Pricing

from $2.00 / 1,000 page extracteds

RAG Web Extractor

Extract clean markdown from websites for RAG pipelines. Strip nav, ads, boilerplate. Preserve headings, links, images. Recursive crawling with depth control. Chunked output for embedding pipelines. Build AI knowledge bases.

Pricing

from $2.00 / 1,000 page extracteds

Rating

0.0

(0)

Developer

junipr

Actor stats

Bookmarked

Total users

Monthly active users

18 hours ago

Last modified

Categories

Developer tools

You can access the RAG Web Extractor 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    "startUrls": [
12        {
13            "url": "https://crawlee.dev/docs/introduction"
14        }
15    ],
16    "maxPages": 100,
17    "maxDepth": 0,
18    "outputFormats": [
19        "markdown"
20    ],
21    "chunkSize": 1000,
22    "chunkOverlap": 200,
23    "chunkStrategy": "semantic",
24    "waitForTimeout": 5000,
25    "maxScrolls": 20,
26    "paginationMaxPages": 10,
27    "minContentLength": 50,
28    "proxyConfiguration": {
29        "useApifyProxy": true
30    },
31    "maxRetries": 3,
32    "requestTimeout": 30000
33};
34
35// Run the Actor and wait for it to finish
36const run = await client.actor("junipr/rag-web-extractor").call(input);
37
38// Fetch and print Actor results from the run's dataset (if any)
39console.log('Results from dataset');
40console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
41const { items } = await client.dataset(run.defaultDatasetId).listItems();
42items.forEach((item) => {
43    console.dir(item);
44});
45
46// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

RAG Web Extractor - Clean Content for AI API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use RAG Web Extractor 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:

RAG Web Extractor API in Python

RAG Web Extractor API through CLI

RAG Web Extractor OpenAPI definition

RAG Web Extractor API

Web-to-Markdown Generator for AI & RAG Pipelines

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RAG Spider - Web to Markdown Crawler for AI Training Data

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5.0

RAG-Ready Web Scraper & Smart Chunker for AI Knowledge Bases

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Website to Markdown Crawler â€” AI/RAG Data Pipeline

sovereigntaylor/website-to-markdown

Crawl any website and convert every page to clean, structured Markdown. Perfect for RAG pipelines, LLM training data, vector database ingestion, knowledge base building, and AI-powered search. Extracts main content, strips boilerplate, handles metadata, and chunks output for embeddings. Works with L

Ricardo Akiyoshi

Website Content to Markdown

ryanclinton/website-content-to-markdown

Convert any website to clean Markdown for RAG pipelines, LLM training, and AI apps. Crawls pages, strips boilerplate, preserves headings, tables, and code blocks. GFM support.

ryan clinton

Rag Embedding Generator

labrat011/rag-embedding-generator

Generate vector embeddings from text or chunked datasets using OpenAI or Cohere. Chains with RAG Content Chunker for end-to-end RAG pipelines. Outputs raw vectors ready for any vector database.

Mick

Website Content Crawler

crawlerbros/website-content-crawler

Crawls websites and extracts clean text, markdown, or HTML content. Ideal for LLM training data, RAG pipelines, and knowledge base building.

Crawler Bros

5.0

AI-Powered Web Content & Link Extractor

scrapercoder/ai-powered-web-content-link-extractor

Crawls websites to extract clean, structured content for AI/LLM use, ideal for training datasets, knowledge bases, and RAG systems. Json output includes: * text: Normalized page content * links: Extracted sub-URLs

wallnut.ai

165

Web Scraper RAG Ready

traorealexy/Web-Sraper-RAG-Ready

Turn any website into clean, token-efficient Markdown ready for RAG and LLM pipelines. Removes boilerplate, handles JavaScript rendering, and outputs structured JSON for LangChain, LlamaIndex, and vector databases.