MCP Web Scraper for AI Agents

AI agents often need more than just a list of search results—they need the actual content behind a URL. Whether it's an article, product page, technical documentation, or a structured data table, an agent is only as good as the context it can retrieve.

MCP Scraper solves this by giving AI agents direct web scraping capabilities through the Model Context Protocol.

By integrating the 2Captcha MCP Web Scraper, an agent can seamlessly pull website content, process dynamic pages, extract structured JSON, and handle multiple URLs without requiring developers to build a custom scraping stack. The same MCP setup effortlessly handles simple static pages while gracefully falling back to advanced access methods when encountering JavaScript-heavy sites, proxies, browser rendering requirements, CAPTCHAs, or anti-bot protections.

What is an MCP Scraper?

At its core, an MCP Scraper is a fully featured web scraping service exposed to AI agents as a set of standard MCP tools. Instead of hardcoding scraping logic directly into your application, your MCP-compatible agent can dynamically decide when it needs website data and call the appropriate tool.

A typical workflow looks like this:

User request
    ↓
AI agent
    ↓
MCP Scraper
    ↓
Target website
    ↓
Page processing
    ↓
Clean content / structured data
    ↓
AI agent

For example, if an agent receives this task:

Open these product pages and return
the product name, price, rating and availability.

The agent automatically retrieves the pages, extracts the required fields, and continues working with the structured output.

How MCP web scraping works

A traditional scraping pipeline requires assembling several disparate components:

HTTP client
    ↓
Proxy
    ↓
HTML parser
    ↓
Browser fallback
    ↓
Captcha handling
    ↓
Data extraction

With MCP Scraper, all these underlying capabilities are bundled into a single MCP server. The general flow is simple: you give the AI agent a scraping task, and it selects the relevant extraction tool. The MCP server then accesses the target page, using additional access layers if the page is dynamic or protected. Finally, the clean content or structured data is returned to the agent, which can then analyze, compare, store, or transform the information.

Scrape websites with AI agents

The primary tool for this workflow is:

scrape_page

It takes a URL and retrieves its content in a format optimized for AI agents. Typical tasks include extracting article text, reading technical documentation, collecting product specs, retrieving marketplace listings, scraping tables, gathering links, and fetching content for RAG pipelines.

This fundamentally changes the traditional development model. Instead of a rigid, developer-driven pipeline:

Developer
    ↓
Writes scraper
    ↓
Maintains selectors
    ↓
Processes result
    ↓
Sends data to AI

The workflow becomes entirely autonomous:

User
    ↓
AI agent
    ↓
scrape_page
    ↓
Web data
    ↓
AI analysis

Extract page content

Sometimes, an agent needs the full context of a page rather than isolated data points:

https://example.com/article
        ↓
scrape_page
        ↓
Clean page content
        ↓
AI agent

Once retrieved, this readable, LLM-friendly content can be used for summarization, classification, QA, content analysis, or direct injection into a vector database for RAG pipelines. Crucially, the MCP Scraper handles the heavy lifting of cleaning the HTML, saving the agent from having to process a raw, massive DOM.

Scrape dynamic websites

Not every website can be parsed with a simple HTTP GET request. Modern web applications frequently render data via JavaScript, load content dynamically after the initial request, rely on client-side APIs, or actively block standard HTTP clients.

To handle this, 2Captcha MCP Web Scraper supports browser-based rendering when a basic request falls short. The system follows an adaptive approach:

Target URL
    ↓
Direct access
    ↓
Is the page accessible?
    │
    ├── Yes → Extract data
    │
    └── No → Use additional access methods
                 ↓
              Browser
              Proxy
              Anti-bot handling
              Unlocker
                 ↓
              Extract data

This hybrid approach ensures that simple pages load instantly, while complex or protected pages automatically escalate to a more capable access method. Note: for workflows where the interactive browser session itself is the goal, you should use Browser MCP.

Extract structured data

While raw text is great for summarization, automated data pipelines demand predictable structures. Instead of returning a full HTML dump of a product page, an agent might just need:

{
  "title": "Wireless Headphones",
  "price": 89.99,
  "currency": "USD",
  "rating": 4.6,
  "reviews": 1842,
  "in_stock": true
}

The MCP server includes structured extraction capabilities that transform raw content into clean fields. The data flows neatly from the web into your application:

URL
 ↓
Retrieve page
 ↓
Extract required fields
 ↓
Structured JSON
 ↓
AI agent / database / API

This is invaluable when the output is destined for a database or another API rather than a human reader.

Extract data with a JSON Schema

To guarantee predictable output formats, you can explicitly define the required structure using a JSON Schema. For example:

{
  "type": "object",
  "properties": {
    "title": {
      "type": "string"
    },
    "price": {
      "type": "number"
    },
    "currency": {
      "type": "string"
    },
    "available": {
      "type": "boolean"
    }
  },
  "required": [
    "title",
    "price",
    "currency"
  ]
}

The extraction layer ensures the returned data adheres to this schema, making it perfectly suited for APIs, automation workflows, AI pipelines, product feeds, and analytics systems.

