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Prerequisites
  • Python 3.10 or higher
  • PraisonAI Agents package installed
  • PraisonAI Tools package installed
  • newspaper3k package installed

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Newspaper Tools

Use Newspaper Tools to extract and analyze news articles with AI agents.
1

Install Dependencies

First, install the required packages:
pip install praisonaiagents praisonai-tools newspaper3k
2

Import Components

Import the necessary components:
from praisonaiagents import Agent, Task, Agents
from praisonai_tools import get_article, get_news_sources, get_articles_from_source, get_trending_topics
3

Create Agent

Create a news agent:
news_agent = Agent(
    name="NewsAgent",
    role="News Analyst",
    goal="Collect and analyze news articles from various sources.",
    backstory="Expert in news gathering and content analysis.",
    tools=[get_article, get_news_sources, get_articles_from_source, get_trending_topics],
    reflection=False
)
4

Define Task

Define the news task:
news_task = Task(
    description="Analyze news articles about 'AI developments' from major tech news sources.",
    expected_output="Summary of key AI developments with source articles.",
    agent=news_agent,
    name="ai_news"
)
5

Run Agent

Initialize and run the agent:
agents = Agents(
    agents=[news_agent],
    tasks=[news_task],
    process="sequential"
)
agents.start()

​
Understanding Newspaper Tools

What are Newspaper Tools?

Newspaper Tools provide news article processing capabilities for AI agents:
  • Article extraction
  • Source management
  • Content analysis
  • Trend detection
  • Multi-language support

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Key Components

News Agent

Create specialized news agents:
Agent(tools=[get_article, get_news_sources, get_articles_from_source, get_trending_topics])

News Task

Define news tasks:
Task(description="news_query")

Process Types

Sequential or parallel processing:
process="sequential"

Article Options

Customize article retrieval:
language="en", limit=10

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Available Functions

from praisonai_tools import get_article
from praisonai_tools import get_news_sources
from praisonai_tools import get_articles_from_source
from praisonai_tools import get_trending_topics

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Examples

​
Basic News Agent

from praisonaiagents import Agent, Task, Agents
from praisonai_tools import get_article, get_news_sources, get_articles_from_source, get_trending_topics

# Create news agent
news_agent = Agent(
    name="NewsExpert",
    role="News Analyst",
    goal="Gather and analyze news content efficiently.",
    backstory="Expert in news analysis and content curation.",
    tools=[get_article, get_news_sources, get_articles_from_source, get_trending_topics],
    reflection=False
)

# Define news task
news_task = Task(
    description="Analyze tech news trends.",
    expected_output="Tech news analysis report.",
    agent=news_agent,
    name="tech_news_analysis"
)

# Run agent
agents = Agents(
    agents=[news_agent],
    tasks=[news_task],
    process="sequential"
)
agents.start()

​
Advanced News Analysis with Multiple Agents

from praisonaiagents import Agent, Task, Agents
from praisonai_tools import get_article, get_news_sources, get_articles_from_source, get_trending_topics

# Create news collection agent
collector_agent = Agent(
    name="Collector",
    role="News Collector",
    goal="Gather comprehensive news coverage.",
    tools=[get_article, get_news_sources, get_articles_from_source, get_trending_topics],
    reflection=False
)

# Create analysis agent
analysis_agent = Agent(
    name="Analyzer",
    role="Content Analyst",
    goal="Analyze news content and identify trends.",
    backstory="Expert in news analysis and trend identification.",
    reflection=False
)

# Define tasks
collection_task = Task(
    description="Collect news articles about renewable energy developments.",
    agent=collector_agent,
    name="energy_news"
)

analysis_task = Task(
    description="Analyze the articles and identify key trends and breakthroughs.",
    agent=analysis_agent,
    name="news_analysis"
)

# Run agents
agents = Agents(
    agents=[collector_agent, analysis_agent],
    tasks=[collection_task, analysis_task],
    process="sequential"
)
agents.start()

​
Best Practices

Configure agents with clear news focus:
from praisonai_tools import get_article, get_news_sources, get_articles_from_source, get_trending_topics

Agent(
    name="NewsAnalyst",
    role="News Specialist",
    goal="Analyze news content effectively",
    tools=[get_article, get_news_sources, get_articles_from_source, get_trending_topics]
)
Define specific news objectives:
Task(
    description="Analyze tech news from major sources for AI developments",
    expected_output="Trend analysis with key findings"
)

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Common Patterns

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News Monitoring

from praisonaiagents import Agent, Task, Agents
from praisonai_tools import get_article, get_news_sources, get_articles_from_source, get_trending_topics

# News monitor agent
monitor = Agent(
    name="Monitor",
    role="News Monitor",
    tools=[get_article, get_news_sources, get_articles_from_source, get_trending_topics]
)

# Analysis agent
analyst = Agent(
    name="Analyst",
    role="News Analyst"
)

# Define tasks
monitor_task = Task(
    description="Monitor tech news sources",
    agent=monitor
)

analysis_task = Task(
    description="Analyze news trends",
    agent=analyst
)

# Run workflow
agents = Agents(
    agents=[monitor, analyst],
    tasks=[monitor_task, analysis_task]
)