# Browseai

```json
{
  "name": "Browseai",
  "slug": "browseai",
  "url": "https://composio.dev/toolkits/browseai",
  "markdown_url": "https://composio.dev/toolkits/browseai.md",
  "logo_url": "https://logos.composio.dev/api/browseai",
  "categories": [
    "analytics & data"
  ],
  "is_composio_managed": false,
  "updated_at": "2026-05-12T10:04:12.979Z"
}
```

![Browseai logo](https://logos.composio.dev/api/browseai)

## Description

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Browseai MCP or direct API to extract web data, automate site monitoring, trigger custom robots, and retrieve structured information from any website through natural language.

## Summary

Browseai is a web automation and data extraction platform that turns any website into an API. It's perfect for monitoring websites and retrieving structured data without manual scraping.

## Categories

- analytics & data

## Toolkit Details

- Tools: 11

## Images

- Logo: https://logos.composio.dev/api/browseai

## Authentication

- **Api Key**
  - Type: `api_key`
  - Description: Api Key authentication for Browseai.
  - Setup:
    - Configure Api Key credentials for Browseai.
    - Use the credentials when creating an auth config in Composio.

## Suggested Prompts

- Extract product prices from competitor websites
- Monitor job postings for new remote roles
- Get detailed status of last robot run
- Bulk scrape news article headlines daily

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `BROWSEAI_BULK_RUN_TASKS` | Bulk Run Tasks | This action allows users to bulk run up to 1,000 tasks per API call using a specified robot. For larger datasets, submit multiple bulk runs sequentially (up to 500,000 tasks total). It provides a POST endpoint at /v2/robots/{robotId}/bulk-runs and supports parameters such as robot_id (required), title (required), and input_parameters (required). This bulk operation is essential for large-scale data extraction. |
| `BROWSEAI_CREATE_MONITOR` | Create Monitor | Creates a new monitor for a Browse AI robot to automatically track website changes over time. A monitor runs a robot on a recurring schedule and can notify you when the captured data (screenshots or text) changes. This is useful for tracking price changes, content updates, availability status, or any other dynamic website information. You must first have a robot created (via the Browse AI dashboard) before you can monitor it. Use the GET_ROBOTS action to find available robot IDs. Key features: - Configure recurring schedules (hourly, daily, weekly) using RRULE format - Get email notifications when screenshots or text content changes - Customize notification sensitivity with threshold settings - Override robot parameters for each monitor |
| `BROWSEAI_CREATE_WEBHOOK` | Create Webhook | This tool creates a new webhook for a Browse AI robot. Webhooks are HTTP callbacks that Browse AI sends to your server immediately when specific events occur, eliminating the need for polling. It is useful for: - Setting up automated notifications for task completion - Receiving real-time updates when changes are detected - Integrating Browse AI with your own systems - Automating workflows based on robot task results The webhook can be configured to trigger on different event types: - taskFinished: Triggers on any task completion (success or failure) - taskFinishedSuccessfully: Triggers only on successful task completions - taskFinishedWithError: Triggers only on failed task completions - taskCapturedDataChanged: Triggers when data changes are detected during monitoring - tableExportFinishedSuccessfully: Triggers when table export completes (Beta feature) Note: Browse AI only supports one event type per webhook. To monitor multiple event types, create separate webhooks for each event type. |
| `BROWSEAI_DELETE_MONITOR` | Delete a specific monitor | This tool allows users to delete a specific monitor from their Browse AI account. It uses the DELETE method and requires a valid monitor_id. |
| `BROWSEAI_DELETE_TASK` | Delete a specific task | This tool allows you to delete a specific task in BrowseAI by its task ID. It is used for cleaning up completed or failed tasks, managing resources, and maintaining your task list. |
| `BROWSEAI_GET_ROBOTS` | Get Robots List | Retrieves a list of all robots (automated web tasks) under your Browse AI account. A robot is an automated browser task that can be trained to perform web operations such as: - Opening webpages and navigating through sites - Logging into websites - Clicking buttons and filling forms - Extracting structured data from web pages - Monitoring websites for changes This action returns comprehensive information about each robot including: - Robot ID (required for running tasks via other API endpoints) - Robot name and timestamps (creation/update) - Input parameters the robot accepts (parameter names, types, and whether they're required) Use this to: - Discover available robots and their IDs for task execution - Check robot configuration and required input parameters - Monitor robot creation and update activity - Get an overview of all automated tasks in your account No parameters required - simply call this action to retrieve all robots. |
| `BROWSEAI_GET_ROBOT_TASKS` | Get Robot Tasks | Retrieves a paginated list of all tasks (execution runs) for a specific Browse AI robot. Each task represents one execution of the robot, which includes its current status, execution timestamps, input parameters, captured text data, screenshots, and extracted lists. This tool returns tasks in reverse chronological order (newest first) by default. Use the limit and offset parameters to paginate through large result sets. Use this tool to: - Check the status of recent robot executions (pending, running, successful, failed) - Access data captured by robot tasks (text, screenshots, lists) - Monitor robot performance and execution history - Retrieve task IDs for use with other task-related actions - Debug failed robot executions Note: You must have at least one robot configured in your Browse AI account to use this action. Use the Get Robots List action first to find available robot IDs. |
| `BROWSEAI_GET_SYSTEM_STATUS` | Get System Status | Tool to check the operational status of Browse AI infrastructure, including the tasks queue condition. Use when you need to verify if Browse AI services are operational before running robots or tasks. |
| `BROWSEAI_GET_TASK_DETAILS` | Get Task Details | Retrieves detailed information about a specific Browse AI task by robot ID and task ID. This tool returns comprehensive task details including execution status, captured data, screenshots, input parameters, timestamps (created, started, completed), and error information if the task failed. It provides an in-depth view of individual task execution for monitoring, debugging, and data retrieval purposes. Use this tool when you need to: - Check the current status of a task (running, successful, failed) - Retrieve data captured during task execution - Access screenshots taken during the task - Review input parameters used for the task - Debug task failures by examining error details - Monitor task execution timestamps |
| `BROWSEAI_LIST_ROBOT_WEBHOOKS` | List Robot Webhooks | Tool to retrieve all webhooks configured for a specific Browse AI robot. Use when you need to view, audit, or manage webhook configurations for a robot. Returns webhook details including URL, event type, active status, and creation timestamp. |
| `BROWSEAI_RUN_ROBOT` | Run Robot | Triggers the execution of a Browse.ai robot to extract data from websites. This action starts a new robot task that will scrape/extract data according to the robot's pre-configured settings. The robot runs asynchronously and returns a task ID immediately. To retrieve the extracted data, use BROWSEAI_GET_TASK_DETAILS with the returned task ID. Prerequisites: - You must have at least one robot configured in your Browse.ai account - Obtain robot_id using BROWSEAI_GET_ROBOTS action first - Know what input parameters your robot expects (configured during robot creation) Common use cases: - Scraping product data from e-commerce sites - Monitoring website changes for specific content - Extracting structured data from multiple web pages - Automating repetitive web data collection tasks Note: The robot executes asynchronously. Check task status using BROWSEAI_GET_TASK_DETAILS or BROWSEAI_GET_ROBOT_TASKS to retrieve results when the task completes. |

## Supported Triggers

None listed.

## Installation and MCP Setup

### Path 1: SDK Installation

#### Path 1, Step 1: Install Composio

Install the Composio SDK
```python
pip install composio_openai
```

```typescript
npm install @composio/openai
```

#### Path 1, Step 2: Initialize Composio and Create Tool Router Session

Import and initialize Composio client, then create a Tool Router session
```python
from openai import OpenAI
from composio import Composio
from composio_openai import OpenAIResponsesProvider

composio = Composio(provider=OpenAIResponsesProvider())
openai = OpenAI()
session = composio.create(user_id='your-user-id')
```

```typescript
import OpenAI from 'openai';
import { Composio } from '@composio/core';
import { OpenAIResponsesProvider } from '@composio/openai';

const composio = new Composio({
  provider: new OpenAIResponsesProvider(),
});
const openai = new OpenAI({});
const session = await composio.create('your-user-id');
```

#### Path 1, Step 3: Execute Browseai Tools via Tool Router with Your Agent

Get tools from Tool Router session and execute Browseai actions with your Agent
```python
tools = session.tools
response = openai.responses.create(
  model='gpt-4.1',
  tools=tools,
  input=[{
    'role': 'user',
    'content': 'Extract the latest product prices from the competitor website'
  }]
)
result = composio.provider.handle_tool_calls(
  response=response,
  user_id='your-user-id'
)
print(result)
```

```typescript
const tools = session.tools;
const response = await openai.responses.create({
  model: 'gpt-4.1',
  tools: tools,
  input: [{
    role: 'user',
    content: 'Extract the latest product prices from the competitor website'
  }],
});
const result = await composio.provider.handleToolCalls(
  'your-user-id',
  response.output
);
console.log(result);
```

