ScrapingAnt MCP for AI. Extract structured data from any public website.

Q: How do I scrape a page that requires JavaScript to load the data using ScrapingAnt?

You use the scrapewebpage tool. This handles JavaScript rendering, meaning it waits for all dynamic content—like product carousels or interactive widgets—to fully load before capturing the final HTML.

Q: I need to pull only names and prices from a website; which tool should I use? Is scrapestructureddata best?

Yes, extractstructureddata is what you want. You give it the URL and tell your agent exactly what data points (names/prices) and the schema you expect in JSON format. It handles the extraction logic for you.

Q: What's the difference between scrapewebpage and scrapeextendeddata?

scrapewebpage gives you the rendered content, which is usually enough. scrapeextendeddata goes deeper—it captures network logs, cookies, and headers. Use this when you need technical debugging info alongside the content.

Q: Can I use ScrapingAnt to check my remaining API credits?

You can run getapiusage. This tool checks your current credit balance against your account's monthly limit, preventing you from running jobs when you're out of quota.

Q: When should I use scrapeextendeddata instead of scrapewebpage?

scrapeextendeddata provides a deeper technical view than just rendered content. It captures network logs and cookies alongside the page data, which is crucial for debugging scraping issues or analyzing session state. If you only need clean, visible text, stick with scrapewebpage.

Q: What if I need to feed scraped content into a RAG pipeline? Is scrapetomarkdown the right choice?

Yes, use scrapetomarkdown. This tool automatically converts web pages directly into clean Markdown format. It's built for LLM consumption because it preserves structural elements like headings and lists while stripping out messy HTML.

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

How this MCP server connects to your AI agent

ScrapingAnt connects your AI client to a high-performance web data extraction engine. It handles JavaScript rendering, IP rotation via proxies, and CAPTCHA solving automatically.

Use it to get raw HTML, convert pages to clean Markdown, or extract complex JSON structures directly from any website.

What AI agents can do with ScrapingAnt Automation

Scrape extended data

Scrapes a page and retrieves network logs, cookies, and full HTTP headers for deep technical analysis.

Extract structured data

Uses the AI model to pull specific pieces of information from a page and format them as clean JSON data.

Scrape to markdown

Converts an entire webpage into Markdown format, stripping out navigation bars and clutter to keep the core content clean.

+ 2 more capabilities included

Extract structured JSON data

The agent processes web content and outputs specific, predictable fields as a machine-readable JSON object.

Scrape dynamic JavaScript pages

It renders complex websites that rely on JavaScript (like modern shopping carts) and captures the fully loaded content.

Convert web articles to Markdown

The tool scrapes an entire page and cleans it up, removing navigation clutter to leave only clean, readable Markdown text.

Capture network logs and cookies

It performs a deep scrape, returning metadata like HTTP headers and browser cookies alongside the main content for advanced analysis.

Monitor API usage credits

The agent checks your current remaining credit balance against your monthly limit.

Ask an AI about this

Included with Plan

Waiting for input…

AI Agent

What AI agents can do with ScrapingAnt MCP Server: 5 Tools for Web Intelligence

This suite of tools lets your AI agent handle every step of web data extraction—from initial scraping to final structured JSON output.

Make your AI actually useful.

Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.

Start using ScrapingAnt on Vinkius

Scrape Extended Data

Scrapes a page and retrieves network logs, cookies, and full HTTP headers for deep technical analysis.

Extract Structured Data

Uses the AI model to pull specific pieces of information from a page and format them...

Scrape To Markdown

Converts an entire webpage into Markdown format, stripping out navigation bars and...

Scrape Webpage

Scrapes a page using headless browser rendering, automatically bypassing JavaScript...

Get Api Usage

Checks your current API credit balance against your monthly usage limits.

Security and governance baked right in.

Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.

Claude AI

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

Start a conversation

Open a new chat. The ScrapingAnt integration is available immediately — no restart needed.

Antigravity

Configure Agent Environment

Open your Antigravity agent's workspace configuration or mcp-servers.json file.

Bind the Endpoint

Add the Vinkius endpoint URL to your agent's MCP connections list:

"mcp_servers": {
  "scrapingant": {
    "serverUrl": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
  }
}

Provide your secure token in place of [YOUR_TOKEN_HERE] to ensure your agent requests are authenticated.

Execute

Start your Antigravity session. The agent will autonomously discover and utilize the ScrapingAnt tools with full Vinkius guardrails applied.

VS Code Copilot

⚡

One-Click Install (Recommended)

In your Vinkius Dashboard, simply click the Add to VS Code button for this server. We'll automatically configure your local workspace.

