GroundAPI Web Researcher for Openclaw

A sophisticated web research skill for AI agents that automates search query deconstruction, web scraping, and structured report synthesis.

qingkongzhiqian
v1.1.0
Apr 15, 2026
0
841
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install groundapi-web-researcher

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install groundapi-web-researcher using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is GroundAPI Web Researcher?

GroundAPI Web Researcher is a high-performance tool designed for Openclaw Skills users who require deep, real-time intelligence gathering. By leveraging the GroundAPI MCP server, this skill enables AI agents to move beyond simple search results, allowing them to deconstruct complex topics into multiple search vectors, verify trending topics, and extract full-text content from authoritative sources. It is built to turn raw web data into professional, synthesized research reports with clear citations and actionable insights.

This skill is particularly effective for developers and researchers who need to automate the manual process of information gathering. It handles the nuances of web interaction, such as prioritizing official sources over blogs and managing scraping failures by falling back to search snippets, ensuring that Openclaw Skills users always receive the most reliable data available.

GroundAPI Web Researcher Use Cases

  • Conducting deep dives into emerging technologies like solid-state batteries or new AI frameworks.
  • Performing side-by-side competitive analysis of products or software libraries.
  • Monitoring real-time industry trends and daily news bulletins for specific sectors.
  • Automating the creation of structured research reports for market intelligence.

How GroundAPI Web Researcher Works

  1. The skill analyzes the user prompt and breaks it down into 1-3 specific search queries covering different technical or market perspectives.
  2. It optionally checks global trending data and daily bulletins to determine the current public interest and appropriate search recency filters.
  3. The agent executes targeted searches using GroundAPI, filtering for the most relevant results from the past day, week, or month.
  4. It selects the 3-5 most authoritative URLs and scrapes the full-text content to gather detailed evidence.
  5. All gathered information is synthesized into a Markdown report featuring an overview, categorized key findings, and a complete list of sources.

GroundAPI Web Researcher Setup

To use this skill within the Openclaw Skills ecosystem, you must have a valid GroundAPI key. Configure your MCP server environment as follows:

{
  "mcpServers": {
    "groundapi": {
      "url": "https://mcp.groundapi.net/mcp",
      "headers": {
        "X-API-Key": "YOUR_GROUNDAPI_KEY"
      }
    }
  }
}

GroundAPI Web Researcher Data Schema & Taxonomy

The GroundAPI Web Researcher organizes data into a structured hierarchy to ensure clarity and traceability:

Component Description
Overview A punchy 2-3 sentence summary of the core research conclusions.
Key Findings Bulleted data points grouped by perspective (e.g., Technical, Market, Industry).
Insights A synthesis section distinguishing between objective facts and subjective predictions.
Comparison Table A dimension-based matrix used specifically during 'Comparison Mode'.
Source List A numbered list of all utilized URLs with titles and brief descriptions.

GroundAPI Web Researcher Advanced Features

  • Intelligent Query Deconstruction: Automatically turns vague requests into multi-angled search strategies.
  • Real-time Trend Awareness: Integration with trending tools to prioritize the latest news for hot topics.
  • Specialized Comparison Mode: Automatically switches to a tabular output format when comparing two or more entities.
  • Authority-First Scraping: Prioritizes official documentation and authoritative media over general blog content.
  • Failure Resilience: Gracefully handles scraping blocks by utilizing search snippets when full-text access is restricted.

SKILL.md


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