What Is JSON?

Structured values between systems

JSON represents data using objects, arrays, strings, numbers, booleans and null. An object groups named properties; an array holds an ordered collection. The format is widely used in API requests, webhook events and integration responses. A workflow may read a company's details from one JSON object and map selected values into a CRM or an enrichment table.

Syntax and meaning are different checks. A response can be valid JSON while containing the wrong company, a missing field or an error message. Likewise, a successful HTTP response does not prove that the object contains all the data needed for a downstream action. Validate the relevant schema and business conditions instead of treating a parser's success as evidence that the contact is ready for outreach.

Preserve the intended data types

Phone numbers and identifiers often belong in strings because leading zeros, plus signs and exact characters matter. Null is different from an empty string, zero or a property that is absent. An integration that collapses those cases can erase a useful distinction between unknown information, a deliberately cleared field and a real value. Check the destination's update semantics before writing empty values into existing records.

Review a small example first

Use an authorized sample to inspect the raw response, the parsed values and the final mapped record. Confirm how nested objects and arrays are handled, especially when one result contains several emails or phone numbers. Selecting the first value is a business decision, not a property of the JSON format, and should follow the workflow's verification and priority rules.

JSON does not provide authentication, encryption or proof of data quality. Keep access tokens out of shared examples, preserve source context where useful and validate the specific fields that drive a real action. The goal is an accurate mapping between systems rather than a payload that merely looks structured and passes a syntax check.