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CSV Locale Normalizer — Safe IDs, Decimals and Dates

Try for free

Convert CSV to JSON with collision-safe headers, explicit decimal/date rules and a transformation audit. Preserve IDs and leading zeros by default. Supports supplied Unicode text or UTF-8/cp1252 bytes. No external URL fetching or inferred types.

Pricing

from $20.00 / 1,000 completed csv normalization reports

Rating

0.0

(0)

Developer

Miguel Stuardo

Actor stats

Bookmarked

Total users

Monthly active users

12 days ago

Last modified

Categories

Security

You can access the CSV Locale Normalizer — Safe IDs, Decimals and Dates 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    "csvText": """ID;Monto;Fecha;Nota
100001;1.234,500;31/12/2024;sin cambios""",
11    "decimalColumns": { "monto": {
12            "decimalSeparator": ",",
13            "groupSeparator": ".",
14        } },
15    "dateColumns": { "fecha": "%d/%m/%Y" },
16}
17
18# Run the Actor and wait for it to finish
19run = client.actor("mick_mouse/my-actor-3").call(run_input=run_input)
20
21# Fetch and print Actor results from the run's dataset (if there are any)
22print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
23for item in client.dataset(run.default_dataset_id).iterate_items():
24    print(item)
25
26# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

CSV Locale Normalizer — Safe IDs, Decimals and Dates API in Python

The Apify API client for Python is the official library that allows you to use CSV Locale Normalizer — Safe IDs, Decimals and Dates API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

CSV Locale Normalizer — Safe IDs, Decimals and Dates API in JavaScript

CSV Locale Normalizer — Safe IDs, Decimals and Dates API through CLI

CSV Locale Normalizer — Safe IDs, Decimals and Dates OpenAPI definition

CSV Locale Normalizer — Safe IDs, Decimals and Dates API

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