Or configure manually

Open MCP Settings

Open VS Code, press Ctrl/Cmd + Shift + P, and search for GitHub Copilot: MCP Servers.

Add Server Config

Add the Vinkius endpoint configuration to your mcp-servers.json file:

"scrapingant": {
  "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}

Ensure you replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

LangChain

Install Dependencies

Install the LangChain MCP adapters for your environment:

pip install langchain-mcp-adapters

Connect the Server

Use the SSEClient in LangChain to connect to the Vinkius managed endpoint:

from langchain_mcp_adapters.client import SSEClient

# Connect to Vinkius
client = SSEClient(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
tools = client.get_tools()

CrewAI

Define the Tool

Load the Vinkius MCP tools into your CrewAI agents:

from crewai import Agent
from mcp_crewai import MCPTool

# Connect securely to Vinkius
vinkius_tools = MCPTool(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

# Assign to Agent
researcher = Agent(
    role='Data Researcher',
    tools=vinkius_tools.get_all()
)

Execute Task

Run your CrewAI process. The agent will autonomously route tasks to the Vinkius managed server.

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
Create Agent Skills with progressive disclosure
Deploy to edge with MCPFusion framework
Built in DLP, auth, and compliance on every call
Real time usage dashboard and cost metering
Publish to catalog or keep private

Start building

Make Your AI Do More

Start with ScrapingAnt, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.

Use this MCP plus 5,100+ others, all in one place
Add new capabilities to your AI anytime you want
Every connection is secured and compliant automatically
Track usage and costs across all your servers
Works with Claude, ChatGPT, Cursor, and more
New servers added to the catalog every week

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ScrapingAnt. 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

Your data is protected. See how we built it.

Built on the Model Context Protocol (MCP) for 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 connection provides 5 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.

Copy-pasting web research into a spreadsheet is slow and fragile., Solved with Vinkius AI Gateway

Today, gathering data means opening tabs, clicking through pages, right-clicking to save, and pasting everything into Google Sheets or Notion. If the site updates its layout—or if it requires you to scroll down first—you lose chunks of data, forcing you to restart the entire process.

With this MCP server, your AI agent handles that mess. You point it at a URL and tell it what you want: 'Give me all product titles in JSON.' It uses its advanced rendering capabilities to scrape the site like a human—but 100 times faster—and gives you exactly what you asked for.

ScrapingAnt MCP Server delivers data, not just HTML.

The biggest time sink in web scraping is the cleanup. You get raw HTML that includes unnecessary headers, footers, and side widgets. Then you spend hours writing parsing scripts to strip out all that noise before your AI model can even look at it.

This server solves the cleaning problem. Use `scrape_to_markdown` for content bases or `extract_structured_data` for metrics. It delivers pre-processed, usable data formats directly into your workflow.

Support 24/7 support@vinkius.com ↗

Security Vinkius Trust Center ↗

SLA Service Level Agreement ↗

Report Listing Send Report ↗

scrapingant

web-scraping

data-extraction

headless-browser

proxy-rotation

markdown-converter

anti-bot-bypass

ai-scraping

mcp

What your AI can actually do with this

Listen up. This server connects your AI client straight into a heavy-duty web data extraction engine. You don't mess with proxies or anti-bot measures manually; it handles all that automatically so you just get the data you need.

When you use scrape_webpage, you bypass JavaScript barriers and anti-bot defenses by rendering pages using a headless browser. This means if a site runs complex code—like modern shopping carts—it'll capture the fully loaded content, not just the skeleton structure. You get reliable data every time.

Need specific info from that messy page? Use extract_structured_data. Your agent processes web content and spits out exactly what you asked for in a clean JSON object. It pulls specific pieces of information and formats them instantly, making the output machine-readable right away.

If you've got an entire article or blog post, don't just grab raw HTML. Run it through scrape_to_markdown. This tool scrapes the whole page and strips out all the crap—the navigation bars, ads, side widgets—leaving you with clean, readable Markdown text that’s perfect for knowledge bases (RAG).

For deep technical dives, use scrape_extended_data. This performs a deeper scrape than usual, returning metadata like full HTTP headers and browser cookies alongside the main content. It's what you need when you gotta analyze how the page loads beneath the hood.

You can also check your account status anytime using get_api_usage to monitor your current remaining credit balance against your monthly limit.

Built · Hosted · Managed by Vinkius ScrapingAnt MCP Server - Web Data Extraction & JSON

Server ID 019dd155-0599-7209-a56a-8e48a04230ab

Vinkius Inspector

Compliance Grade A+

Score 100/100

Report View Report ↗

Who is this actually for?

