You can access the Dataset Cleaner & Exporter 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    "data": [
10        {
11            "Company Name": "  Acme Corp  ",
12            "Email": "SALES@ACME.COM",
13            "Phone": "+1 (555) 123-4567",
14            "Website": "https://Acme.com/",
15        },
16        {
17            "Company Name": "Acme Corp",
18            "Email": "sales@acme.com",
19            "Phone": "555.123.4567",
20            "Website": "https://acme.com",
21        },
22        {
23            "Company Name": "Globex Inc",
24            "Email": "info@globex.io",
25            "Phone": "+1 555 987 6543",
26            "Website": "https://globex.io/",
27            "Details": {
28                "founded": 1998,
29                "tags": [
30                    "b2b",
31                    "logistics",
32                ],
33            },
34        },
35    ],
36    "dedupKeys": ["Email"],
37}
38
39# Run the Actor and wait for it to finish
40run = client.actor("nerolabs/dataset-cleaner-exporter").call(run_input=run_input)
41
42# Fetch and print Actor results from the run's dataset (if there are any)
43print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
44for item in client.dataset(run.default_dataset_id).iterate_items():
45    print(item)
46
47# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Dataset Cleaner & Exporter: Dedupe, Flatten, CSV/XLSX API in Python

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

Install the apify-client

$pip install apify-client

Other API clients include:

Dataset Cleaner & Exporter API in JavaScript

Dataset Cleaner & Exporter API through CLI

Dataset Cleaner & Exporter OpenAPI definition

Dataset Cleaner & Exporter API

CSV File to Dataset

lukaskrivka/csv-file-to-dataset

Upload a local or remote CSV/text file and convert it to Apify Dataset for further use.

Lukáš Křivka

188

JSON to CSV Converter

maximedupre/json-to-csv-converter

Turn a JSON object or collection into a CSV or TSV file. Use direct JSON, a URL, or an Apify dataset, then flatten nested fields, choose columns, and get the complete file with structured rows.

Maxime Dupré

Data Cleaner — messy CSV/Excel/JSON to clean typed data

amanatools/data-cleaner

Clean, deduplicate, and type-infer CSV, Excel, and JSON files from URLs. Returns a quality report, preview rows, and a download link to the cleaned CSV. Built for AI agents and data pipelines.