You can access the Dataset Quality Checker 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    "records": [
10        {
11            "name": "Alice Corp",
12            "email": "alice@example.com",
13            "phone": "+1-555-123-4567",
14            "website": "https://alice.com",
15        },
16        {
17            "name": "Bob Inc",
18            "email": "bob@example.com",
19            "phone": "5559876543",
20            "website": "bob.com",
21        },
22        {
23            "name": "",
24            "email": "invalid-email",
25            "phone": "123",
26            "website": "not-a-url",
27        },
28    ],
29    "datasetId": "",
30    "apifyToken": "",
31    "emailFields": [
32        "email",
33        "emails",
34        "contact.email",
35        "emailAddress",
36    ],
37    "urlFields": [
38        "url",
39        "website",
40        "websiteUrl",
41        "contact.website",
42        "link",
43    ],
44    "phoneFields": [
45        "phone",
46        "phoneNumber",
47        "contact.phone",
48        "telephone",
49    ],
50    "nameFields": [
51        "name",
52        "companyName",
53        "businessName",
54        "title",
55        "business_name",
56    ],
57    "duplicateCheckFields": [
58        "email",
59        "url",
60        "phone",
61        "name",
62    ],
63    "maxRecords": 50000,
64}
65
66# Run the Actor and wait for it to finish
67run = client.actor("riad_h/dataset-quality-checker").call(run_input=run_input)
68
69# Fetch and print Actor results from the run's dataset (if there are any)
70print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
71for item in client.dataset(run.default_dataset_id).iterate_items():
72    print(item)
73
74# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Dataset Quality Checker API in Python

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

Install the apify-client

$pip install apify-client

Other API clients include:

Dataset Quality Checker API in JavaScript

Dataset Quality Checker API through CLI

Dataset Quality Checker OpenAPI definition

Dataset Quality Checker API

Apify Dataset Quality Profiler

eager_vitamin/apify-dataset-quality-profiler

Profile missing fields, nulls, empty strings, JSON types, distinct counts, and duplicate keys in an Apify dataset.

Lau Kuan Ee

Dataset Cleaner & Deduplicator — Quality Engine

egeusta/dataset-quality-deduplication-engine

Clean datasets, remove duplicate rows, detect missing values, normalize emails and phones, and validate schemas before exporting to CRM or databases.

Ege Usta

Apify Dataset QA Gate

zentrafoundry/apify-dataset-quality-auditor

Score Apify datasets and emit actionable quality issues before downstream use.

Zentra

Dataset Quality Gate - Schema & Data QA

jy-labs/dataset-quality-gate

Apify Dataset data validation and schema validation for JSON rows. Check Dataset ID, Run ID, or pasted items before delivery, automation, or AI/RAG ingestion.

jy-labs

Data.gov.uk Scraper - Cheap 🌐📊🇬🇧

scrapestorm/data-gov-uk-scraper---cheap

🔎 Easily collect dataset listings from data.gov.uk Provide one or multiple search URLs and extract dataset information such as 📄 Dataset Title 🏢 Published By 🕒 Last Updated 📝 Description 🔗 Dataset URL & more Perfect for open data research, government data monitoring & dataset discovery 📊🚀