Data Processing

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JSON Data Transformer

Map, filter, and transform JSON data from one format to another. Perfect for API response transformation, data migration, and format conversion.

5 steps

json

transform

mapping

data

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How It Works

Receive JSON data via webhook, apply transformations using the visual mapper, and output the reshaped data. Supports field renaming, type conversion, array operations, and custom expressions.

Receive Data

Parse incoming JSON payload

Transform

Apply field mapping and filters

Output

Return transformed JSON

Use Cases

API response transformation
Data format conversion
Field mapping and renaming
Array filtering and sorting
Nested data flattening

Benefits

No-code data transformation
Visual field mapping
Support for nested data
Array operations built-in
Preview transformations

Integrations Required

This template uses the following integrations. You'll need to connect these services to use the workflow.

Frequently Asked Questions

What transformations are supported?

You can rename fields, change data types, filter arrays, flatten nested objects, concatenate strings, perform math operations, and more using expressions.

Can I transform nested JSON?

Yes! Use dot notation to access nested fields (e.g., {{data.user.name}}) and build complex nested output structures.

How do I handle arrays?

Use array operations like map, filter, reduce, and sort. For example, filter an array of users to only include active ones, then map to extract just their names.

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How It Works

Receive JSON data via webhook, apply transformations using the visual mapper, and output the reshaped data. Supports field renaming, type conversion, array operations, and custom expressions.

Receive Data

Parse incoming JSON payload

Transform

Apply field mapping and filters

Output

Return transformed JSON

Frequently Asked Questions

What transformations are supported?

You can rename fields, change data types, filter arrays, flatten nested objects, concatenate strings, perform math operations, and more using expressions.

Can I transform nested JSON?

Yes! Use dot notation to access nested fields (e.g., {{data.user.name}}) and build complex nested output structures.

How do I handle arrays?

Use array operations like map, filter, reduce, and sort. For example, filter an array of users to only include active ones, then map to extract just their names.

How It Works

Receive JSON data via webhook, apply transformations using the visual mapper, and output the reshaped data. Supports field renaming, type conversion, array operations, and custom expressions.

Receive Data

Parse incoming JSON payload

Transform

Apply field mapping and filters

Output

Return transformed JSON

Frequently Asked Questions

What transformations are supported?

You can rename fields, change data types, filter arrays, flatten nested objects, concatenate strings, perform math operations, and more using expressions.

Can I transform nested JSON?

Yes! Use dot notation to access nested fields (e.g., {{data.user.name}}) and build complex nested output structures.

How do I handle arrays?

Use array operations like map, filter, reduce, and sort. For example, filter an array of users to only include active ones, then map to extract just their names.

How It Works

Receive JSON data via webhook, apply transformations using the visual mapper, and output the reshaped data. Supports field renaming, type conversion, array operations, and custom expressions.

Receive Data

Parse incoming JSON payload

Transform

Apply field mapping and filters

Output

Return transformed JSON

Frequently Asked Questions

What transformations are supported?

You can rename fields, change data types, filter arrays, flatten nested objects, concatenate strings, perform math operations, and more using expressions.

Can I transform nested JSON?

Yes! Use dot notation to access nested fields (e.g., {{data.user.name}}) and build complex nested output structures.

How do I handle arrays?

Use array operations like map, filter, reduce, and sort. For example, filter an array of users to only include active ones, then map to extract just their names.