> ## Documentation Index
> Fetch the complete documentation index at: https://langchain.idochub.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# AgentQL

[AgentQL](https://www.agentql.com/) provides web interaction and structured data extraction from any web page using an [AgentQL query](https://docs.agentql.com/agentql-query) or a Natural Language prompt. AgentQL can be used across multiple languages and web pages without breaking over time and change.

## Installation and Setup

Install the integration package:

<CodeGroup>
  ```bash pip theme={null}
  pip install langchain-agentql
  ```

  ```bash uv theme={null}
  uv add langchain-agentql
  ```
</CodeGroup>

## API Key

Get an API Key from our [Dev Portal](https://dev.agentql.com/) and add it to your environment variables:

```
export AGENTQL_API_KEY="your-api-key-here"
```

## DocumentLoader

AgentQL's document loader provides structured data extraction from any web page using an AgentQL query.

```python theme={null}
from langchain_agentql.document_loaders import AgentQLLoader
```

See our [document loader documentation and usage example](/oss/python/integrations/document_loaders/agentql).

## Tools and Toolkits

AgentQL tools provides web interaction and structured data extraction from any web page using an AgentQL query or a Natural Language prompt.

```python theme={null}
from langchain_agentql.tools import ExtractWebDataTool, ExtractWebDataBrowserTool, GetWebElementBrowserTool
from langchain_agentql import AgentQLBrowserToolkit
```

See our [tools documentation and usage example](/oss/python/integrations/tools/agentql).