Tavily Alternative

Real-Time Web Access Layer for AI Agents

Give your AI agents direct browser access. Fetch any URL as HTML, Markdown, or Text.
Build your own search + extraction workflow with full control.

Works with Claude Desktop, Cursor, VS Code, GitHub Copilot, Claude Code, Cline, and Windsurf.

View Documentation

Get Started Free

(10,000 API Credits)

Works with your favorite AI tools

Claude

Desktop

Cursor

AI Editor

VS Code

+ GitHub Copilot

Claude Code

CLI

Cline

Extension

Windsurf

IDE

Why Pure Web Access?

Build AI agents that browse the web with full transparency and control.

🔎

No Black Box

Your agents query Google/DuckDuckGo directly via SERP scraping, choose their own sources, and fetch full page content. No proprietary reranking or hidden filtering.

📄

Any Format You Need

HTML for structured parsing, Markdown for LLM context, Text for analysis. You decide the output format based on your use case.

🛠

Full Control

Build your own search + extraction pipeline. No vendor lock-in on how you process results. Your agents, your rules.

How It Works: Agent Web Access Workflow

Your agent controls every step of the web research process.

1

Search the Web

Agent searches Google or DuckDuckGo via SERP scraping to find relevant sources

2

Choose Sources

Agent evaluates and selects the most relevant URLs. No vendor reranking.

3

Fetch Content

Agent fetches pages via get_web_page_markdown with full browser rendering

4

Process Data

Your system processes, embeds, or analyzes the extracted content as needed

Three MCP Tools for Web Content Extraction

Get web content in the format your AI needs.

</>get_web_page_html

Get raw HTML from any webpage. Perfect for parsing structured data, extracting specific elements, or feeding to custom processors.

M↓get_web_page_markdown

Get clean, LLM-ready Markdown. Ideal for feeding content directly to AI models, RAG pipelines, or content analysis.

Aaget_web_page_text

Get plain text without formatting. Best for text analysis, summarization, or when you just need the words.

Use Cases for AI Agent Web Access

Build intelligent applications with real-time web data.

📊

RAG Pipelines

Fetch real-time web data for retrieval-augmented generation. Keep your AI's knowledge current by pulling fresh content from any source as clean Markdown.

🤖

AI Agent Research

Let your agents browse the web autonomously. They search, evaluate sources, and extract exactly what they need without human intervention.

🔍

Google SERP Scraping

Scrape Google search results to provide live search data as context for your LLMs. Perfect for agents that need to find and synthesize current information.

📚

Documentation Fetching

Pull any documentation as clean Markdown for your AI context. Keep your coding assistants up-to-date with the latest library docs and API references.

What Will Web Access Cost?

Estimate monthly costs based on your agent's behavior.

Searches per month

3,500

Avg pages fetched per search

5

% requiring JavaScript rendering

30%

Credits Needed

56,000

Recommended Plan

Startup

Monthly Cost

$49

Cost per Search

$0.049

How credits are calculated:

SERP scraping: 10 credits per search engine query
Page fetch (with JS): 10 credits per page
Page fetch (no JS): 1 credit per page

Get Started Free

10,000 free API credits included

Quick Setup for Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "scrapingant": {
      "url": "https://api.scrapingant.com/mcp",
      "transport": "streamableHttp",
      "headers": {
        "x-api-key": "YOUR_API_KEY"
      }
    }
  }
}

Quick Setup Steps

1

Get your API key from ScrapingAnt Dashboard

2

Open Claude Desktop settings and edit the config file

3

Paste the config and restart Claude Desktop

For other tools:

See full MCP Server documentation for Cursor, VS Code, Claude Code, Cline, and Windsurf setup guides.

Why ScrapingAnt MCP for AI Agents?

Direct web access designed for AI agent workflows.

Feature	ScrapingAnt MCP
Data Access	Direct URL fetch - any page, any site
Output Formats	HTML, Markdown, and Plain Text
Web Search	Your choice: Google, DuckDuckGo, Bing via SERP scraping
Pricing Model	Transparent per-request credits
JavaScript Rendering	Full headless Chrome when needed
Proxy Options	Datacenter (50K+ IPs) + Residential (2M+ IPs)
Geo-targeting	25+ countries supported
Control Level	Full pipeline ownership - no black box

Pricing

Transparent Credit-Based Pricing

Same pricing as our Web Scraping API. Start free with 10,000 credits.

Enthusiast

100.000 API credits

$19

/mo

For indie hackers and side projects.

