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ZenRows MCP. Bypass Cloudflare and scrape structured data from any site.

Claude Claude
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Cursor Cursor
Gemini Gemini
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Just plug in your AI agents and start using Vinkius.

ZenRows is a web scraping engine that connects directly to your AI client via MCP. It scrapes raw HTML, renders complex JavaScript pages, and bypasses anti-bot protections like Cloudflare or DataDome using advanced proxy networks.

Best for extracting structured data (JSON) from e-commerce sites or cleaning article content into Markdown.

What your AI agents can do

Get screenshot

Returns a URL that generates an image of the target web page.

Scrape antibot

Scrapes content using full anti-bot bypass, necessary for heavily protected websites.

Scrape autoparse

Extracts structured data from a site automatically without needing manual field selectors.

+ 7 more capabilities included
Bypass Anti-Bot Protections

Runs scrapes against heavily protected websites by automatically rotating proxies and evading services like Cloudflare.

Render JavaScript Content

Uses a headless browser to scrape Single Page Applications (SPAs), capturing content loaded via client-side JavaScript.

Extract Structured Data

Automatically parses data from complex websites, returning clean JSON records without requiring manual CSS selectors.

Convert to Markdown

Cleans scraped web pages by stripping boilerplate content like ads and navigation menus, resulting in pure text for models.

Target Specific Regions

Executes scrapes using residential proxies limited to specific countries or regions (e.g., US, GB).

Supported MCP Clients

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients
Free for Subscribers

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AI Agent

ZenRows: 10 Tools for Web Scraping

Use these tools in conjunction with your AI client to perform everything from basic HTML extraction to advanced anti-bot bypass and structured data parsing.

get019d7628

get screenshot

Returns a URL that generates an image of the target web page.

scrape019d7628

scrape antibot

Scrapes content using full anti-bot bypass, necessary for heavily protected websites.

scrape019d7628

scrape autoparse

Extracts structured data from a site automatically without needing manual field selectors.

scrape019d7628

scrape custom

Executes a scrape using advanced custom parameters you define.

scrape019d7628

scrape geo

Scrapes content by forcing the request through a proxy located in a specific country.

scrape019d7628

scrape html

Scrapes raw HTML while automatically rotating proxies and handling CAPTCHAs.

scrape019d7628

scrape js

Uses a headless browser to scrape content loaded by JavaScript, which is slower than static scraping.

scrape019d7628

scrape markdown

Scrapes and converts page content into clean Markdown format, removing ads and navigation elements.

scrape019d7628

scrape premium

Uses premium residential proxies to increase the anonymity of your scrape requests.

scrape019d7628

scrape wait

Pauses the scraping process until a specific element (CSS selector) appears on the page.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

  • Import from OpenAPI, Swagger, or YAML specs
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Start building

Make Your AI Do More

Start with ZenRows, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 4,700+ others, all in one place
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  • Track usage and costs across all your servers
  • Works with Claude, ChatGPT, Cursor, and more
  • New servers added to the catalog every week

What you can do with this MCP connector

ZenRows connects your AI client to industrial-grade web scraping via MCP. It’s built for when you need data from a website, period—no setup headaches, just clean output. We handle the messy bits: proxy rotation, CAPTCHAs, and rendering JavaScript so your agent gets what it needs.

Handling Protected Sites & Anti-Bot Measures:
If a site is locked down with Cloudflare or DataDome, you gotta use scrape_antibot. This tool runs scrapes using full anti-bot bypass tech; it’s necessary for heavily protected websites. For general scraping that still needs to dodge detection, scrape_html handles the raw HTML extraction while automatically rotating proxies and managing CAPTCHAs along the way.

When you need maximum anonymity—like when you're doing high-volume data pulls—you use scrape_premium, which leverages premium residential proxies to make your scrape requests look like they come from real people.

Extracting Specific Data Types:
Don’t waste time writing manual selectors; just run scrape_autoparse. This tool automatically extracts structured data, dumping clean JSON records even if the site is complex—perfect for e-commerce or search results. If you know exactly what you're looking for and need to define parameters yourself, scrape_custom lets you execute a scrape using advanced custom settings that you specify.

Dealing with Dynamic & Visual Content:
If the content only loads after JavaScript runs (like on most Single Page Applications), you gotta call scrape_js. This uses a headless browser to capture the full rendered state, ensuring your agent gets client-side data and not just the initial skeleton HTML. Sometimes, though, you need to wait for something specific before continuing; use scrape_wait to pause the process until a particular element (identified by its CSS selector) actually appears on the page.

