AI Dataset Cleaner & Schema Normalizer
Pricing
from $0.99 / 1,000 cleaned records
Clean, normalize, deduplicate and validate Apify datasets or JSON. Infer schemas, fix inconsistent fields, flatten nested data and prepare reliable datasets for AI agents, RAG, CRM, analytics, APIs and databases.
You can access the AI Dataset Cleaner & Schema Normalizer 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 = { "inline_records": [9 {10 "Company Name": " Acme Corp ",11 "Email": " SALES@ACME.COM ",12 "Employees": "25",13 "Website": "https://acme.com/",14 },15 {16 "Company Name": "Acme Corp",17 "Email": "sales@acme.com",18 "Employees": "25",19 "Website": "https://acme.com",20 },21 {22 "Company Name": " Beta SAS ",23 "Email": "N/A",24 "Employees": "12",25 "Website": " https://beta.example.com ",26 },27 ] }28
29# Run the Actor and wait for it to finish30run = client.actor("komelf/ai-dataset-cleaner-schema-normalizer").call(run_input=run_input)31
32# Fetch and print Actor results from the run's dataset (if there are any)33print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")34for item in client.dataset(run.default_dataset_id).iterate_items():35 print(item)36
37# 📚 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 AI Dataset Cleaner & Schema Normalizer API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: