ai-agent-book/chapter9/browser-use-rpa/browser-use/docs/cloud/v1/search.mdx

---
title: "Search API"
description: "Get started with Browser Use's search endpoints to extract content from websites"
icon: "magnifying-glass"
mode: "wide"
---

<Warning>
  **🧪 BETA - This API is in beta - it may change and might not be available at
  all times.**
</Warning>

## Why Browser Use Over Traditional Search?

**Browser Use actually browses websites like a human** while other tools return cached data from landing pages. Browser Use navigates deep into sites in real-time:

- 🔍 **Deep navigation**: Clicks through menus, forms, and multiple pages to find buried content
- 🚀 **Always current**: Live prices, breaking news, real-time analytics - not cached results
- 🎯 **No stale data**: See exactly what's on the page right now
- 🌐 **Dynamic content**: Handles JavaScript, forms, and interactive elements
- 🏠 **No surface limitations**: Gets data from pages that require navigation or interaction

**Other tools see yesterday's front door. Browser Use explores today's whole house.**

## Quick Start

The Search API allows you to quickly extract relevant content from websites using AI. There are two main endpoints:

💡 **Complete working examples** are available in the [examples/search](https://github.com/browser-use/browser-use/tree/main/examples/search) folder.

### Simple Search

Search Google and extract content from multiple top results:

```python
import aiohttp
import asyncio

async def simple_search():
    payload = {
        "query": "latest AI news",
        "max_websites": 5,
        "depth": 2
    }

    headers = {
        "Authorization": "Bearer YOUR_API_KEY",
        "Content-Type": "application/json"
    }

    async with aiohttp.ClientSession() as session:
        async with session.post(
            "https://api.browser-use.com/api/v1/simple-search",
            json=payload,
            headers=headers
        ) as response:
            result = await response.json()
            return result

asyncio.run(simple_search())
```

### Search URL

Extract content from a specific URL:

```python
async def search_url():
    payload = {
        "url": "https://browser-use.com/#pricing",
        "query": "Find pricing information for Browser Use",
        "depth": 2
    }

    headers = {
        "Authorization": "Bearer YOUR_API_KEY",
        "Content-Type": "application/json"
    }

    async with aiohttp.ClientSession() as session:
        async with session.post(
            "https://api.browser-use.com/api/v1/search-url",
            json=payload,
            headers=headers
        ) as response:
            result = await response.json()
            return result

asyncio.run(search_url())
```

## Parameters

- **query**: Search query or content to extract
- **depth**: How deep to navigate within each website (2-5, default: 2)
  - `depth=2`: Checks main page + 1 click deeper
  - `depth=3`: Checks main page + 2 clicks deeper
  - `depth=5`: Thoroughly explores multiple navigation levels
- **max_websites**: Number of websites to process (simple-search only, default: 5)
- **url**: Target URL to extract from (search-url only)

## Pricing

### Simple Search

**Cost per request**: `1 cent × depth × max_websites`

Example: depth=2, max_websites=3 = 6 cents per request

### Search URL

**Cost per request**: `1 cent × depth`

Example: depth=2 = 2 cents per request