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from $0.48 / 1,000 row auditeds

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Spreadsheet Date Normalizer with Ambiguity Report

Try for free

Normalize CSV and inline-row date columns to ISO dates with explicit DMY/MDY policy, original values, candidate dates and ambiguity reports. Export cleaned CSV without locale guessing.

Pricing

from $0.48 / 1,000 row auditeds

Rating

0.0

(0)

Developer

Automation Lab

Actor stats

Bookmarked

Total users

Monthly active users

4 days ago

Last modified

Categories

Developer tools

You can access the Spreadsheet Date Normalizer with Ambiguity Report 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    "rows": [
10        {
11            "id": "A",
12            "date": "12/5/23",
13        },
14        {
15            "id": "B",
16            "date": "05-Dec-2023",
17        },
18        {
19            "id": "C",
20            "date": "2023.12.05",
21        },
22        {
23            "id": "D",
24            "date": "31/02/2023",
25        },
26        {
27            "id": "E",
28            "date": "",
29        },
30    ],
31    "dateColumns": ["date"],
32}
33
34# Run the Actor and wait for it to finish
35run = client.actor("automation-lab/spreadsheet-date-normalizer").call(run_input=run_input)
36
37# Fetch and print Actor results from the run's dataset (if there are any)
38print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
39for item in client.dataset(run.default_dataset_id).iterate_items():
40    print(item)
41
42# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Spreadsheet Date Normalizer with Ambiguity Reports API in Python

The Apify API client for Python is the official library that allows you to use Spreadsheet Date Normalizer with Ambiguity Report API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Spreadsheet Date Normalizer with Ambiguity Report API in JavaScript

Spreadsheet Date Normalizer with Ambiguity Report API through CLI

Spreadsheet Date Normalizer with Ambiguity Report OpenAPI definition

Spreadsheet Date Normalizer with Ambiguity Report API

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