Browser Use
Browser agents and stealth cloud browsers for AI: run web tasks, fill forms, extract data.
作者提供的说明(英文原文)
Scrape, crawl, map & search the web. Open-source, self-hostable Rust crawler & search for AI agents.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
适用于网页版、桌面版和手机版 Claude:
https://fastcrw.com/mcp在终端中运行这条命令
claude mcp add --transport http fastcrw https://fastcrw.com/mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"fastcrw": {
"url": "https://fastcrw.com/mcp"
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"fastcrw": {
"type": "http",
"url": "https://fastcrw.com/mcp"
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
ChatGPT 只能连接互联网上的服务器:
https://fastcrw.com/mcp菜单名称可能因套餐和版本不同而略有差异。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日
注册名称已通过 GitHub 账户 us 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
尚未检查;我们会轮流检查各个端点
尚未检查;我们会轮流检查各个端点
尚未检查;我们会在检查端点时读取工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
GitHub 仓库最后更新于–,最新版本(1.0.0)于4个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
同一分类中有:Browser Use, Chrome DevTools MCP, MCP Server Browser
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Browser agents and stealth cloud browsers for AI: run web tasks, fill forms, extract data.
MCP server for Chrome DevTools
MCP server for browser use access
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
fastCRW
Turn URLs into clean markdown or structured JSON with one engine for search, scrape, map, crawl, and extract.
Run it locally as a small Rust binary or use the managed API.
Get 1000 free credits → · Install · Docs
No credit card. Continue with GitHub.
curl -fsSL https://fastcrw.com/install | sh
Runs local and free, no account needed. To use the Cloud, paste your key into the same command and it installs the binary, connects the key, and registers the MCP server with the AI coding tools you already have:
curl -fsSL https://fastcrw.com/install | CRW_API_KEY=crw_live_... sh
crw search "rust tutorials"
Claude Code, Cursor, Codex, Gemini CLI, OpenCode and Windsurf are picked up automatically when they are already set up; nothing else is touched, and your key stays in ~/.config/crw/config.toml rather than being copied into each tool. Add CRW_NO_AGENTS=1 to skip that step, or run crw setup on its own to choose interactively.
1000 free credits, no credit card. Managed proxies, JS rendering and search, with nothing to run or keep up to date. Get my free key →
macOS and Linux, Intel and ARM. More install options →
| Operation | Outcome |
|---|---|
| Scrape | One URL to markdown, HTML, links, screenshots, or schema JSON |
| Crawl | Follow a bounded site crawl and collect its pages |
| Map | Discover URLs without scraping every page |
| Search | Search the web and optionally scrape selected results |
| Extract | Produce structured fields from one or many URLs |
On Firecrawl's own public 1,000-URL dataset, fastCRW recovered more truth than Crawl4AI and Firecrawl, matched the fastest median latency, and idled at ~14 MB RAM.
Methodology, full numbers, and how to reproduce it
On a different benchmark entirely, answer accuracy rather than scrape recall, fastCRW answers 90.0% of the 600 AA-Omniscience questions correctly. Every product listed on the Artificial Analysis Search Index sits below it.
The full 14-product comparison, the control run, and how to reproduce it
crw https://example.com # scrape, works right after install
crw search "rust async runtime" # search, after crw setup
Using Cloud? Get an API key, then export it once:
export CRW_API_KEY="crw_live_..."
pip install crw
from crw import CrwClient
client = CrwClient() page = client.scrape("https://example.com", formats=["markdown"])
print(page["markdown"])
Node.js
npm install crw-sdk
import { CrwClient } from "crw-sdk";
const client = new CrwClient();
const page = await client.scrape("https://example.com", { formats: ["markdown"], });
console.log(page.markdown);
Local mode and more SDK examples → · REST API →
npx -y crw-mcp@latest install
Installs the CRW skill and MCP server in your detected AI tools. crw setup can also do this step, so either path is enough. Manual setup →
| Managed API | Local / self-hosted | |
|---|---|---|
| Best for | Zero infrastructure and managed scaling | Data control, private networks, or custom infrastructure |
| Start | Create an API key, then crw setup | Install and run crw |
| Operations | Managed proxies, billing, and hosted capabilities | You choose renderers, search, auth, proxies, and capacity |
Capabilities and response shapes can differ by deployment: /v1/capabilities · response shapes
The workspace requires Rust 1.85 or newer:
git clone https://github.com/fastcrw/crw
cd crw make check-fast
Read the contributor guide →
crw is better because of these people. Thank you, all of you:
Engine and MCP server: AGPL-3.0. Python and TypeScript SDKs: MIT. Embedding license: hello@fastcrw.com.
Please respect website policies. Crawl and map follow robots.txt by default.