> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Newspaper Tools

> Read and summarize an article from a URL with NewspaperTools.

```python newspaper_tools.py theme={null}
"""
Newspaper Tools
=============================

Demonstrates newspaper tools.
"""

from agno.agent import Agent
from agno.tools.newspaper import NewspaperTools

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------


agent = Agent(tools=[NewspaperTools()])

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    agent.print_response(
        "Please summarize https://en.wikipedia.org/wiki/Language_model"
    )
```

## Run the Example

<Snippet file="create-venv-step.mdx" />

**1. Install dependencies**

```bash theme={null}
uv pip install -U agno lxml-html-clean newspaper3k newspaper4k openai
```

**2. Export your OpenAI API key**

```bash Mac/Linux theme={null}
export OPENAI_API_KEY="your_openai_api_key_here"
```

```bash Windows theme={null}
$Env:OPENAI_API_KEY="your_openai_api_key_here"
```

**3. Run the example**

Save the code above as `newspaper_tools.py`, then run:

```bash theme={null}
python newspaper_tools.py
```

Full source: [cookbook/91\_tools/newspaper\_tools.py](https://github.com/agno-agi/agno/blob/v3.0.4/cookbook/91_tools/newspaper_tools.py)


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