Validate product records with JSON Schema

Created by

Automation Lab

Actor

Apify Dataset JSON Schema Validator

Validate product JSON records for required IDs, names, positive prices, and status values before export or downstream processing.

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Apify Dataset JSON Schema Validatorautomation-lab/apify-dataset-json-schema-validator

Record index

Source type

Source dataset ID

Valid

+5 fields

Input

JSON Schema(required):{5 fields}

Inline records

sku:LP-120+2

name:Studio headphones+1

price:149.9+2

status:in_stock+2

Maximum records:100

Maximum errors per record:20

Output fields

Record index

Source type

Source dataset ID

Valid

Error count

Errors truncated

Validation errors

Original record

Validated at

How it works

Sign up on Apify or log in

The Apify Dataset JSON Schema Validator Actor is ready to run with the inputs already set for "Validate product records with JSON Schema". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Validate product records with JSON Schema" task

The Apify Dataset JSON Schema Validator Actor will start running based on the input automatically. You can also change all the input fields, like JSON Schema, inline records, and more, to match your specific use case.

Receive the "Validate product records with JSON Schema" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as record index, source type, source dataset id, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Validate product records with JSON Schema" task via API.