Cleaning Up and Targeting:
Need content that’s clean enough for an LLM? Run scrape_markdown. This tool scrapes the web page and converts it into pure Markdown format, stripping out all the junk like ads, navigation menus, and boilerplate garbage. If you just need raw HTML without worrying about structure, use scrape_html to grab the basic code.

To target content from a specific place—say, only pricing for Germany or US-only articles—you run scrape_geo. This executes scrapes by forcing the request through high-anonymity residential proxies limited to country codes you specify.

Utility Tools:
Sometimes all your agent needs is a picture of what's going on. You can use get_screenshot to return a URL that generates an image of the target web page, letting you visually confirm the layout or state. If scraping isn’t enough and you just need a visual reference, you get a screenshot URL.

ZenRows handles everything behind the scenes—the proxies, the JavaScript rendering, the bot evasion—so your agent gets clean, usable data immediately.

How ZenRows MCP Works

  1. 1 Subscribe to the server and provide your ZenRows API Key to your AI client.
  2. 2 Ask your agent to use a function like scrape_js for dynamic content or scrape_autoparse for structured data extraction.
  3. 3 Your agent receives clean, processed web data (HTML, JSON, or Markdown) directly from the server.

The bottom line is you tell your AI client what to scrape and where; ZenRows handles all the proxy management, rendering, and cleaning.

Who Is ZenRows MCP For?

Data Engineers who need reliable pipelines that don't break when a target website updates its security. Market Analysts tracking global product prices across different countries. AI Researchers needing massive, clean datasets for model fine-tuning.

Data Engineer

Automates web scraping pipelines, using scrape_antibot to maintain uptime against aggressive bot detection systems.

Market Analyst

Monitors product pricing and availability across multiple global regions using scrape_geo with residential proxies.

AI Researcher

Quickly collects large, clean Markdown datasets for model training, relying on scrape_markdown to strip boilerplate.

What Changes When You Connect

  • Stop losing scrapes to anti-bots. Use scrape_antibot to guarantee access to heavily protected websites, regardless of how many times they update their defenses.
  • Don't waste time building complex selectors. Just run scrape_autoparse and get clean JSON data from major e-commerce or search platforms instantly.
  • Get the full picture with scrape_js. If the content loads in your browser, this tool captures it. It’s essential for Single Page Applications (SPAs).
  • Clean up messy web pages immediately. scrape_markdown converts raw HTML into clean Markdown, making dataset creation fast and reliable.
  • Target specific markets with scrape_geo. Run a scrape using US proxies to verify local pricing or content availability in real-time.

Real-World Use Cases

01

Monitoring global competitor pricing

A market analyst needs current prices for an item across Germany and the UK. They use scrape_geo twice, first targeting 'de' and then 'gb', ensuring their agent pulls localized data points rather than generalized results.

02

Extracting content from a modern news site

An AI researcher needs thousands of clean articles. They use scrape_markdown because the target site is full of ads and sidebars; this tool strips out all boilerplate, leaving only pure text for model training.

03

Scraping a JavaScript-heavy dashboard

A developer needs data from an internal portal built with React. Since the data only appears after JS runs, they use scrape_js to render the full page state before extracting the necessary content.

04

Verifying a website layout change

A web specialist needs proof that a button is visible in London. They first run get_screenshot to generate an image, then use scrape_geo with 'gb' proxies to ensure the result isn't just cached content.

The Tradeoffs

Using basic scrapers on SPAs

Running plain scrape_html against a modern Single Page Application (SPA). The result is often empty or incomplete because the initial HTML skeleton doesn't contain the data.

You must use scrape_js. This enables JavaScript rendering, which executes the site’s code and captures the full, dynamic content state.

Manual data cleanup in your prompt

Getting raw data via scrape_html and then having to write complex instructions in your agent prompt to remove ads or navigation menus.

Use scrape_markdown. It automatically converts the page content, stripping out boilerplate elements so you get clean text right away.

Assuming all sites are open

Running a scrape against a major site like LinkedIn without any anti-bot measures. Your agent will likely hit rate limits or Cloudflare blocks.

Always preface your scraping with scrape_antibot to ensure the request passes through advanced bypass mechanisms.