Scrape multiple URLs

Scaling up, many tasks involve dozens or hundreds of pages:

100 product pages
500 articles
50 competitor pages
1,000 marketplace listings

Processing these sequentially through single agent requests is wildly inefficient. The 2Captcha MCP server provides batch tools to handle bulk operations natively:

List of URLs
     ↓
Submit batch job
     ↓
Process pages
     ↓
Check job status
     ↓
Collect results

This dual capability makes the MCP Scraper equally effective for one-off queries and large-scale data harvesting.

Discover pages before scraping

Often, an agent knows the target domain but not the exact URLs. For instance, if tasked to:

Find all product pages in this category
and extract their prices.

The MCP server can seamlessly chain URL discovery with data extraction:

Website
   ↓
discover_urls
   ↓
Relevant URLs
   ↓
scrape_page / batch scraping
   ↓
Extracted data

If the agent doesn't even know which websites to target initially, it can easily insert a web search step at the very beginning of the pipeline:

search_web
    ↓
Find websites
    ↓
scrape_page
    ↓
Extract data

(For workflows focused entirely on discovery, see 2Captcha Web Search MCP.)

Scrape protected websites

Scraping frequently breaks when target sites detect automated HTTP traffic. Typical roadblocks include simple request blocking, JavaScript challenges, IP rate limits, browser fingerprinting, WAFs, and CAPTCHAs.

Rather than forcing the agent to implement workarounds for each of these defenses, the MCP Scraper handles them transparently. Depending on the target's security, it can dynamically stack protections:

Proxy
+
Browser access
+
Anti-bot handling
+
Unlocker

All of these advanced access mechanisms are part of the broader 2Captcha Web MCP toolset.

Proxy support

When websites enforce geo-restrictions, rate-limit by IP, or monitor network reputation, proxy access becomes essential. MCP scraping workflows can leverage proxies on demand, offloading the complexity of proxy rotation and session management from the AI agent. This is crucial for localizing content, large-scale collection, and researching secure marketplaces.

MCP Scraper tools

All of these capabilities are bundled within the main 2Captcha MCP server. Key tools include:

scrape_page
extract
discover_urls
parse_marketplace
scrape_pages
parse_pages

scrape_page

Retrieves and processes a single web page.

extract

Extracts defined structured fields from a URL or from raw HTML content.

discover_urls

Locates relevant URLs before beginning the extraction process.

parse_marketplace

Extracts normalized data specific to ecommerce platforms and product pages.

scrape_pages

Processes multiple URLs simultaneously as a batch job.

parse_pages

Runs complex extraction workflows across multiple URLs.

For the latest tool parameters and updates, refer to the official 2Captcha MCP GitHub repository.

Marketplace scraping

Marketplace and product pages generally share a predictable set of attributes:

Product title
Price
Currency
Rating
Reviews
Seller
Availability
Offers

The MCP server provides dedicated marketplace parsing tools designed to map this raw HTML into clean, structured output without forcing the LLM to parse the entire DOM every single time. For example:

{
  "title": "Example Product",
  "price": 49.99,
  "rating": 4.8,
  "seller": "Example Store",
  "stock": "in_stock"
}

This standardized format is ideal for price monitoring, catalog building, product comparisons, and competitor analysis.

MCP Scraper API

If you prefer to connect remotely, the Scraper is available via the hosted 2Captcha MCP server endpoint:

MCP endpoint:

https://mcp.2captcha.com/mcp

Authentication requires a standard bearer token:

Authorization: Bearer YOUR_API_TOKEN

Your API token is your standard 2Captcha account key. This hosted instance works with any client supporting remote MCP connections. See the 2Captcha MCP Scraper page for up-to-date connection parameters.

How to connect MCP Scraper

There are two main deployment options:

Hosted MCP server

Connect directly to the hosted endpoint:

https://mcp.2captcha.com/mcp

Using the header:

Authorization: Bearer YOUR_API_TOKEN

This requires zero local infrastructure or Node.js processes.

Local MCP server

To run the official MCP package locally, use:

npx @2captcha/mcp

To enable the scraping tools, configure your client to load the parsing group:

{
  "mcpServers": {
    "2captcha": {
      "command": "npx",
      "args": ["@2captcha/mcp"],
      "env": {
        "API_TOKEN": "YOUR_API_TOKEN",
        "GROUPS": "parsing"
      }
    }
  }
}

The official npm package is @2captcha/mcp. Detailed installation guides and configuration examples are available in the 2Captcha MCP GitHub repository.

MCP Scraper with Claude Code

Using Claude Code, you can connect directly to the hosted server:

claude mcp add --transport http 2captcha https://mcp.2captcha.com/mcp \
  --header "Authorization: Bearer YOUR_API_TOKEN"

Or you can run the MCP server locally:

claude mcp add 2captcha \
  -e API_TOKEN=YOUR_API_TOKEN \
  -e GROUPS=parsing \
  -- npx @2captcha/mcp

Once connected, Claude autonomously decides when scraping is necessary and calls the tools directly.

