JSON Schema Record Validator
Pricing
$0.05 / completed json schema record validator
Validate inline JSON records against JSON Schema Draft 2020-12 or Draft 7. Export per-record results, complete counts and bounded error paths. Local references only; no network fetching.
You can access the JSON Schema Record Validator programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "recordsJson": "[{\"id\":\"001\",\"quantity\":2},{\"id\":\"002\",\"quantity\":\"invalid\"}]",10 "schemaJson": "{\"type\":\"object\",\"properties\":{\"id\":{\"type\":\"string\"},\"quantity\":{\"type\":\"integer\"}},\"required\":[\"id\",\"quantity\"],\"additionalProperties\":false}",11}12
13# Run the Actor and wait for it to finish14run = client.actor("grounded_goldeneye/json-schema-record-validator").call(run_input=run_input)15
16# Fetch and print Actor results from the run's dataset (if there are any)17print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")18for item in client.dataset(run.default_dataset_id).iterate_items():19 print(item)20
21# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use JSON Schema Record Validator API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: