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Official Verified browser automation Safety 4/5

browser-read

Extract readable content from browser pages as markdown. Use when web_fetch fails (bot protection, auth-required pages, Twitter/X, LinkedIn) and you already have the page open in the browser.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/bill492/browser-read
Or

What This Skill Does

The browser-read skill is a specialized utility for the OpenClaw AI agent designed to bridge the gap between headless web scraping and browser-based human interaction. When standard web fetching methods fail—often due to bot detection, aggressive CAPTCHAs, or the need for persistent session cookies—browser-read allows the agent to extract clean, readable text directly from the current view of the browser. By executing a refined extraction script within the DOM, it strips away non-essential elements like navigation bars, cookie banners, advertisements, and scripts, distilling the page into structured, content-focused Markdown. This ensures that the AI receives the most relevant information without the noise of the surrounding webpage structure, making it ideal for processing complex, dynamic, or protected web content.

Installation

To integrate this skill into your OpenClaw environment, use the OpenClaw CLI tool. Ensure you have the necessary environment permissions for browser automation, then execute the following command in your terminal:

clawhub install openclaw/skills/skills/bill492/browser-read

Once installed, the skill becomes available as a sub-skill under the browser automation suite. No additional configuration is required beyond ensuring your OpenClaw instance has an active browser target session.

Use Cases

This skill is highly effective for several common browsing challenges:

  • Authenticated Content: Accessing premium newsletters, internal dashboards, or gated community forums where web_fetch lacks the required session context.
  • Bot-Resistant Sites: Bypassing strict anti-scraping protections on sites that identify and block automated requests (like Twitter/X or LinkedIn) but allow human-simulated browser sessions.
  • Content Curation: Converting cluttered, media-heavy articles into clean Markdown to summarize, archive, or analyze key data points without the visual bloat of headers and footers.
  • Dynamic Web Apps: Capturing textual data that only loads after complex client-side JavaScript execution, which standard HTTP requests cannot trigger.

Example Prompts

  1. "Open the LinkedIn profile I just navigated to and summarize the professional experience into a bulleted list using the browser-read skill."
  2. "I am stuck at a login page on the research portal; please log in manually, navigate to the latest report, and then use browser-read to extract the full text so I can analyze the findings."
  3. "Navigate to this Twitter thread about AI regulations and use browser-read to save the content as a markdown file in my local directory."

Tips & Limitations

To get the most out of browser-read, always prioritize standard web_fetch for static, public pages, as it is significantly faster and more resource-efficient. browser-read is a power-user tool meant for edge cases where standard methods fail. Note that because this skill operates by injecting a script into the DOM, it requires an active, successful browser navigation session to function. If the page is still loading or the frame is unresponsive, the extraction may return empty content or fallback to the full raw text. Always ensure the page is fully rendered before triggering the extraction to achieve the best Markdown formatting results.

Metadata

Author@bill492
Stars4473
Views0
Updated2026-05-01
View Author Profile
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-bill492-browser-read": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#scraping#automation#browser#data-extraction#markdown
Safety Score: 4/5

Flags: code-execution, data-collection