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

# Newspaper4K

> Use Newspaper4k tools with Agno agents.

Enable Agno agents with Newspaper4kTools and turn them into precision digital librarians that extract clean, ad-free text from news articles and blogs for high-quality analysis.

```python theme={null}

from agno.agent import Agent
from agno.tools.newspaper4k import Newspaper4kTools

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


agent = Agent(tools=[Newspaper4kTools(enable_read_article=True)])

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    agent.print_response(
        "Please summarize https://www.rockymountaineer.com/blog/experience-icefields-parkway-scenic-drive-lifetime"
    )
```

## Run the Example

```bash theme={null}
# Clone and setup repo
git clone https://github.com/agno-agi/agno.git
cd agno/cookbook/91_tools

# Create and activate virtual environment
./scripts/demo_setup.sh
source .venvs/demo/bin/activate

python newspaper4k_tools.py
```

For details, see [Newspaper4K cookbook](https://github.com/agno-agi/agno/blob/main/cookbook/91_tools/newspaper4k_tools.py).