Get Started

~10K page fetches (with JS)

Email support

Startup

500.000 API credits

$49

/mo

For growing AI products and teams.

Popular choice!

Get Started

~50K page fetches (with JS)

Priority email support

Expert assistance

Business

3.000.000 API credits

$249

/mo

For production AI applications.

Get Started

~300K page fetches (with JS)

Priority support

Dedicated manager

Frequently asked questions.

If you have any further questions, Get in touch with our friendly team

How is this different from Tavily?

ScrapingAnt MCP gives you direct web access rather than a pre-processed search API. With Tavily, you send a query and get curated results. With ScrapingAnt, your agent performs its own search via SERP scraping, chooses which pages to fetch, and gets the raw content. This gives you full control over source selection and no hidden reranking algorithms. You build your own pipeline instead of relying on a black box.

Can I use this for RAG pipelines?

Absolutely. The get_web_page_markdown tool is designed exactly for this. It returns clean, LLM-ready Markdown that you can chunk and embed directly into your vector database. You control what gets indexed - fetch documentation, blog posts, news articles, or any web content your RAG system needs.

How do I search the web with ScrapingAnt MCP?

You scrape Google, DuckDuckGo, or Bing search results directly. Fetch the SERP page as HTML or Markdown, parse the results, and your agent can choose which links to follow. This gives you transparent search results without any vendor-side filtering or reranking. Your agent sees exactly what a human searcher would see.

What about rate limits and anti-bot protection?

ScrapingAnt handles this for you. Our infrastructure includes 50K+ datacenter IPs and 2M+ residential IPs with automatic rotation. Browser rendering handles JavaScript-heavy sites. For sites with aggressive anti-bot protection, use residential proxies with geo-targeting. Most sites work out of the box with default settings.

How do credits work for different request types?

SERP scraping (Google, Bing) costs 10 credits per search. Page fetches with JavaScript rendering cost 10 credits. Static page fetches (no JS) cost just 1 credit. Using residential proxies adds additional credits. The calculator above helps you estimate costs based on your specific usage patterns.

Which AI tools support MCP?

Our MCP server works with Claude Desktop, Cursor, VS Code (with GitHub Copilot), Claude Code (CLI), Cline, and Windsurf. Any tool that supports the Model Context Protocol standard can use our server. See our MCP Server page for detailed setup instructions for each tool.

Can I use this outside of MCP (direct API)?

Yes! ScrapingAnt's core Web Scraping API works the same way and can be called from any programming language. Use Python, JavaScript, Go, or any HTTP client. The MCP server is just one interface to the same powerful scraping infrastructure. See our main documentation for API usage.

"Our clients are pleasantly surprised by the response speed of our team."

Oleg Kulyk,
ScrapingAnt Founder

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Tavily Alternative

Real-Time Web Access Layer for AI Agents

Give your AI agents direct browser access. Fetch any URL as HTML, Markdown, or Text.Build your own search + extraction workflow with full control.

Works with your favorite AI tools

Why Pure Web Access?

No Black Box

Any Format You Need

Full Control

How It Works: Agent Web Access Workflow

Search the Web

Choose Sources

Fetch Content

Process Data

Three MCP Tools for Web Content Extraction

</>get_web_page_html

M↓get_web_page_markdown

Aaget_web_page_text

Use Cases for AI Agent Web Access

RAG Pipelines

AI Agent Research

Google SERP Scraping

Documentation Fetching

What Will Web Access Cost?

Need Enterprise Volume?

How credits are calculated:

Quick Setup for Claude Desktop

Quick Setup Steps

Why ScrapingAnt MCP for AI Agents?

Pricing

Transparent Credit-Based Pricing

Enthusiast

100.000 API credits

Startup

500.000 API credits

Business

3.000.000 API credits

Frequently asked questions.

How is this different from Tavily?

Can I use this for RAG pipelines?

How do I search the web with ScrapingAnt MCP?

What about rate limits and anti-bot protection?

How do credits work for different request types?

Which AI tools support MCP?

Can I use this outside of MCP (direct API)?

"Our clients are pleasantly surprised by the response speed of our team."

Features

Pricing

Blog

Documentation

Web Scraping API

LLM-ready web data

JavaScript Rendering API

Playwright Alternative

MCP Server

Tavily Alternative

Residential Proxy

DC Proxy

AI Web Scraper

Custom Scraper Development

Affiliate program

Free proxies

Web Scraping 101

Use Cases

Legal

External Links

Give your AI agents direct browser access. Fetch any URL as HTML, Markdown, or Text.
Build your own search + extraction workflow with full control.