# Deep Web Research

> Use this tool when you need to conduct comprehensive online research, gather information, or analyze content without requiring deep knowledge of web scraping techniques. It enables AI models to perform deep web searches, extract content, and capture visual data through Google searches, webpage visits, and screenshot capture. Ideal for AI assistants or applications needing to collect and analyze online data, it provides robust error handling and content cleaning capabilities.

Canonical page: https://skillsregistry.net/skills/qpd-v-deepwebresearch  
JSON: https://api.skillsregistry.net/v1/skills/qpd-v-deepwebresearch

## Description

This web research MCP server, developed by qpd-v, enables AI models to conduct deep web searches and content extraction. Built with TypeScript and leveraging Playwright for web automation, it provides tools for Google searches, parallel multi-query searches, webpage visits, and screenshot capture. The implementation stands out with its robust error handling, consent dialog management, and content cleaning capabilities. It's particularly useful for AI assistants or applications needing to perform comprehensive online research, enabling tasks like information gathering, content analysis, and visual data collection without requiring deep knowledge of web scraping techniques.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/qpd-v-deepwebresearch)
- **Repository:** <https://github.com/qpd-v/mcp-deepwebresearch>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "qpd-v-deepwebresearch"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/qpd-v-deepwebresearch` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/qpd-v-deepwebresearch/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt