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Website to Markdown logo

Website to Markdown

hipersoft/web-to-markdown

Turn any web page into clean Markdown — stripped of nav, ads and boilerplate — ready to feed an LLM, RAG pipeline or n8n AI workflow. Article text, title and metadata from a URL.

Total users

2

Monthly users

1

Total runs

75

Per page converted

$0.003

Last rebuilt

Oct 28, 2026

Overview

Turn any web page into clean Markdown — stripped of navigation, ads and boilerplate — ready to feed an LLM, a RAG pipeline, or an AI step in an n8n / Make workflow. Give it a URL and get back the article title, body as Markdown, and metadata.

Website to Markdown input — configure the options in the Apify Console

What it does

  • Extracts the main article content (readability) and converts it to Markdown.
  • Returns title, byline, excerpt and word count.
  • Optional: keep or strip links and images.
  • Saves a .md file per page and puts the Markdown right in the dataset (easy to pipe into an LLM node).

Use cases

  • AI / RAG pipelines — clean text to embed or summarize (perfect for n8n AI Agent / LangChain nodes).
  • Content archiving — save readable copies of articles.
  • Summarize / repurpose — feed clean Markdown to an LLM for summaries or rewrites.

Input

{ "urls": ["https://example.com/blog/post"], "includeLinks": true, "includeImages": true }
Field Type Description
urls array Pages to convert.
html string Optional raw HTML instead of URLs.
includeLinks boolean Keep hyperlinks.
includeImages boolean Keep image references.

Output

Website to Markdown output — the results as a clean dataset

{ "url": "https://example.com/blog/post", "title": "My Post", "wordCount": 812, "markdown": "# My Post\n\n...", "resultUrl": "https://api.apify.com/v2/key-value-stores/.../records/page-0001.md" }

Output schema

Field Type Description
url string (URL) The source page.
title string Article title.
wordCount integer Words in the Markdown.
resultUrl string (URL) Link to the Markdown file.

FAQ

Great for LLMs? Yes — the Markdown drops the page chrome so you feed the model only the real content (fewer tokens, better answers).

Can I use it in n8n? Yes — run it from the Apify node and pass the markdown field to your AI/LLM step. It also works with Make, Zapier and other integrations and the Apify API.

Notes

Original clean-room implementation. Collects only public page content.

Input

FieldTypeDescription
urls
URLs
arrayWeb pages to convert to clean Markdown. One Markdown file per URL.
html
Raw HTML
stringOptional: convert this raw HTML instead of fetching URLs.
includeLinks
Keep links
booleanKeep hyperlinks in the Markdown.
Default: true
includeImages
Keep images
booleanKeep image references in the Markdown.
Default: true

API

curl -X POST "https://api.apify.com/v2/acts/hipersoft~web-to-markdown/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "urls": [
    "https://en.wikipedia.org/wiki/Web_scraping"
  ]
}'

Pricing

EventPricePaid plans from
Page converted
One web page converted to clean Markdown
$0.003$0.0015

You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.

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