When It Fits, When It Doesn't

Use this server if you need reliable, multi-layered web data extraction. Specifically: Use scrape_autoparse when the target is a known platform (e-commerce, search) and you know the structure; use scrape_js when the content relies on client-side code execution; use scrape_antibot or scrape_premium if you anticipate bot detection. Don't use this just because it exists. If you only need a simple static page from an old, basic website, scrape_html is enough and faster. But if the site has any modern protection or dynamic content, start with scrape_antibot or scrape_js. Never try to scrape sensitive data without considering regional proxies via scrape_geo; you might get localized pricing instead of global metrics.

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ZenRows. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

VINKIUS INFRASTRUCTURE

Cloud Hosted

Managed infra

V8 Isolated

Sandboxed per request

Zero-Trust Proxy

No stored credentials

DLP Enforced

Policy on every call

GDPR Compliant

EU data residency

Token Compression

~60% cost reduction

How we secure it →

Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This server provides 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.

Available Capabilities

get_screenshot scrape_antibot scrape_autoparse scrape_custom scrape_geo scrape_html scrape_js scrape_markdown scrape_premium scrape_wait

Manual scraping means jumping between tools and dealing with messy HTML.

Today, getting reliable web content is a nightmare. You check the source code; it’s empty. Then you try to render it in your browser—it works! But then you realize the site is behind Cloudflare or the data only appears after a JavaScript function runs five seconds later. You end up switching between proxy managers and headless browsers just to get one page.

With ZenRows, you simply ask your agent for the content. It figures out if it needs `scrape_js`, if it needs `scrape_antibot`, or if it needs `scrape_geo`—and it handles all that complexity in the background. You just get the data.

ZenRows MCP Server: Structured, Clean Data Every Time

The old way involved running a basic scrape (`scrape_html`) and then spending hours cleaning up the resulting mess—removing ads, parsing tables into JSON, or manually checking for geo-specific data. It was brittle, slow, and required multiple specialized scripts.

Now, you run `scrape_markdown` to get clean text; you hit `scrape_autoparse` for JSON records; you use `scrape_geo` for regional content. Your AI agent orchestrates it all in one chat command. That's the difference.

Common Questions About ZenRows MCP

How do I scrape a modern SPA with ZenRows? +

You must use the scrape_js tool. This function runs the headless browser, waiting for JavaScript to execute and capturing the fully rendered page state instead of just the initial HTML.

What's the difference between `scrape_html` and `scrape_antibot`? +

scrape_html is standard scraping with proxy rotation. scrape_antibot, however, adds specialized bypass logic to handle sophisticated protections like DataDome or PerimeterX.

Can I get structured data from a website using scrape_autoparse? +

Yes. The scrape_autoparse tool analyzes the page structure and automatically extracts common records (like product details or addresses) into clean JSON format, eliminating manual selector writing.

Does ZenRows support scraping content for specific countries? +

Yes, use scrape_geo. This function forces the scrape to originate from a proxy in a country you specify (e.g., 'us' or 'gb'), guaranteeing localized data.

How do I use `scrape_wait` if the data on a page loads slowly or dynamically? +

You can pause execution at a specific element using this tool. You provide both a CSS selector and the required wait time in seconds. This ensures your agent captures the full HTML state, not an incomplete one.

Does `scrape_markdown` remove unwanted elements like site navigation or ads? +

Yes, it cleans the content heavily for you. It strips out boilerplate sections—things like menus, ad units, and footers—leaving only core article text suitable for LLM ingestion.

What if I need precise control over my scrape? Can `scrape_custom` handle it? +

Absolutely. This tool lets you pass advanced parameters like specific CSS extractors or session IDs. It gives deep, granular control when standard scraping methods fall short.

Before running a full scrape, how can I check if the target page renders correctly using `get_screenshot`? +

You generate a URL that returns the visual screenshot of the page. This lets you verify rendering or spot subtle visual changes without having to run a costly full scraping job first.

Can ZenRows bypass Cloudflare or other aggressive bot protections? +

Yes. Using the scrape_antibot tool, ZenRows activates specialized technology to bypass Cloudflare, DataDome, and other advanced bot detection systems, ensuring you can access the content you need through chat.

How do I get clean Markdown from a website for my AI agent? +

You can use the scrape_markdown tool. ZenRows will retrieve the page and automatically convert the content into structured Markdown, removing ads and navigation headers to provide a clean input for LLMs.

Can I see what a dynamic page looks like before extracting data? +

Absolutely. Use the get_screenshot tool to retrieve a direct link to an image file representing the fully rendered target page, helping you verify that JavaScript content is correctly displayed.

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Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients

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