You can access the Zendesk Help Center 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 Integrations settings 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    "url": "support",
12    "locale": "en-us",
13    "proxy": {
14        "useApifyProxy": true
15    }
16};
17
18// Run the Actor and wait for it to finish
19const run = await client.actor("canadesk/zendesk").call(input);
20
21// Fetch and print Actor results from the run's dataset (if any)
22console.log('Results from dataset');
23console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
24const { items } = await client.dataset(run.defaultDatasetId).listItems();
25items.forEach((item) => {
26    console.dir(item);
27});
28
29// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

Zendesk Help Center API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use Zendesk Help Center 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:

Zendesk Help Center API in Python

Zendesk Help Center API through CLI

Zendesk Help Center OpenAPI definition

Zendesk Help Center API

Zendesk MCP Server Actor

amaranth_nylon/Zendesk-MCP-Server-actor

The Zendesk MCP Server Actor refers to a specialized software component or actor within the Model Context Protocol (MCP) framework, designed to facilitate seamless integration between artificial intelligence (AI) agents and Zendesk's customer support platform.

Yash Kavaiya

RAG Spider - Web to Markdown Crawler for AI Training Data

lenient_grove/RAG-Spider

Enterprise-grade web crawler that converts messy websites into clean, chunked Markdown for AI systems. Uses Mozilla Readability for 95% cleaner extraction than competitors. Outputs RAG-ready data with metadata and token estimates. Perfect for building knowledge bases and training AI chatbots.

Tejas Rawool

5.0

eSIMDB Country Scraper

muhammetakkurtt/esimdb-country-scraper

This Apify actor collects eSIM data plans for specific countries. It collects comprehensive data such as provider information, plan details and pricing from esimdb.com and saves it in the Apify dataset. Users can easily retrieve relevant eSIM data by selecting a country.

Muhammet Akkurt

5.0

Zendesk Multilingual Ticket Exporter

muhammetakkurtt/zendesk-multilingual-ticket-exporter

Incrementally export and translate Zendesk support tickets into any language using Lingo.dev. Perfect for cross-border support analysis, AI training, and creating unified multilingual datasets.

Muhammet Akkurt

5.0

Tech Docs to LLM-Ready Markdown

hedelka/tech-docs-scraper

Scrapes technical documentation sites (Docusaurus, GitBook, MkDocs, ReadTheDocs) and converts them to clean, structured Markdown for RAG pipelines, LLM training, and AI assistants. Automatically detects documentation framework and removes navigation elements.

Dmitry Goncharov

Intercom Help Center

canadesk/intercom

Get Categories and Articles from any public Intercom Help Center. It's fast and costs little.

Canadesk Support

Zoho Help Center

canadesk/zoho

Get Categories and Articles from a Zoho Desk Help Center. It's fast and costs little.

Canadesk Support

Zendesk Help Center Article Sync

joshua20226/zendesk-help-center-article-sync

Sync Apify Dataset items into Zendesk Guide (Help Center) as articles. Create or update articles using templates (Handlebars) for title/body, validate locales, and keep your knowledge base continuously up to date for self-service, agents, and chatbot workflows.

Joshua Kwong

RAG Browser

visita/rag-browser

This Actor provides essential web browsing and content extraction functionality for AI Agents, LLM applications, and Retrieval-Augmented Generation (RAG) pipelines. It functions similarly to the web search feature in popular LLM chatbots, providing fresh, contextualized data directly from the web.

Visita AI & Automation

Multi Agent Architect MCP

ai_crew_solutions/multi-agent-architect-mcp

MCP server providing expert knowledge on multi-agent architectures. Integrates with AI coding agents to deliver pattern recommendations (Supervisor/Worker, Hierarchical, Swarm), framework guidance (LangGraph, CrewAI, AutoGen), and implementation strategies. Supports English and Japanese queries.