integer for a price but receives a string containing the number, the system throws a type error. JSON enforces strict rules regarding these data types, requiring double quotes for strings and no quotes for numbers, booleans, or null values. This strictness ensures predictable parsing across different programming languages.

Why Webhook Payloads Lose Their Structure

Two main technical factors cause webhook logs to appear cluttered.

The first reason is payload minification. Web servers and payment gateways remove unnecessary whitespace, line breaks, and indentation characters before transmitting data across the internet. Minification reduces the total payload size in bytes, saving network bandwidth and lowering transmission latency. However, this compression eliminates the visual hierarchy of nested objects, compressing hundreds of key-value pairs into a single line.

The second reason is string escaping and multi-layer nesting. When webhooks pass through middleware routers, the original payload is often wrapped inside a secondary metadata envelope. Inner JSON objects frequently convert into escaped strings where quotes and slashes are prepended with backslashes. This transformation obscures parent-child relationships between data arrays and object properties, making it difficult to determine where one data field ends.

Stripe payloads are notoriously comprehensive, often nesting data five or six levels deep. Inside the main event object, you find a data object, which contains an object object, which then contains further nested structures like customer_details and payment_method_options. When minified, these nested brackets accumulate into sequences like }}}}}, making manual bracket matching nearly impossible.

Extracting Data from Stripe Checkouts

Consider a scenario where you connect a Stripe checkout to a customer relationship management system. When a customer completes a purchase, Stripe triggers a checkout.session.completed webhook.

The webhook transmits a 2.4 KB minified string containing the customer's email, billing address, and transaction amount. In the raw log, the payment intent ID and the customer details blend together. You need to verify if the amount_total field passed the correct integer value, but scanning the single continuous line takes too long.

To resolve this, you copy the raw payload text from your webhook monitor. Converting a compressed payload into a structured format begins with copying the entire HTTP request body. Ensure that you highlight everything from the opening curly bracket to the final closing bracket without omitting outer delimiters.

Applying Standard Indentation

Restoring the visual layout makes the data comprehensible. While reviewing the data, check the structure in JSON Formatter & Validator, which parses the tree and formats the text with 2-space or 4-space indentation.

Indentation aligns nested arrays and objects vertically so you can scan through customer records, billing addresses, and line items systematically. With the 2.4 KB Stripe payload properly indented, the amount_total field appears on its own line under the object key, allowing you to confirm the transaction value instantly.

When integrating a new webhook source, reviewing structural statistics—such as total keys, array counts, and maximum nesting depth—provides a clear overview of the payload architecture. Sorting object keys alphabetically arranges all fields in a predictable order. If the API documentation states the payload should contain fifty keys, but the statistics show only twenty, you immediately know the webhook is transmitting an incomplete event object.

Finding Missing Commas and Syntax Errors

Automations frequently break when users manually modify payload templates in custom webhook steps. A single misplaced character invalidates the entire JSON payload, causing downstream API endpoints to reject incoming requests.

The most common syntax error in manual webhook configuration is an omitted comma between key-value pairs. Another frequent issue is a trailing comma placed after the final item in an array or object. Standard JSON specifications do not permit trailing commas or inline comments. If a custom webhook payload contains an extra comma before a closing bracket, strict servers return a parsing error.

If a custom payload fails to save, validate the syntax with JSON Formatter & Validator, which reports the precise line and column of missing commas or unclosed brackets. Pinpointing the exact error location with surrounding context eliminates guesswork. You can correct formatting mistakes before re-triggering webhook tests.

Debugging Zapier Custom Requests

In a second scenario, you configure a Zapier webhook step to send a custom POST request to an external database. You manually construct the JSON body to include a contact name, company, and a nested array of line items.

When configuring custom HTTP requests, you must distinguish between request headers and the request body. If your body syntax is invalid, the receiving server cannot parse the data, regardless of correctly configured headers. You accidentally leave a trailing comma after the final array item: {"name": "John Doe", "items": ["laptop", "mouse"],}.

When Zapier executes the step, the external database returns a 400 Bad Request error. The error message simply states "Invalid JSON". Finding the stray comma in a small payload takes a few seconds, but in a payload with fifty fields, spotting the extra character is difficult. Validating the text highlights the trailing comma at line 4, column 35. Removing the comma resolves the error and allows the workflow to proceed.

Before deploying a new automation rule, always run a test transaction and inspect the resulting webhook payload to confirm that all required variables populate correctly.

Webhook Troubleshooting Checklist

Use this checklist when inspecting failing webhook payloads.

FAQ

Why does my webhook payload look like a single line of text?

Servers minify JSON payloads by removing spaces and line breaks to reduce file size and speed up transmission over the internet.

Does standard JSON allow comments?

No, the official standard does not support inline or block comments. Including comments causes strict parsers to reject the payload.

What is the difference between JSON and YAML?

Both represent structured data, but JSON relies on strict brackets and quotes, while YAML uses indentation and allows comments. Webhooks predominantly use JSON.

Keep your webhook data readable and properly structured to simplify troubleshooting. You can process payloads entirely within your web browser using JSON Formatter & Validator, as your input never leaves the device.