# Website to Markdown – keyless HTML→clean Markdown for RAG, pay-per-use
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> Published: 2026-10-25 20:20:04+00:00
Website to Markdown — Clean Markdown for LLMs & RAG
Pricing
from $44.00 / 1,000 pages converted (per 5)s
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# Website to Markdown — Clean Markdown for LLMs & RAG
Turn any web page into clean, LLM/RAG-ready Markdown. Strips nav/ads/boilerplate, optional same-domain crawl and overlap-aware chunking for vector databases. Keyless and fast.
Pricing
from $44.00 / 1,000 pages converted (per 5)s
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[Maintained by Community](https://apify.com/noniner)
Fredrik Hansson
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Turn any web page into **clean, LLM/RAG-ready Markdown**. Point it at one URL or a
whole docs site: it strips navigation, ads and boilerplate, keeps the main
content, and returns tidy Markdown — optionally split into **overlap-aware chunks**
ready to embed into a vector database.
Deterministic and **keyless** — no OpenAI key, no per-token cost. Fast, cheap, and
built for people **and** AI agents (available over MCP).
A clean [Firecrawl](https://www.firecrawl.dev/) / [Jina Reader](https://jina.ai/reader/)
alternative on Apify: pay-per-use, no subscription.
## What it does
- **Boilerplate removal** — drops`nav` ,`header` ,`footer` ,`aside` , forms,
scripts, ads and common menu/sidebar classes, then picks the richest`` /`` container.
- **Clean Markdown** —[turndown](https://github.com/mixmark-io/turndown) + GFM, so
tables, code blocks and lists survive intact (ATX headings, fenced code).
- **Same-domain crawl** — set a crawl depth to walk a whole docs site; filter with
include/exclude URL globs.
- **RAG chunking** — optional: split each page into ~N-token chunks with overlap so
vector-DB retrieval keeps context across chunk edges.
- **Token + word counts** — every record carries a rough token estimate for budgeting.
## Input
| Field | Type | Default | Notes |
|---|---|---|---|
| `startUrls` | string[] | — | Seed URLs (required). |
| `maxPages` | integer | 50 | Hard cap 200. One charge per page converted. |
| `maxDepth` | integer | 0 | Same-domain crawl depth. 0 = only the seeds. |
| `maxConcurrency` | integer | 5 | Pages fetched/converted in parallel. |
| `chunkForRag` | boolean | false | Emit chunk records instead of page records. |
| `chunkSize` | integer | 512 | Target chunk size in tokens. |
| `chunkOverlap` | integer | 50 | Token overlap between chunks (< chunkSize). |
| `includeUrlGlobs` | string[] | — | Only follow matching links when crawling. |
| `excludeUrlGlobs` | string[] | — | Never follow matching links (wins over include). |
## Output
One dataset record per page (or per chunk when `chunkForRag` is on):
```
{ "url": "https://quotes.toscrape.com/", "title": "Quotes to Scrape", "markdown": "# Quotes to Scrape\n\n> \"The world as we have created it...\"\n...", "wordCount": 412, "tokenEstimate": 540}
```
Chunk records add `chunkIndex` and drop `wordCount`.
## Example — messy page in, clean Markdown out
A typical article arrives wrapped in nav bars, cookie banners, share widgets and footers. You get only the content:
**In:** one blog/docs URL (full HTML, ~180 KB of markup)
**Out:**
```
# RAG best practices
Retrieval-augmented generation works best when your chunks keep their context.
## 1. Clean your sourceStrip boilerplate before you embed — nav links and cookie banners poison retrieval.
```
Flip on `chunkForRag` and the same page comes back as embed-ready chunks with
overlap and a token estimate per chunk — drop them straight into a vector DB.
## Pricing
Pay-per-event: **$0.10 per 5 pages converted** (≈ **$0.02 / page**). No subscription,
no token fees — you only pay for pages actually converted.
## Part of the No Niner no-code data toolkit
One of 90+ no-code data tools — many chain directly into each other. Browse them all