CSV Data Cleaner & Profiler
Pricing
Pay per usage
Clean and profile your own CSV/JSON: normalize emails, phones, dates and amounts, remove duplicates, flag bad rows, and get a quality report plus an XLSX file.
You can access the CSV Data Cleaner & Profiler 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 = { "csvText": """Customer ID;Full Name;Email;Phone;Joined;Spend;Notes9C1; Jane Doe ;JANE@Example.COM;(212) 555-0101;01/15/2026;$1,250.00;10C2;John Roe;john@example.com;212.555.0102;2026-02-03;$80;vip11C2;John Roe;john@example.com;212.555.0102;2026-02-03;$80;vip12C3;Bad Mail;bad@;555;13/45/2026;abc;13C4;No Phone;n@example.com;;2026/03/01;(20.50);N/A14""" }15
16# Run the Actor and wait for it to finish17run = client.actor("cleancellco/csv-data-cleaner-profiler").call(run_input=run_input)18
19# Fetch and print Actor results from the run's dataset (if there are any)20print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")21for item in client.dataset(run.default_dataset_id).iterate_items():22 print(item)23
24# 📚 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 CSV Data Cleaner & Profiler API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: