# Crawlbase

```json
{
  "name": "Crawlbase",
  "slug": "crawlbase",
  "url": "https://composio.dev/toolkits/crawlbase",
  "markdown_url": "https://composio.dev/toolkits/crawlbase.md",
  "logo_url": "https://logos.composio.dev/api/crawlbase",
  "categories": [
    "data & analytics"
  ],
  "is_composio_managed": false,
  "updated_at": "2026-10-04T14:48:10.272Z"
}
```

![Crawlbase logo](https://logos.composio.dev/api/crawlbase)

## Description

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Crawlbase MCP or direct API to crawl web pages, manage crawler queues, retrieve stored crawl results, and monitor account usage through natural language.

## Summary

Crawlbase is a web crawling API platform for fetching pages, managing crawler queues, storing crawl results, and tracking usage.
It helps developers collect web data at scale without building and maintaining crawler infrastructure.

## Categories

- data & analytics

## Toolkit Details

- Tools: 8

## Images

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

## Authentication

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

## Suggested Prompts

- Crawl product pages for pricing changes
- Extract headlines from competitor blogs
- Check crawl queue status today

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `CRAWLBASE_CRAWL_URL` | Crawl URL | Fetch a public HTTP or HTTPS URL through Crawlbase using the connected Normal token and return its content with separate target and Crawlbase statuses. |
| `CRAWLBASE_DELETE_STORED_PAGES` | Delete Stored Pages | Irreversibly delete explicitly selected pages from Crawlbase Cloud Storage by request ID and return each page's deletion outcome. |
| `CRAWLBASE_GENERATE_USER_AGENTS` | Generate User Agents | Generate one to ten realistic randomized User-Agent strings for a selected device class. |
| `CRAWLBASE_GET_CRAWLING_USAGE` | Get Crawling Usage | Return current Crawling API usage and optionally previous-month statistics for the connected Crawlbase account. |
| `CRAWLBASE_GET_STORAGE_COUNT` | Get Storage Count | Return the number of pages currently held in Crawlbase Cloud Storage. |
| `CRAWLBASE_GET_STORED_PAGE` | Get Stored Page | Retrieve the latest Crawlbase Cloud Storage page by exactly one request ID or original URL. |
| `CRAWLBASE_GET_STORED_PAGES` | Get Stored Pages | Retrieve up to 100 Crawlbase Cloud Storage pages by request ID without deleting them. Returns decoded page content and identifies requested IDs that were not found. |
| `CRAWLBASE_LIST_STORED_PAGE_IDS` | List Stored Page IDs | Return one page of Crawlbase Cloud Storage request IDs and a short-lived continuation cursor. |

## Supported Triggers

None listed.

## Installation and MCP Setup

### Path 1: SDK Installation

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

Install the Composio SDK, the OpenAI provider, and the OpenAI SDK
```python
pip install composio composio_openai openai
```

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

#### Path 1, Step 2: Create a Composio session

Initialize Composio with the OpenAI Responses provider and create a session scoped to Crawlbase
```python
import json
from openai import OpenAI
from composio import Composio
from composio_openai import OpenAIResponsesProvider

composio = Composio(provider=OpenAIResponsesProvider())
client = OpenAI()

session = composio.create(user_id="your-user-id", toolkits=["crawlbase"])
tools = session.tools()
```

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

const composio = new Composio({ provider: new OpenAIResponsesProvider() });
const client = new OpenAI();

const session = await composio.create("your-user-id", { toolkits: ["crawlbase"] });
const tools = await session.tools();
```

#### Path 1, Step 3: Run Crawlbase tools with your agent

Send a request, execute the Crawlbase tool calls through the session, and print the final answer
```python
response = client.responses.create(
    model="gpt-5.6-sol",
    tools=tools,
    input=[{"role": "user", "content": "Crawl https://example.com and return the page title and main text"}],
)