This tool's core user is anyone whose job requires reliable data extraction from the public web. It’s for the content engineer who needs to automate blog archives, or the data scientist who can't afford manual proxy management.

Data Scientist

They use extract_structured_data and scrape_extended_data to pull specific metrics (like competitor pricing or market stats) into a clean JSON format for immediate analysis.

Content Engineer

They run the scrape_to_markdown tool on bulk web pages, automatically converting them into content that can be fed directly into a knowledge base (RAG).

Growth Hacker

They use scrape_webpage to monitor competitor websites for changes in metadata or product listings without getting blocked by anti-bot measures.

What Changes When You Connect

Stop being blocked. The scrape_webpage tool handles IP rotation and anti-bot bypass, letting you scrape complex sites without constantly running into rate limits or needing a proxy pool manager.

Get clean content for AI. Use scrape_to_markdown. Instead of dumping raw HTML that includes footers and sidebars, this tool cleans the text so your RAG system only sees the article body. It's huge for knowledge bases.

Structure complex data instantly. Never deal with messy CSV imports again. With extract_structured_data, you give a prompt (e.g., 'Give me all product names and prices'), and it returns perfect JSON.

Analyze the full request lifecycle. Need to know how the page loaded? scrape_extended_data captures network logs and cookies, giving you the deep technical data that standard scraping misses.

Keep track of your budget. Use get_api_usage. Before running a massive job, check your credits. It saves time (and money) knowing exactly how much capacity you have left.

See it in action

01 01

Competitive Price Monitoring

A growth hacker needs to track product pricing across 50 competitor pages. Running a simple scrape_webpage job first gets the raw content, then they immediately pipe that into extract_structured_data to pull only the item name and price into a JSON array for comparison.

02 02

Migrating Academic Archives

A researcher needs thousands of academic articles. They use scrape_to_markdown on bulk URLs. This ensures that every article, regardless of how it was originally formatted (HTML/JS), is converted into clean Markdown for easy ingestion into a database.

03 03

Deep Web Content Analysis

A data scientist needs to know not just what text is on a page, but how the browser got there. They run scrape_extended_data to get network logs and cookies, which helps them debug why certain dynamic content isn't appearing.

04 04

Testing Schema Reliability

A developer wants to validate if a specific website always reports the manufacturer ID correctly. They use extract_structured_data with a strict schema and run it repeatedly against different pages to confirm data integrity before deployment.

The honest tradeoffs

Trying to scrape everything at once

Anti-pattern

Running one massive, general scrap job hoping it delivers structured JSON, clean Markdown, and network logs all in the same call. You'll get a huge payload that requires hours of manual cleanup.

The Fix

Use a phased approach. First, use scrape_webpage for raw content capture. Then, if you need structure, run extract_structured_data. If you just need clean text, pipe the result to scrape_to_markdown. Never assume one tool does everything.

Ignoring anti-bot measures

Anti-pattern

Hitting a site with simple scraping calls and getting instantly rate-limited or served a CAPTCHA page. The job stops dead, wasting time.

The Fix

Always start by using scrape_webpage. Its built-in capabilities handle proxy rotation and anti-bot bypass. This is your reliable entry point before you attempt specific data extraction.

Forgetting API limits

Anti-pattern

Starting a huge batch of 1,000 scrapes without checking usage, only to hit the monthly credit limit halfway through and lose the remaining jobs.

The Fix

Always run get_api_usage at the start of any major project. Knowing your available credits is crucial for planning scope and budget.

When It Fits, When It Doesn't

Use ScrapingAnt if you need to reliably pull structured, clean, or deep web data without managing underlying infrastructure. Use it when: 1) You must bypass JavaScript barriers; 2) The output needs to be predictable (JSON); or 3) You are converting bulk content for an LLM/RAG system. Don't use this if: 1) You just need a simple, static image download (use dedicated image APIs instead). 2) Your data source is already in your local database (you don't need scraping). If you only need to check how many credits you have left, run get_api_usage. But for actual content retrieval, use the specialized tools.

Questions you might have

How do I scrape a page that requires JavaScript to load the data using ScrapingAnt? +

You use the scrape_webpage tool. This handles JavaScript rendering, meaning it waits for all dynamic content—like product carousels or interactive widgets—to fully load before capturing the final HTML.

I need to pull only names and prices from a website; which tool should I use? Is `scrape_structured_data` best? +

Yes, extract_structured_data is what you want. You give it the URL and tell your agent exactly what data points (names/prices) and the schema you expect in JSON format. It handles the extraction logic for you.