### Path 2: MCP Server Setup

#### Path 2, Step 1: Install Composio

Install the Composio SDK and Claude Agent SDK
```python
pip install composio claude-agent-sdk
```

```typescript
npm install @composio/core ai @ai-sdk/openai @ai-sdk/mcp
```

#### Path 2, Step 2: Create Tool Router Session

Initialize the Composio client and create a Tool Router session
```python
from composio import Composio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions

composio = Composio(api_key='your-composio-api-key')
session = composio.create(user_id='your-user-id')
url = session.mcp.url
```

```typescript
import { Composio } from '@composio/core';

const composio = new Composio({ apiKey: 'your-api-key' });

console.log("Creating Tool Router session...");
const { mcp } = await composio.create('your-user-id');
console.log(`Tool Router session created: ${mcp.url}`);
```

#### Path 2, Step 3: Connect to AI Agent

Use the MCP server with your AI agent
```python
import asyncio

options = ClaudeAgentOptions(
    permission_mode='bypassPermissions',
    mcp_servers={
        'tool_router': {
            'type': 'http',
            'url': url,
            'headers': {
                'x-api-key': 'your-composio-api-key'
            }
        }
    },
    system_prompt='You are a helpful assistant with access to Browseai tools.',
    max_turns=10
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query('Get Robots List and show their last run status')
        async for message in client.receive_response():
            if hasattr(message, 'content'):
                for block in message.content:
                    if hasattr(block, 'text'):
                        print(block.text)

asyncio.run(main())
```

```typescript
import { openai } from '@ai-sdk/openai';
import { experimental_createMCPClient as createMCPClient } from '@ai-sdk/mcp';
import { generateText, stepCountIs } from 'ai';

const client = await createMCPClient({
  transport: {
    type: 'http',
    url: mcp.url,
    headers: { 'x-api-key': 'your-composio-api-key' }
  }
});

const tools = await client.tools();

const { text } = await generateText({
  model: openai('gpt-4o'),
  tools,
  messages: [{ role: 'user', content: 'Get Robots List and show their last run status' }],
  stopWhen: stepCountIs(5)
});

console.log(`Agent: ${text}`);
```

## Why Use Composio?

### 1. AI Native Browseai Integration

- Supports both Browseai MCP and direct API based integrations
- Structured, LLM-friendly schemas for reliable tool execution
- Rich coverage for reading, writing, and querying your Browseai data

### 2. Managed Auth

- Built-in OAuth handling with automatic token refresh and rotation
- Central place to manage, scope, and revoke Browseai access
- Per user and per environment credentials instead of hard-coded keys

### 3. Agent Optimized Design

- Tools are tuned using real error and success rates to improve reliability over time
- Comprehensive execution logs so you always know what ran, when, and on whose behalf

### 4. Enterprise Grade Security

- Fine-grained RBAC so you control which agents and users can access Browseai
- Scoped, least privilege access to Browseai resources
- Full audit trail of agent actions to support review and compliance

## Use Browseai with any AI Agent Framework

Choose a framework you want to connect Browseai with:

- [OpenAI Agents SDK](https://composio.dev/toolkits/browseai/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/browseai/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/browseai/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/browseai/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/browseai/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/browseai/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/browseai/framework/hermes-agent)
- [Google ADK](https://composio.dev/toolkits/browseai/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/browseai/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/browseai/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/browseai/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/browseai/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/browseai/framework/crew-ai)
- [Pydantic AI](https://composio.dev/toolkits/browseai/framework/pydantic-ai)
- [AutoGen](https://composio.dev/toolkits/browseai/framework/autogen)

## Related Toolkits

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- [Exa](https://composio.dev/toolkits/exa) - Exa is a data extraction and search platform for gathering and analyzing information from websites, APIs, or databases. It helps teams quickly surface insights and automate data-driven workflows.
- [Serpapi](https://composio.dev/toolkits/serpapi) - SerpApi is a real-time API for structured search engine results. It lets you automate SERP data collection, parsing, and analysis for SEO and research.
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## Frequently Asked Questions

### Do I need my own developer credentials to use Browseai with Composio?

Yes, Browseai requires you to configure your own API key credentials. Once set up, Composio handles secure credential storage and API request handling for you.

### Can I use multiple toolkits together?

Yes! Composio's Tool Router enables agents to use multiple toolkits. [Learn more](https://docs.composio.dev/tool-router/overview).

### Is Composio secure?

Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. [Learn more](https://trust.composio.dev).

### What if the API changes?

Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)