Pricing

from $0.0005 / record validated

JSON Schema Validator — Bulk

Validate JSON documents or every row of a dataset against a JSON Schema and get every failing path with a clear message. Enforce data contracts and QA scraped data.

Pricing

from $0.0005 / record validated

Rating

0.0

(0)

Developer

hiper soft

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

What it does

Validates data against a standard JSON Schema (Draft 7 / 2020-12), with format checks (email, uri, date…).
Handle a single object, an array of records, or a JSON/NDJSON file URL.
Returns per-record valid/invalid plus every error path and message.

Use cases

Data quality — QA scraped datasets against an expected schema.
API contracts — verify payloads match a schema before ingest.
ETL guards — catch malformed records before they hit your database.

Input

{
  "schemaText": "{ \"type\": \"object\", \"properties\": { \"email\": { \"type\": \"string\", \"format\": \"email\" } }, \"required\": [\"email\"] }",
  "dataText": "[{ \"email\": \"a@b.com\" }, { \"age\": 5 }]",
  "allErrors": true
}

Field	Type	Description
`schemaText`	string	The JSON Schema (as text).
`dataText`	string	JSON object or array to validate.
`dataUrl`	string	Optional JSON/NDJSON file URL instead of pasted data.
`allErrors`	boolean	Collect all errors per record (vs stop at first).

Output

{ "index": 1, "valid": false, "errorCount": 1, "firstError": "/ must have required property 'email'", "errors": ["..."] }

Output schema

Field	Type	Description
`index`	integer	Record index in the input array.
`valid`	boolean	Whether the record passed.
`errorCount`	integer	Number of validation errors.
`firstError`	string	First error path + message.
`errors`	array	All error messages.

FAQ

Which JSON Schema drafts are supported? Modern drafts including Draft 7 and 2020-12, with common string formats.

Can I automate it? Yes — via integrations on the Apify platform and the Apify API.

Notes

Original clean-room implementation.

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