You can access the Apify Dataset Profiler | Nulls & Cardinality 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
10# Run the Actor and wait for it to finish
11run = client.actor("quanmatrix/dataset-cardinality-anomaly-profiler").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
15for item in client.dataset(run.default_dataset_id).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Apify Dataset Profiler | Nulls & Cardinality API in Python

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

Install the apify-client

$pip install apify-client

Other API clients include:

Apify Dataset Profiler | Nulls & Cardinality API in JavaScript

Apify Dataset Profiler | Nulls & Cardinality API through CLI

Apify Dataset Profiler | Nulls & Cardinality OpenAPI definition

Apify Dataset Profiler | Nulls & Cardinality API

Dataset Aggregate, Group By & Pivot

nerolabs/dataset-aggregate-pivot

Returns GROUP BY and pivot tables for any Apify dataset, file or Google Sheet by URL, or JSON array: count, sum, average, min, max, median per group, date buckets, pivot columns. Exports CSV/Excel, appends to a named dataset, posts to a webhook. Agent-ready: pay per event (x402, MCP), per input row.

Adam Pearce

Pinduoduo Product Scraper & Price Tracker

quanmatrix/pinduoduo-commerce-intelligence

Inspect public Pinduoduo recommendation products, preserve source links and compare CNY price snapshots to identify changes worth checking. Output: Product IDs, titles, URLs, available price fields and repeat-run differences.

Rafael Barreto Haddad

Azure dataset uploader

mvolfik/azure-dataset-uploader

The easiest way to upload datasets to Azure blob storage.

Matěj Volf

Dataset Validity Checker

equidem/Dataset-Validity-Checker

Automatically checks, whether default datasets created by runs of an actor differ too much from the previously encountered ones, allowing it to warn you about web scraping problems caused by, e.g., a website layout changing, or other significant changes in the resulting data.

Matěj Sochor

Tencent Maps Business Scraper for China

quanmatrix/tencent-maps-business-intelligence

Search available public Tencent Maps results by keyword and city and compare observed local listings. Output: Business identifiers, addresses, coordinates and source URLs when accessible.

Rafael Barreto Haddad

Synthetic Dataset Generator

jungle_synthesizer/synthetic-dataset-generator

Generate realistic synthetic datasets with correlated fields, built-in presets (user profiles, companies, e-commerce products, log events), custom schemas, deterministic seeding, and multiple output formats (JSON, CSV, NDJSON).

BowTiedRaccoon

Instagram Profile API

truefetch/instagram-profile-api

Instagram profile API returns 39-field public account records for 1–1,000 usernames or URLs, with identity, audience counts, bio links, recent posts, related profiles, and a follower/following sample per account—no login; from $0.005/result.

TrueFetch

150

5.0

(1)

GitHub Profile Reverse Fast Lookup

trev0n/github-profile-reverse-lookup-scraper

Find GitHub profiles from emails, full names, or username fragments. Returns enriched profile data — login, ID, avatar, bio, company, location, repo counts, and more.

Paweł

Dataset Contract & Regression Tester

gifted_wagon/dataset-contract-tester

Test Apify datasets against versioned contracts. Catch missing and extra fields, type and nullability drift, duplicate keys, and breaking schema changes with CI-ready evidence.

Michael Olmos

JD.com 京东 Product & SKU Scraper | Prices, Stock, Sellers

quanmatrix/jd-product-seller-price-intelligence

Extract JD.com product and SKU identifiers, live price and seller information, and compare historical snapshots for price changes. Uses existing public product URLs or SKU IDs; unavailable fields are not invented.

Rafael Barreto Haddad