You can access the RAG Web Browser — URL & Website to Markdown for LLM & RAG 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    "query": "best vector database for RAG",
10    "maxResults": 5,
11    "searchLanguage": "en",
12    "outputFormats": ["markdown"],
13    "includeMetadata": True,
14    "minContentLength": 200,
15    "crawlDepth": 0,
16    "maxCrawlPages": 10,
17    "sameDomainOnly": True,
18    "concurrency": 10,
19    "requestTimeoutSecs": 30,
20    "hedgeDelaySecs": 4,
21    "maxRetries": 2,
22}
23
24# Run the Actor and wait for it to finish
25run = client.actor("s-r/rag-web-browser").call(run_input=run_input)
26
27# Fetch and print Actor results from the run's dataset (if there are any)
28print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
29for item in client.dataset(run.default_dataset_id).iterate_items():
30    print(item)
31
32# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

URL to Markdown API — Website to Markdown for LLM & RAG API in Python

The Apify API client for Python is the official library that allows you to use RAG Web Browser — URL & Website to Markdown for LLM & RAG API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

RAG Web Browser — URL & Website to Markdown for LLM & RAG API in JavaScript

RAG Web Browser — URL & Website to Markdown for LLM & RAG API through CLI

RAG Web Browser — URL & Website to Markdown for LLM & RAG OpenAPI definition

RAG Web Browser — URL & Website to Markdown for LLM & RAG API

Markdown API

vivid_astronaut/markdown

BRAINIALL Team

URL to markdown

apify/url-to-markdown

An Apify Actor that takes a URL as input and returns the content of the page in Markdown format.

Apify

Pdf To Markdown

vivid_astronaut/pdf-to-markdown

BRAINIALL Team

Website To Markdown

swarmgarden/website-to-markdown

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

Swarm Garden

Web Page to Markdown Extractor

fetch_cat/web-page-to-markdown-extractor

Convert public URLs into clean Markdown, text, metadata, links, images, and optional HTML for AI and automation workflows.

Hanna Nosova

Website to Markdown Converter

lofomachines/website-to-markdown-converter

Best faster and cheaper way to convert any web page into clean, structured, LLM-ready Markdown.

Lofomachines

HTML to Markdown Converter — Clean conversion with batch

perryay/html-to-markdown

Clean, AI-ready Markdown from any HTML source. Converts web pages or raw HTML to well-structured Markdown — preserving headings, lists, tables, code blocks, links, and images. Clean mode strips ads and navigation. Batch convert up to 50 items via URL fetch or direct HTML input.

Perry AY

URL to Markdown for LLMs (polite, robots-respecting)

weltverbenzer/url-to-markdown-for-llms

Turn any URL into clean, LLM-ready Markdown for AI agents and RAG pipelines. Enforces robots.txt, extracts main content (Readability) and converts to Markdown. Returns title, byline and markdown.

Johannes Witt

X/Twitter Article Markdown API

parsebird/x-twitter-article-markdown

Convert public X/Twitter article and tweet content to Markdown by tweet ID. Batch up to 10 IDs and export Markdown as JSON, CSV, or Excel.

ParseBird

Website to Markdown — Clean Page Text for LLMs

sourcedirect/website-to-markdown

Fetch any URL and return clean markdown/text plus links. No headless browser for most pages. Free demo: https://vaytric.com/page-to-markdown/ — bulk URL lists here.