You can access the Record Normalizer & Deduplicator 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 = { "inlineItems": [
9        {
10            "firstName": "Ada",
11            "Postal Code": "12345",
12            "active": True,
13        },
14        {
15            "firstName": "Grace",
16            "Postal Code": "22201",
17            "active": True,
18        },
19    ] }
20
21# Run the Actor and wait for it to finish
22run = client.actor("axelhu/record-normalizer").call(run_input=run_input)
23
24# Fetch and print Actor results from the run's dataset (if there are any)
25print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
26for item in client.dataset(run.default_dataset_id).iterate_items():
27    print(item)
28
29# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

JSON Record Normalizer & Deduplicator API in Python

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

Install the apify-client

$pip install apify-client

Other API clients include:

Record Normalizer & Deduplicator API in JavaScript

Record Normalizer & Deduplicator API through CLI

Record Normalizer & Deduplicator OpenAPI definition

Record Normalizer & Deduplicator API

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

Notion & HubSpot Record Export — Paged, Flattened for CSV

deadwood_data_solutions/connector-record-puller

Pull records out of Notion, HubSpot, Airtable, Supabase or any MCP-connected app into an Apify dataset — with pagination, field selection, flattening for CSV, and incremental runs that only return what's new.

K O

Econdb

prophed/econdb

Fetch public JSON data from Econdb and emit normalized Apify dataset rows.

Prophed Com

AI Chat Export Normalizer

z3n_m4nt1s/ai-chat-export-normalizer

Turn ChatGPT and Claude conversations.json files or export ZIPs into clean, stable, receipt-bearing JSONL records.

theCR8Fconclave SYST3MS

CSV Deduper Normalizer

junipr/csv-deduper-normalizer

Deduplicate and normalize CSV-style rows. Clean whitespace, casing, domains, URLs, and emails, then output kept and duplicate rows plus clean CSV/JSON files.

junipr

Python Code Runner - pip, pandas & Dataset In/Out

automa-flow/python-code-runner

Run your Python main() on rows from a Dataset, JSON or n8n in one API call. pip packages from a requirements field, pandas and openpyxl preinstalled, encrypted secrets as environment variables, rows back with per-item status.