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

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("zengdonghunter/dataset-dedupe-schema-cleanup").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

Dataset Dedupe + Schema Cleanup API in Python

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

Install the apify-client

$pip install apify-client

Other API clients include:

Dataset Dedupe + Schema Cleanup API in JavaScript

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

Domain List Cleaner — Normalize & Dedupe URLs

night111/domain-list-cleaner

Clean messy domain and URL lists: normalize, strip paths, remove social-only hosts, dedupe. Perfect prep step before contact enrichment.

ng. night

5.0

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

Dataset Toolkit — Dedupe, Merge, Clean, Diff

glueworks/dataset-toolkit

Post-process any Apify dataset: remove duplicates, merge multiple datasets, clean and normalize fields, or diff two crawls. Outputs a new dataset plus a summary record.

KAHA Chen

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.