MCP Scraper with Cursor

Cursor integrates with the local package directly via its MCP settings:

{
  "mcpServers": {
    "2captcha": {
      "command": "npx",
      "args": ["@2captcha/mcp"],
      "env": {
        "API_TOKEN": "YOUR_API_TOKEN",
        "GROUPS": "parsing"
      }
    }
  }
}

This grants your coding environment instant access to web content without needing a custom scraping SDK.

MCP Scraper with Codex

The Codex CLI can launch the local server similarly:

codex mcp add 2captcha \
  --env API_TOKEN=YOUR_API_TOKEN \
  --env GROUPS=parsing \
  -- npx @2captcha/mcp

MCP Scraper GitHub repository

The official implementation, documentation, and tooling can be found here:

2Captcha MCP on GitHub

The repository provides everything needed for deployment, including:

• installation instructions;
• hosted and local setups;
• scraping and extraction tools;
• batch processing tools;
• browser and captcha tools;
• client configuration examples.

To run the official npm package (@2captcha/mcp), use:

npx @2captcha/mcp

MCP Scraper use cases

AI data collection

Agents can collect raw website data natively as part of a larger workflow, replacing standalone scraper scripts.

Collect competitor pricing
        ↓
Find relevant pages
        ↓
Scrape pages
        ↓
Extract prices
        ↓
Compare results

Product research

Agents can dynamically fetch pages to pull prices, specs, ratings, sellers, and stock availability.

Website monitoring

You can repeatedly scrape target pages to monitor changes in pricing, inventory, content updates, or documentation.

RAG pipelines

MCP Scraper acts as the perfect retrieval layer for web-based RAG:

URL
 ↓
Scrape content
 ↓
Clean text
 ↓
Chunk / extract
 ↓
Vector database
 ↓
LLM

Competitive research

Quickly aggregate data from public competitor pages, product catalogs, and corporate documentation.

Structured datasets

Easily transform unstructured web pages into predictable JSON records ready for database ingestion or API transmission.

MCP Scraper vs MCP Web Search

These tools handle adjacent stages of the same pipeline.

MCP Web Search	MCP Scraper
Starts with a query	Starts with a URL
Finds relevant pages	Retrieves page content
Returns search results	Returns website data
Used for discovery	Used for extraction

They are built to work in tandem:

search_web
    ↓
Relevant URL
    ↓
scrape_page
    ↓
Page content
    ↓
extract
    ↓
Structured data

For dedicated web discovery workflows, refer to 2Captcha Web Search MCP.

MCP Scraper vs Browser MCP

While MCP Scraper is focused on data retrieval, Browser MCP is designed for active website interaction.

Use MCP Scraper when your goal is to:

Read a page
Extract content
Collect products
Retrieve structured data
Process many URLs

Use Browser MCP when you need to:

Click buttons
Fill forms
Navigate an application
Execute interactive workflows
Maintain a browser session

Note that MCP Scraper may use headless browsers internally to fetch dynamic pages, but it abstract away the complexity. If you need step-by-step interactive automation, use 2Captcha Browser MCP.

MCP Scraper vs Web MCP

MCP Scraper is a specialized tool for extraction. In contrast, Web MCP is the comprehensive umbrella toolkit:

Web MCP
├── Web Search
├── Web Scraping
├── Structured Extraction
├── Browser Automation
├── Proxy Access
└── Unblock

Reach for MCP Scraper when extraction is your primary goal. Use Web MCP when your agent requires the full spectrum of discovery, scraping, and browser automation to complete complex tasks.

FAQ

What is an MCP Scraper?
It's a service that provides AI agents with web scraping tools via the Model Context Protocol, allowing them to autonomously fetch and use website data.

Which MCP tool is used for web scraping?
The primary tool is scrape_page, which retrieves and processes content from a given URL.

Can MCP Scraper extract structured data?
Yes. You can extract specific fields and enforce output formats using a predefined JSON Schema.

Can MCP Scraper scrape dynamic websites?
Yes. It can fall back to browser-based rendering for pages that rely on JavaScript or block standard HTTP clients.

Can MCP Scraper process multiple URLs?
Yes. The server provides batch tools for processing multiple pages concurrently, which is far more efficient than individual agent requests.

Does MCP Scraper support proxies?
Yes, proxy access can be dynamically routed when required by the target site.

Can MCP Scraper handle captcha?
Yes. The broader 2Captcha MCP server includes integrated CAPTCHA detection and solving capabilities for heavily protected sites.

Is MCP Scraper a separate MCP server?
No, scraping capabilities are integrated into the main 2Captcha MCP server. To use them, simply enable the parsing tool group.

What is the MCP Scraper API endpoint?
The hosted endpoint is https://mcp.2captcha.com/mcp, authenticated via the Authorization: Bearer YOUR_API_TOKEN header.

Where is the MCP Scraper documentation?
The product overview lives at the 2Captcha MCP Web Scraper page. Technical docs, tools, and client configurations are available in the official 2Captcha MCP GitHub repository.

What is the difference between MCP Scraper and Browser MCP?
MCP Scraper pulls and extracts data. Browser MCP controls the browser. If you just need data, use the Scraper. If you need to click buttons, fill forms, or maintain a session, use Browser MCP.