ZenRows MCP
ZenRows MCP gives your agent access to the entire web, including every site that blocks bots.
Model Context Protocol server for the ZenRows Universal Scraper API.
Give any MCP-compatible AI assistant the ability to scrape any webpage — including JavaScript-rendered content and anti-bot protected sites.
Quick Start
Claude Code
claude mcp add zenrows -e ZENROWS_API_KEY=YOUR_API_KEY -- npx -y @zenrows/mcp
Or ask your AI assistant naturally once configured:
Scrape https://example.com and summarize the content.
Tool
scrape
Fetches a webpage and returns its content as clean markdown (default), plaintext, raw HTML, PDF, structured JSON, or a screenshot. See the ZenRows API docs for full parameter reference.
| Parameter | Type | Default | Description |
|---|---|---|---|
url | string | required | Webpage URL to scrape |
js_render | boolean | false | Enable JS rendering for SPAs and dynamic content |
premium_proxy | boolean | false | Use residential proxies to bypass anti-bot systems |
proxy_country | string | — | ISO 3166-1 alpha-2 country code (e.g. US, GB). Requires premium_proxy |
response_type | markdown | plaintext | pdf | html | markdown | Output format. html returns raw source (ZenRows default when no param is sent). Ignored when autoparse, css_extractor, outputs, or screenshot params are set |
autoparse | boolean | — | Auto-extract structured JSON from the page |
css_extractor | string | — | JSON map of CSS selectors: {"title":"h1","price":".price"} |
outputs | string | — | Comma-separated data types to extract as JSON: emails, headings, links, menus, images, videos, audios. Use * for all |
screenshot | boolean | — | Capture an above-the-fold screenshot. Returns an image |
screenshot_fullpage | boolean | — | Capture a full-page screenshot. Returns an image |
screenshot_selector | string | — | Capture a screenshot of a specific element via CSS selector |
wait_for | string | — | CSS selector to wait for before capturing. Requires js_render |
wait | number | — | Milliseconds to wait after load (max 30000). Requires js_render |
js_instructions | string | — | JSON array of browser actions. Requires js_render |
When to use which options
Content doesn't appear or page is blank
→ Enable js_render: true. The page likely uses React, Vue, or Angular.
Getting 403 or blocked errors
→ Add premium_proxy: true. For geo-restricted content, also set proxy_country.
Content loads after a delay or interaction
→ Use wait_for (CSS selector) or wait (milliseconds) with js_render: true.
→ For clicks or form inputs before scraping, use js_instructions.
Only need specific data, not the full page
→ Use css_extractor with a JSON map of selectors for precise extraction.
→ Use autoparse for structured pages like products or articles.
→ Use outputs to pull links, emails, images, or other content types.
Need to verify what the page looks like
→ Use screenshot or screenshot_fullpage for visual debugging.
→ Use screenshot_selector to capture a specific element.
Installation
Claude Desktop
Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": {
"zenrows": {
"command": "npx",
"args": ["-y", "@zenrows/mcp"],
"env": {
"ZENROWS_API_KEY": "YOUR_API_KEY"
}
}
}
}
Claude Code
claude mcp add zenrows -e ZENROWS_API_KEY=YOUR_API_KEY -- npx -y @zenrows/mcp
Or add to your project's .mcp.json:
{
"mcpServers": {
"zenrows": {
"command": "npx",
"args": ["-y", "@zenrows/mcp"],
"env": {
"ZENROWS_API_KEY": "YOUR_API_KEY"
}
}
}
}
Cursor
Edit ~/.cursor/mcp.json (global) or .cursor/mcp.json (project):
{
"mcpServers": {
"zenrows": {
"command": "npx",
"args": ["-y", "@zenrows/mcp"],
"env": {
"ZENROWS_API_KEY": "YOUR_API_KEY"
}
}
}
}
Windsurf
Edit ~/.codeium/windsurf/mcp_config.json:
{
"mcpServers": {
"zenrows": {
"command": "npx",
"args": ["-y", "@zenrows/mcp"],
"env": {
"ZENROWS_API_KEY": "YOUR_API_KEY"
}
}
}
}
VS Code (GitHub Copilot)
Edit .vscode/mcp.json in your project:
{
"servers": {
"zenrows": {
"type": "stdio",
"command": "npx",
"args": ["-y", "@zenrows/mcp"],
"env": {
"ZENROWS_API_KEY": "YOUR_API_KEY"
}
}
}
}
Zed
Edit ~/.config/zed/settings.json:
{
"context_servers": {
"zenrows": {
"command": {
"path": "npx",
"args": ["-y", "@zenrows/mcp"],
"env": {
"ZENROWS_API_KEY": "YOUR_API_KEY"
}
}
}
}
}
JetBrains IDEs
Go to Settings → Tools → AI Assistant → Model Context Protocol and add:
{
"mcpServers": {
"zenrows": {
"command": "npx",
"args": ["-y", "@zenrows/mcp"],
"env": {
"ZENROWS_API_KEY": "YOUR_API_KEY"
}
}
}
}
Examples
Once configured, ask your AI assistant naturally:
Scrape the pricing page at https://zenrows.com/pricing and summarize the plans.
Fetch https://example.com/ — it's a React SPA, so enable JS rendering.
Get the top 5 results from https://www.scrapingcourse.com/ecommerce/ and extract just the product names and prices.
Take a full-page screenshot of https://news.ycombinator.com to see the current layout.
Scrape https://protected-site.com — it keeps blocking me, use premium proxies.
Development
git clone https://github.com/ZenRows/zenrows-mcp
cd zenrows-mcp
npm install
cp .env.example .env # add your API key
npm run dev # run with .env loaded (requires Node 20.6+)
npm run build # compile to dist/
npm run inspect # open MCP inspector UI
Serveurs connexes
Bright Data
sponsorDiscover, extract, and interact with the web - one interface powering automated access across the public internet.
302AI BrowserUse
An AI-powered browser automation server for natural language control and web research.
Crawl4AI RAG
Integrate web crawling and Retrieval-Augmented Generation (RAG) into AI agents and coding assistants.
Amazon MCP Server
Scrapes and searches for products on Amazon.
SnapSender
Capture any website as PNG, JPEG, WebP, or PDF with a single tool call.
Daft.ie MCP Server
Search and retrieve rental property details from Daft.ie via web scraping.
XPath MCP Server
Execute XPath queries on XML content.
BrowserCat MCP Server
Remote browser automation using the BrowserCat API.
MCP Video Download URL Parser
Download watermark-free videos from platforms like Douyin and TikTok.
Real Estate MCP Server
Property search and market analysis from Redfin with neighborhood insights
Claimify
Extracts factual claims from text using the Claimify methodology. Requires an OpenAI API key.