What's the difference between `scrape_webpage` and `scrape_extended_data`? +

scrape_webpage gives you the rendered content, which is usually enough. scrape_extended_data goes deeper—it captures network logs, cookies, and headers. Use this when you need technical debugging info alongside the content.

Can I use ScrapingAnt to check my remaining API credits? +

You can run get_api_usage. This tool checks your current credit balance against your account's monthly limit, preventing you from running jobs when you're out of quota.

When should I use `scrape_extended_data` instead of `scrape_webpage`? +

scrape_extended_data provides a deeper technical view than just rendered content. It captures network logs and cookies alongside the page data, which is crucial for debugging scraping issues or analyzing session state. If you only need clean, visible text, stick with scrape_webpage.

What if I need to feed scraped content into a RAG pipeline? Is `scrape_to_markdown` the right choice? +

Yes, use scrape_to_markdown. This tool automatically converts web pages directly into clean Markdown format. It's built for LLM consumption because it preserves structural elements like headings and lists while stripping out messy HTML.

How does ScrapingAnt handle repeated scraping attempts or IP blocks? +

The service manages anti-bot defenses using rotating proxies. It automatically handles both datacenter and residential IPs, which significantly boosts your success rate when running large, persistent data extraction jobs.

What is the limit on complexity when I use `extract_structured_data`? +

You define the schema using natural language or a simple JSON prompt. The AI handles mapping that required structure to the source data, even if the website's layout changes slightly between pages.

Can my AI automatically convert a web page into Markdown format? +

Yes! Use the scrape_markdown tool. Provide the URL, and your agent will return the page content cleanly formatted in Markdown instantly.

How do I use AI to extract specific data like prices or stock from a site? +

Simply ask the agent to run the extract_data action. Provide the URL and a prompt or schema of what you need, and ScrapingAnt's AI models will parse the page for you.

How do I find my ScrapingAnt API Key? +

How this MCP server connects to your AI agent

ScrapingAnt connects your AI client to a high-performance web data extraction engine. It handles JavaScript rendering, IP rotation via proxies, and CAPTCHA solving automatically.Use it to get raw HTML, convert pages to clean Markdown, or extract complex JSON structures directly from any website.

What AI agents can do with ScrapingAnt Automation

Scrape extended data

Extract structured data

Scrape to markdown

What AI agents can do with ScrapingAnt MCP Server: 5 Tools for Web Intelligence

Scrape Extended Data

Scrapes a page and retrieves network logs, cookies, and full HTTP headers for deep technical analysis.

Extract Structured Data

Uses the AI model to pull specific pieces of information from a page and format them...

Scrape To Markdown

Converts an entire webpage into Markdown format, stripping out navigation bars and...

Scrape Webpage

Scrapes a page using headless browser rendering, automatically bypassing JavaScript...

Get Api Usage

Checks your current API credit balance against your monthly usage limits.

Security and governance baked right in.

Claude AI

Open Claude Settings

Add Custom Connector

Start a conversation

Claude Code

Open your terminal

Add the MCP Server

Start coding

Cursor

One-Click Install (Recommended)

Open Cursor Settings

Add New Server

Use in Composer

Antigravity

Configure Agent Environment

Bind the Endpoint

Execute

VS Code Copilot

One-Click Install (Recommended)

Open MCP Settings

Add Server Config

Windsurf

One-Click Install (Recommended)

Open Windsurf Settings

Add Server Endpoint

LangChain

Install Dependencies

Connect the Server

CrewAI

Define the Tool

Execute Task

Choose How to Get Started

Build Your Own

Make Your AI Do More

Built on the Model Context Protocol (MCP) for Claude, ChatGPT, Cursor, and more

Copy-pasting web research into a spreadsheet is slow and fragile., Solved with Vinkius AI Gateway

ScrapingAnt MCP Server delivers data, not just HTML.

What your AI can actually do with this

Here's how it actually works

Who is this actually for?

What Changes When You Connect

Competitive Price Monitoring

Migrating Academic Archives

Deep Web Content Analysis

Testing Schema Reliability

The honest tradeoffs

Trying to scrape everything at once

Ignoring anti-bot measures

Forgetting API limits

When It Fits, When It Doesn't

Questions you might have

ScrapingAnt connects your AI client to a high-performance web data extraction engine. It handles JavaScript rendering, IP rotation via proxies, and CAPTCHA solving automatically.

Use it to get raw HTML, convert pages to clean Markdown, or extract complex JSON structures directly from any website.