You can access the Dataset Dedupe + Schema Cleanup 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

1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6    token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {};
11
12// Run the Actor and wait for it to finish
13const run = await client.actor("zengdonghunter/dataset-dedupe-schema-cleanup").call(input);
14
15// Fetch and print Actor results from the run's dataset (if any)
16console.log('Results from dataset');
17console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
18const { items } = await client.dataset(run.defaultDatasetId).listItems();
19items.forEach((item) => {
20    console.dir(item);
21});
22
23// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

Dataset Dedupe + Schema Cleanup API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use Dataset Dedupe + Schema Cleanup API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.

Install the apify-client

$npm install apify-client

Other API clients include:

Dataset Dedupe + Schema Cleanup API in Python

Dataset Dedupe + Schema Cleanup API through CLI

Dataset Dedupe + Schema Cleanup OpenAPI definition

Dataset Dedupe + Schema Cleanup API

Validate Dataset(s) with JSON Schema

jaroslavhejlek/validate-dataset-with-json-schema

This Actor validates items in one or more datasets against a provided JSON Schema. Use it if you planning to add a dataset validation schema to your actor and you want test it.

Jaroslav Hejlek

Dataset(s) To Schema

zuzka/dataset-to-schema

Takes a Dataset ID(s) and outputs a JSON schema of the contents of the dataset into key value store.

Zuzka Pelechová

5.0

Structured Data Extractor — URL to JSON

shelvick/structured-extractor

Extract structured data from a batch of URLs as schema-validated JSON. Send web pages and a JSON Schema; it scrapes each (stealth + residential proxy as needed), runs an LLM to convert the page to JSON matching your schema, and validates per URL. Omit schema for best-effort. Public pages only.

Scott Helvick

Tool Output Schema Normalizer

junipr/tool-output-schema-normalizer

Normalize inconsistent tool/actor outputs into a target schema for downstream automation.

junipr

Schema.org Markup Validator

scrappy_garden/schema-org-markup-validator

Validate Schema.org structured data for SEO. Parses JSON-LD, detects Microdata and RDFa, highlights schema types, and reports common issues like invalid JSON-LD, missing @type, non-schema.org @context, and missing key properties for popular schema types.

Bikram Adhikari

Schema Markup Extractor - JSON-LD SEO Data

benthepythondev/schema-markup-extractor

Extract Schema.org JSON-LD structured data from web pages, including schema types, nodes, block counts and parse errors.

Ben

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

CSV to JSON Converter with Schema Inference & Validation

nibble/csv-json-schema-converter

Convert CSV files to clean, typed JSON. Auto-detects delimiter, infers a JSON Schema, and validates rows against your own schema. Ideal for APIs, data pipelines and AI agents.

Simon Fletcher

Schema Markup Generator — JSON-LD Structured Data

perryay/schema-markup-generator

Generate Google-approved JSON-LD structured data for 30+ Schema.org types. Supports SEO schema like Article, Product, FAQ, Event, LocalBusiness, and more.