web-page-marker

name

web-page-marker

description

Extracts complete readable Markdown content from any web page. Use when users need to convert a webpage to markdown, scrape article content, extract main text from a URL, fetch readable content of a blog post or news article, convert HTML to markdown format, extract documentation pages for offline reading, scrape tutorial content, get the text content of any HTTP/HTTPS URL. Also applies to: content extraction, article scraping, webpage to text conversion, documentation scraping, content monitoring.

Web — Page to Markdown Extraction

Target URL → clean Markdown content

Language

All process output to user follows the user's language.

Objective

Extract the main readable content from any web page as clean Markdown, stripping navigation, ads, sidebars, and other chrome.

Prerequisites

• browser-act CLI installed and verified

Pre-execution Checks

If browser-act has been confirmed available in the current session → skip.

Invoke browser-act via Skill tool to load usage. Resolve any installation issues.

Capability Components

API: Extract page as Markdown

The easiest way — uses BrowserAct's page-to-markdown API:

python -u ./scripts/web_page_marker.py "https://example.com"

Parameters:

• target_url: The full URL to extract content from (required)

DOM: Extract via browser-act

Alternative method using browser-act directly:

1. browser-act --session page-extract stealth-extract "{target_url}"
2. The output is clean markdown content

Or for more control with a session:

1. browser-act --session page-extract browser open <id> "{target_url}"
2. wait stable
3. get markdown

Data Output

Successful execution returns:

• content: The complete markdown content of the webpage
• title: Page title
• url: Source URL

Error Handling & Retry

• Output contains "Invalid authorization" → API Key invalid or expired. Do not retry. Guide user to get a valid key from BrowserAct Console.
• Task fails with Error: or empty result → retry once automatically.
• Retry limited to one time. If second attempt fails, report error to user.

Typical Use Cases

1. Article Extraction: Scrape main content of a news article into markdown
2. Blog Post Parsing: Download readable text from a blog post URL
3. Webpage to Markdown: Convert any website URL into clean markdown
4. Documentation Scraping: Fetch tutorial or documentation page content
5. Content Monitoring: Extract text from specific webpages for updates
6. AI Context: Feed webpage content to an AI model by converting to markdown first