You can access the Website to Markdown 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
12// Run the Actor and wait for it to finish
13const run = await client.actor("tropical_quince/website-to-markdown").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

Website to Markdown Converter - RAG Data Pipeline API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use Website to Markdown 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:

Website to Markdown API in Python

Website to Markdown API through CLI

Website to Markdown OpenAPI definition

Website to Markdown API

Website To Markdown

smart_api/website-to-markdown

Convert any webpage into clean, LLM-ready Markdown in seconds — perfect for AI training data, RAG pipelines, and content archiving.

SmartApi

5.0

Web-to-Markdown Generator for AI & RAG Pipelines

profitstack/web-to-markdown-generator-for-ai-rag-pipelines

Convert any website into clean, heading-based chunking, LLM-ready Markdown for RAG and AI agents.

Manas Mantri

Website Content to Markdown for LLM Training

easyapi/website-content-to-markdown-for-llm-training

🚀 Transform web content into clean, LLM-ready Markdown! 📘 Scrape multiple pages, extract main content, and convert to Markdown format. Perfect for AI researchers, data scientists, and LLM developers. Fast, efficient, and customizable. Supercharge your AI training data today! 🌐📝🧠

EasyApi

235

5.0

Website to Clean Markdown (AI & RAG Ready)

ahmed_jasarevic/website-to-clean-markdown-ai-rag-ready

Convert any website into clean, noise-free Markdown. Perfect for training LLMs, building Custom GPTs, and RAG pipelines. Save 80% on OpenAI tokens by stripping HTML junk.

Ahmed Jasarevic

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

Docs Markdown Rag Ready Crawler

devwithbobby/docs-markdown-rag-ready-crawler

Turn any documentation site or website into clean, structured markdown—ready for RAG, embeddings, and AI agents.

Dev with Bobby

Website To Markdown

hamzasaleem/website-to-markdown

Convert any webpage to clean, readable Markdown format. Perfect for content extraction and readability.

Hmza

URL to Markdown (JustHTML) - Clean Markdown Extractor

macheta/justhtml-link-to-markdown

Convert webpages to clean Markdown for RAG and archiving. Uses JustHTML and supports optional Cloudflare/Turnstile bypass plus CSS selector extraction.

Anass

5.0

Markdown API

vivid_astronaut/markdown

Fabio Suizu

Markdown Maker: HTML to Markdown 📝

shahidirfan/Markdown-Maker

Instantly convert complex HTML into clean, structured Markdown. This lightweight actor is optimized to render web content into a format that is easily readable for AI LLMs, reducing token usage and improving context. Perfect for RAG pipelines and preparing data for training.