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Documentation Index

Fetch the complete documentation index at: https://agno-v2-shaloo-ai-support-link.mintlify.app/llms.txt

Use this file to discover all available pages before exploring further.

Enable Agno agents with Newspaper tools to web scrape clean, ad-free text from news articles and blogs for high-quality analysis. 

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

# 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 newspaper_tools.py
For details, see Newspaper cookbook.