
Validate Dataset(s) with JSON Schema
Pricing
Pay per usage

Validate Dataset(s) with JSON Schema
This Actor validates items in one or more datasets against a provided JSON Schema. Use it if you planning to add a dataset validation schema to your actor and you want test it.
0.0 (0)
Pricing
Pay per usage
0
Total users
1
Monthly users
1
Runs succeeded
50%
Last modified
2 months ago
You can access the Validate Dataset(s) with JSON Schema 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 Integrations settings 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 = { "schema": {9 "$schema": "http://json-schema.org/draft-07/schema#",10 "type": "object",11 "properties": {},12 "required": [],13 } }14
15# Run the Actor and wait for it to finish16run = client.actor("jaroslavhejlek/validate-dataset-with-json-schema").call(run_input=run_input)17
18# Fetch and print Actor results from the run's dataset (if there are any)19print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])20for item in client.dataset(run["defaultDatasetId"]).iterate_items():21 print(item)22
23# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
Validate Dataset(s) with JSON Schema API in Python
The Apify API client for Python is the official library that allows you to use Validate Dataset(s) with JSON Schema API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-client
Other API clients include: