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Official Verified browser automation Safety 4/5

browser-read-x

Extract the main X/Twitter post or article content from a page that is already open in the browser (using browser act evaluate).

skill-install — Terminal

Install via CLI (Recommended)

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

What This Skill Does

The browser-read-x skill is a specialized, targeted extraction utility designed for the OpenClaw AI agent to parse content from X (formerly Twitter). Unlike generic web scrapers that often capture overwhelming amounts of UI noise—such as navigation sidebars, trending hashtags, login prompts, and engagement metrics—browser-read-x is specifically engineered to target the core content of a tweet or X article. It performs a DOM-level evaluation to isolate the primary status body, ensuring the extracted output is clean, readable, and structured, effectively transforming complex X layouts into a streamlined markdown format.

Installation

To integrate this skill into your OpenClaw environment, use the CLI provided by the platform. Execute the following command in your terminal:

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

This command pulls the source directly from the openclaw/skills repository, automatically handling the dependency chain and preparing the JavaScript evaluation function for immediate use by your agent.

Use Cases

This skill is indispensable in several common automation scenarios:

  • Content Aggregation: Automate the collection of threads or long-form posts from researchers or news outlets on X without needing to bypass aggressive rate-limiting on third-party APIs.
  • Agent Research: When an agent navigates to a URL as part of a research workflow, it may encounter a gated view. By utilizing the browser session, the agent avoids re-authenticating repeatedly, using browser-read-x to ingest the page content already present in the DOM.
  • Data Cleaning: Ideal for developers building training datasets who need text-only representations of posts, stripped of irrelevant visual clutter.

Example Prompts

  1. "Open https://x.com/official_account/status/123456789 and use browser-read-x to summarize the main argument in the post."
  2. "I have an X thread open in my active browser tab. Please run browser-read-x and save the extracted text to my knowledge base."
  3. "Navigate to this Twitter profile link, find the pinned post, and use browser-read-x to extract the content for me."

Tips & Limitations

  • Contextual Reliability: Since this skill relies on browser act evaluate, it requires the target page to be fully loaded and rendered. If the content is behind a dynamic "Show more" button, ensure your agent performs a click interaction first.
  • Fallback Logic: If the script fails to identify a specific X status container, it defaults to a general-purpose article extraction. This ensures that even on non-X pages, you still receive a cleaned-up text extraction, making it highly robust for general web browsing.
  • Performance: For high-volume scraping, always implement pauses to avoid triggering platform-side rate limits.

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-x": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#browser-automation#twitter#data-extraction#scraper#web-agent
Safety Score: 4/5

Flags: code-execution