You can access the Website to RAG Chunks 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    "startUrls": [
12        {
13            "url": "https://docs.apify.com/platform"
14        }
15    ],
16    "proxyConfiguration": {
17        "useApifyProxy": false
18    }
19};
20
21// Run the Actor and wait for it to finish
22const run = await client.actor("cynix_dev/web-to-rag-chunks").call(input);
23
24// Fetch and print Actor results from the run's dataset (if any)
25console.log('Results from dataset');
26console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
27const { items } = await client.dataset(run.defaultDatasetId).listItems();
28items.forEach((item) => {
29    console.dir(item);
30});
31
32// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

Website to RAG Chunks — Clean Chunked Markdown for AI API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use Website to RAG Chunks 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 RAG Chunks API in Python

Website to RAG Chunks API through CLI

Website to RAG Chunks OpenAPI definition

Website to RAG Chunks API

RAG Web Browser

muhammadafzal/rag-web-browser

Crawl public web pages and return clean, source-linked text chunks for RAG pipelines, vector search, question answering, and AI agents.

Muhammad Afzal

Web Search API for RAG — Search & Extract

tugelbay/rag-web-browser

Web search API that turns Google results and public URLs into Markdown, text, or HTML for RAG and AI agents. Guide: https://konabayev.com/tools/rag-web-browser/?utm_source=apify_info&utm_medium=referral&utm_campaign=rag-web-browser

Tugelbay Konabayev

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

RAG Web Browser

parseforge/rag-web-browser

Fetches web pages from search queries or direct URLs and returns clean content as markdown, text, and optional HTML. Designed to feed RAG pipelines and LLMs with structured data.

ParseForge

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

RAG Corpus Quality Auditor

civicdataworks/rag-corpus-quality-auditor

Score web pages for RAG corpus quality: text length, heading structure, boilerplate hints, token estimate, metadata, and warnings.

Rowan Mercer

RAG-Ready Website Crawler — Clean Content for LLMs & Vector DBs

yourwingman/rag-ready-crawler

Crawl websites and output clean, chunked content optimized for RAG pipelines, LLM training data, and vector databases. Built for AI knowledge bases and semantic search.

Wingman

URL to Markdown - Clean Web Pages for LLMs & RAG

scrapesage/url-to-markdown

Convert any list of web pages to clean Markdown for LLM/RAG ingestion, notes or docs. Main-content mode (Readability) keeps just the article; full-page mode converts the whole body. Tables and links preserved. No browser.

Scrape Sage

RAG Web Browser

scraper-engine/rag-web-browser

RAG Web Browser websites and extract relevant content for Retrieval-Augmented Generation (RAG). Collect clean text, metadata, links, and documents from web pages, then export structured data to JSON, CSV, Excel, or XML for AI assistants, knowledge bases, and semantic search.

Scraper Engine

Site Crawler: Website → Markdown Corpus for LLM/RAG

boxbox10/site-crawler

Crawl a whole website or docs site and get one clean, LLM-ready Markdown + JSON record per page (title, headings, content, links, token count). Built for RAG ingestion and AI knowledge bases.