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)
Fetch any web page's HTML or AI-parsed JSON, or run 100+ site plugins, via ScrapeUnblocker.
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。
SCRAPEUNBLOCKER_KEY标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
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 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"scrapeunblocker": {
"command": "npx",
"args": [
"-y",
"scrapeunblocker-mcp"
],
"env": {
"SCRAPEUNBLOCKER_KEY": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add scrapeunblocker --env SCRAPEUNBLOCKER_KEY=your-value -- npx -y scrapeunblocker-mcp运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"scrapeunblocker": {
"command": "npx",
"args": [
"-y",
"scrapeunblocker-mcp"
],
"env": {
"SCRAPEUNBLOCKER_KEY": "your-value"
}
}
}
}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": {
"scrapeunblocker": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"scrapeunblocker-mcp"
],
"env": {
"SCRAPEUNBLOCKER_KEY": "your-value"
}
}
}
}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。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
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。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
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7日
注册名称已通过域名 scrapeunblocker.com 验证(注册中心会核实域名所有权)
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
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
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。
你需要填写:SCRAPEUNBLOCKER_KEY
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.12.6)于昨天进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
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。
A Model Context Protocol server that lets Claude (and any other MCP client) fetch any web page's HTML - or run one of 100+ ready-made site plugins that return structured JSON - through the ScrapeUnblocker scraping API, bypassing anti-bot protection (Cloudflare, DataDome, PerimeterX, Akamai, Shape).
You bring your own API key. Nothing is shared or proxied through us.
| Tool | What it does |
|---|---|
fetch_html | Fetch the fully rendered HTML of a URL. |
browse_page | Run interactive browser steps on a page (click, type, select, scroll, wait), then return the resulting HTML. Not read-only: it acts on the website. |
list_elements | List a page's notable elements with a ready-to-use selector for each (selector discovery). |
fetch_parsed | Fetch a page and return AI-parsed structured JSON. |
google_search | Run a Google search and return the results page as JSON: organic results with real URLs, favicons, sitelinks and ratings, ads, AI Overview, People also ask, related searches with links, knowledge panel, news, videos, local and shopping results. |
fetch_markdown | Fetch a page and return it as clean Markdown: the main content with absolute links, without scripts, styles, navigation or footer. Usually 2-25% the size of the HTML, so it is the cheap way for a model to read a page. |
search_and_read | Search Google and read the top results in one call: Google's AI Overview (when there is one), the first 1-5 result pages as Markdown, and the other results as title, URL and snippet. Billed as one search plus one request per page read. |
list_plugins | List the ready-made site plugins (100+: Amazon, Walmart, Zillow, Booking.com, Indeed, Google Trends, YouTube, App Store, Ahrefs, ...) with their parameters. Free - it calls nothing. |
run_plugin | Run one site plugin and return its structured JSON. |
amazon_search, amazon_product, amazon_reviews, walmart_search, ebay_search, google_shopping, google_local, maps_place_details, google_images, youtube_search, youtube_transcript, zillow_search, indeed_jobs, trustpilot_reviews, booking_hotels | The most-used site plugins as tools of their own, each with its parameters in the tool schema - one call, no list_plugins lookup. Same JSON as run_plugin. |
For many popular sites there is a plugin that returns the data already parsed - a Target search, a Zillow listing search, an app's App Store reviews, Google Trends for a few keywords. The model calls list_plugins (optionally with search: "zillow" or a category) to find the plugin and its parameters, then run_plugin with name and params (the most-used plugins, listed in the table above, can also be called directly as their own tools):
{ "name": "target_search", "params": { "query": "coffee maker", "max_results": 20 } }
Every plugin and parameter is documented on the plugin pages. Each run is billed like an API request.
Some pages only reveal what you need after you interact with them - accept a cookie banner, click a tab, type into a search box and submit, or scroll to trigger lazy loading. Pass a steps array to browse_page and those actions run in a real browser, in order, after the page loads; the resulting HTML is then returned.
Available actions:
| Action | Fields |
|---|---|
wait_for | selector, selector_type? (css/xPath/className/tagName), timeout_ms? |
wait_for_text | value, timeout_ms? |
wait | value (ms) |
click | selector, selector_type?, timeout_ms? |
type | selector, selector_type?, value, clear?, timeout_ms? (typed human-like) |
select | selector, selector_type?, value, timeout_ms? |
press_key | value (Enter, Tab, Escape, Backspace, Delete, Space, Arrow*, Home, End, PageUp, PageDown) |
scroll | value ("bottom" or a pixel offset) |
Steps are not idempotent - they run once per call - and they act on the website, so browse_page is the one tool not marked read-only. If a step fails, browse_page returns which step failed, why, and the page HTML at that moment so you can fix the selector and retry.
list_elements loads a page and returns a JSON list of its notable elements (links, inputs, buttons, selects, ...), each with a ready-to-use selector plus tag, text and useful attributes (name, id, type, placeholder, aria_label, href, ...):
{ "url": "https://example.com", "count": 42, "elements": [ { "tag": "input", "selector": "#search", "type": "text", "placeholder": "Search", "aria_label": "Search" } ] }
The natural workflow is discover, then act: call list_elements to find the selectors you need, then pass matching steps to browse_page to click/type/ select and capture the resulting HTML.
Sign up and grab your key at [app.scrapeunblocker.com](https://app.scrapeunblocker.com?utm_source=mcp&utm_medium=integration&utm_campaign=mcp-server). The server reads it from the SCRAPEUNBLOCKER_KEY environment variable.
The easiest route is the official plugin, which installs this server for you, prompts for your API key (stored in your OS keychain rather than an environment variable), and adds a /scrape-url command plus reference skills:
/plugin marketplace add ScrapeUnblocker/claude-code-plugin
/plugin install scrapeunblocker@scrapeunblocker
See ScrapeUnblocker/claude-code-plugin.
To add the bare server instead:
claude mcp add scrapeunblocker \
--env SCRAPEUNBLOCKER_KEY=your_api_key_here \ -- npx -y scrapeunblocker-mcp
Add this to your claude_desktop_config.json (Settings → Developer → Edit Config):
{
"mcpServers": { "scrapeunblocker": { "command": "npx", "args": ["-y", "scrapeunblocker-mcp"], "env": { "SCRAPEUNBLOCKER_KEY": "your_api_key_here" } } } }
Restart Claude Desktop and the ScrapeUnblocker tools appear.
Run the server over stdio:
SCRAPEUNBLOCKER_KEY=your_api_key_here npx -y scrapeunblocker-mcp
npm install
npm run build # bundles to dist/ with tsup npm run typecheck npm test # builds, then runs the tools against a local stand-in API SCRAPEUNBLOCKER_KEY=... node dist/index.js # run the server
MIT