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Overview

While Web2MD works on any webpage, certain sites benefit from specialized extraction logic. Web2MD includes 16 platform-specific extractors that use each platform’s API or DOM structure to produce better Markdown output than generic extraction.
Site-specific adapters

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Supported sites

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API-based (no tab needed)

These extractors fetch data directly via the platform’s API, so they work even without an active browser tab.

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Reddit

Extracts the full post content including:
  • Post title, author, subreddit, and score
  • Self-text or link content
  • Up to 200 comments with 4 levels of nesting, including author and score
  • Image and media links
Uses Reddit’s JSON API (/.json) for reliable extraction.

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Hacker News

Extracts full discussion threads via Algolia API:
  • Post title, URL, points, and comment count
  • All comments with author and nesting

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arXiv

Extracts research papers:
  • Paper title, authors, and abstract
  • Full HTML content for research papers

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YouTube

Extracts video metadata:
  • Video title and channel name
  • Duration and view count
  • English subtitles/captions (when available)

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Twitter / X

Extracts tweet content:
  • Tweet text and media
  • Author info and engagement metrics

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DOM-based (requires browser tab)

These extractors parse the page DOM inside the active tab for structured content.

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OpenAI Docs

Extracts documentation pages from OpenAI’s documentation site:
  • Code blocks and API references
  • Structured navigation and content hierarchy

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Claude Chat

Extracts conversation content from the Claude.ai chat interface.

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Notion

Extracts content from public and logged-in Notion pages (notion.so, notion.site):
  • Dual extraction: block-level DOM parsing (data-block-id) with container fallback
  • Headings, text, code blocks, lists, toggles, callouts, quotes
  • Images, tables, bookmarks, and embeds

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Feishu / Lark

Extracts content from Feishu Docx and Wiki pages (feishu.cn, larksuite.com):
  • Dual extraction: PageMain block model with DOM fallback
  • Headings, text, code blocks, lists, tables, images
  • Callouts and checkboxes

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Medium

Extracts article content from Medium’s DOM:
  • Author, publication date, and reading time
  • Full article content

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Substack

Extracts newsletter posts:
  • Author, date, and full article content

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Wikipedia

Extracts article content:
  • Sections, tables, and references
  • Removes navigation and sidebar clutter

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DEV.to

Extracts developer blog posts:
  • Tags, reactions, and comments

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Product Hunt

Extracts product pages:
  • Product descriptions and maker info
  • Discussion threads

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Stack Overflow

Extracts Q&A content:
  • Question title, body, tags, and vote count
  • Accepted answer (highlighted)
  • Top answers with vote counts

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GitHub

Extracts Issues and Pull Requests including:
  • Title, status (open/closed/merged), and labels
  • Original description/body
  • Up to 30 comments with author info
Uses GitHub’s REST API for structured data.

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How adapters work

When you convert a page, Web2MD automatically:
  1. Detects the site from the URL
  2. Selects the best adapter if one exists
  3. Extracts content using the site-specific method
  4. Falls back to generic extraction if the adapter fails
You don’t need to configure anything — adapters are applied automatically.
Site adapters are available to all users (Free and Pro). They run before the main conversion pipeline, so they work regardless of your plan.

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Comparison