while True:
    tool_calls = [o for o in response.output if o.type == "function_call"]
    if not tool_calls:
        break
    results = composio.provider.handle_tool_calls(response=response, session=session)
    response = client.responses.create(
        model="gpt-5.6-sol",
        tools=tools,
        previous_response_id=response.id,
        input=[
            {"type": "function_call_output", "call_id": call.call_id, "output": json.dumps(results[i])}
            for i, call in enumerate(tool_calls)
        ],
    )

print(response.output_text)
```

```typescript
let response = await client.responses.create({
  model: "gpt-5.6-sol",
  tools,
  input: [{ role: "user", content: "Crawl https://example.com and return the page title and main text" }],
});

while (response.output.some((o) => o.type === "function_call")) {
  const outputs = await composio.provider.handleToolCalls(session, response.output);
  response = await client.responses.create({
    model: "gpt-5.6-sol",
    tools,
    previous_response_id: response.id,
    input: outputs,
  });
}

console.log(response.output_text);
```

### Path 2: MCP Server Setup

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

Install the Composio SDK and your agent framework
```python
pip install composio claude-agent-sdk
```

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

#### Path 2, Step 2: Create a session with MCP enabled

Create a session scoped to Crawlbase and read its MCP URL and headers
```python
from composio import Composio

composio = Composio()
session = composio.create(user_id="your-user-id", toolkits=["crawlbase"], mcp=True)
```

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

const composio = new Composio();
const { mcp } = await composio.create("your-user-id", {
  toolkits: ["crawlbase"],
  mcp: true,
});
```

#### Path 2, Step 3: Connect your agent to the MCP server

Pass the session's MCP URL and headers to your agent and run a Crawlbase request
```python
import asyncio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions, AssistantMessage, TextBlock

options = ClaudeAgentOptions(
    mcp_servers={
        "composio": {
            "type": "http",
            "url": session.mcp.url,
            "headers": session.mcp.headers,
        }
    },
    system_prompt="You are a helpful assistant with access to Crawlbase tools.",
    tools=[],
    allowed_tools=["mcp__composio__*"],
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query("Crawl https://example.com and return the page title and main text")
        async for message in client.receive_response():
            if isinstance(message, AssistantMessage):
                for block in message.content:
                    if isinstance(block, TextBlock):
                        print(block.text)

asyncio.run(main())
```

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

const client = await createMCPClient({
  transport: { type: "http", url: mcp.url, headers: mcp.headers },
});

const { text } = await generateText({
  model: openai("gpt-5.6-sol"),
  tools: await client.tools(),
  prompt: "Crawl https://example.com and return the page title and main text",
  stopWhen: stepCountIs(10),
});

console.log(text);
await client.close();
```

## Why Use Composio?

### 1. AI Native Crawlbase Integration

- Supports both Crawlbase MCP and direct API based integrations
- Structured, LLM-friendly schemas for reliable crawl requests and queue actions
- Rich coverage for crawling pages, checking queues, reading stored results, and monitoring usage

### 2. Managed Auth

- Securely store Crawlbase API keys without hard-coding them in your agent code
- Central place to manage, scope, and revoke Crawlbase access
- Per user and per environment credentials, so staging and production stay cleanly separated

### 3. Agent Optimized Design

- Crawlbase tools are shaped so language models can pick the right crawl, queue, or result action
- Tools are tuned using real error and success rates to improve reliability over time
- Execution logs show what ran, when it ran, and which user triggered the crawl

### 4. Enterprise Grade Security

- Fine-grained RBAC so you control which agents and users can access Crawlbase
- Scoped, least privilege access for crawl requests, stored results, and usage data
- Full audit trail of agent actions to support review and compliance

## Use Crawlbase with any AI Agent Framework

Choose a framework you want to connect Crawlbase with:

- [ChatGPT](https://composio.dev/toolkits/crawlbase/framework/chatgpt)
- [Claude Cowork](https://composio.dev/toolkits/crawlbase/framework/claude-cowork)
- [Hermes](https://composio.dev/toolkits/crawlbase/framework/hermes-agent)
- [Atomic Agent](https://composio.dev/toolkits/crawlbase/framework/atomic-agent)

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## Frequently Asked Questions

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

Yes, Crawlbase 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)