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JSON Data Cleaner & Normalizer

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Clean, normalize, trim, lowercase keys, and remove duplicate JSON records. Ideal for APIs, automation workflows, ETL pipelines, and dataset preparation.

Pricing

from $0.25 / 1,000 results

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0.0

(0)

Developer

Luca Gallifuoco

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Monthly active users

5 days ago

Last modified

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You can access the JSON Data Cleaner & 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {}
9
10# Run the Actor and wait for it to finish
11run = client.actor("urban_souffle/mf-99-data-normalization-for-unified-job-market").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
15for item in client.dataset(run.default_dataset_id).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

JSON Cleaner & Normalizer | Deduplicate Data API in Python

The Apify API client for Python is the official library that allows you to use JSON Data Cleaner & Normalizer API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

JSON Data Cleaner & Normalizer API in JavaScript

JSON Data Cleaner & Normalizer API through CLI

JSON Data Cleaner & Normalizer OpenAPI definition

JSON Data Cleaner & Normalizer API

Data Cleaner & Normalizer (JSON/CSV)

zenomastro/data-cleaner-normalizer

Clean and normalize JSON/CSV data: trim whitespace, lowercase emails, normalize phone numbers and dates, drop empty values/rows, and deduplicate by a field.

Rosario Vitale

ai-data-cleaner-classifier

keratogenous_surgeon/dataset-ai-cleaner

Clean, normalize, deduplicate, and classify JSON, CSV, or Apify datasets using rules or OpenAI models. Built for automation pipelines, data preparation, and AI workflows. Supports dataset chaining, cost controls, and safe fallbacks.

King Shepherd

Dataset Deduplicator & Cleaner

starshaped_bullsnake/dataset-deduplicator-cleaner

Remove duplicate rows from an Apify Dataset or inline JSON. Deduplicate by selected fields, trim strings, and write the cleaned rows to a new Dataset.

Starshape Tools

CSV/JSON Schema Normalizer

zentrafoundry/csv-json-schema-normalizer

Normalize CSV and JSON rows into stable, typed, automation-ready records.

Zentra

Data Cleaner

parsebird/data-cleaner

Clean messy data — remove nulls, normalize case, trim whitespace, format phone numbers and emails, extract domains, convert types, and more. Works with Apify datasets or direct JSON input.

ParseBird

Dataset Cleaner & Deduplicator — Quality Engine

egeusta/dataset-quality-deduplication-engine

Clean datasets, remove duplicate rows, detect missing values, normalize emails and phones, and validate schemas before exporting to CRM or databases.

Ege Usta

JSON Dataset Cleaner and Deduplicator

rodrgds/dataset-cleaner

Clean JSON datasets, remove empty rows, deduplicate by any field, validate emails, and prepare scraper output for CRMs, analysis, or AI workflows.

Rodrigo Dias

Dataset Cleaner & Deduplicator

luminous_i/dataset-cleaner-deduplicator

Clean, normalize and deduplicate any dataset: field names, whitespace, empty values, numbers, plus exact and fuzzy duplicate removal.

Steve

CSV & Excel Data Quality Cleaner

automation-lab/csv-excel-data-quality-cleaner

Clean CSV and Excel files under explicit rules, normalize columns and values, flag or remove duplicates, and export cleaned rows plus a structured validation report.