# Scrapeless (Google Search)

> Use this tool when you need to perform advanced Google searches with customizable parameters, such as query text, country code, and language preferences, to retrieve current web information without switching context. It solves problems of information retrieval and contextual switching, providing structured text responses as output. Ideal for AI assistants requiring up-to-date web data, it takes in query parameters and returns relevant search results.

Canonical page: https://skillsregistry.net/skills/scrapeless-google-search  
JSON: https://api.skillsregistry.net/v1/skills/scrapeless-google-search

## Description

Scrapeless MCP Server provides a bridge to the Scrapeless API, enabling AI assistants like Claude to perform Google searches with advanced query capabilities. Built with TypeScript using the Model Context Protocol SDK, it exposes a 'google-search' tool that supports customizable parameters including query text, country code, and language preferences. The server authenticates with the Scrapeless API using environment variables and formats search results as structured text responses. This implementation is particularly valuable for AI assistants that need to retrieve current web information without requiring users to switch context to a separate search interface.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/scrapeless-google-search)
- **Repository:** <https://github.com/scrapeless-ai/scrapeless-mcp-server>

## 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": "scrapeless-google-search"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/scrapeless-google-search` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/scrapeless-google-search/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