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Welcome to InfluencerPy

Intelligent Content Discovery & Curation, Powered by AI

InfluencerPy is an AI-powered tool that helps you discover, monitor, and curate the best content from across the web. Using intelligent scouts, it continuously finds relevant content, summarizes key insights, and optionally generates social media posts.

Key Features

  • 🔍 Smart Content Discovery: Create AI scouts that monitor RSS, Reddit, Substack, Arxiv, and more
  • 📋 Curated Reports: Get organized lists with summaries and links to original sources
  • 🤖 AI-Powered: Uses Gemini or Anthropic for intelligent content selection and summarization
  • ✍️ Optional Post Generation: Turn discovered content into social media posts for X (Twitter)
  • 📱 Telegram Delivery: Receive scout reports and review drafts from your phone
  • 📅 Smart Scheduling: Set scouts to run automatically (daily, weekly, custom)
  • 🧠 Self-Improving: Learns from your feedback to optimize content selection

InfluencerPy CLI

Two Modes of Operation

🔍 Scouting Mode (Primary)

Find and list interesting content with summaries and links. Perfect for:

  • Research and staying informed in your field
  • Competitive intelligence
  • Newsletter curation
  • Content discovery for teams

✍️ Generation Mode (Optional)

Automatically create social media posts from discovered content. Great for:

  • Maintaining active social presence
  • Content repurposing
  • Automated Twitter accounts

Quick Start

git clone https://github.com/cristianleoo/InfluencerPy.git
cd InfluencerPy
pip install -e .
influencerpy

Examples & Tutorials

Check out practical examples and step-by-step tutorials to get started quickly:

📚 Complete Tutorials

Multi-Feed RSS Scout Example

Comprehensive guide for creating a content discovery scout that monitors multiple RSS feeds simultaneously. Learn how to:

  • Add multiple RSS feeds in one scout (comma-separated)
  • Monitor 5+ sources with a single daily digest
  • Understand multi-feed behavior and AI selection
  • Customize and troubleshoot your scout

Real-world use case: AI Research Digest monitoring Berkeley, Google, MIT, Microsoft, and Takara AI feeds.

Multi-Feed RSS Visual Guide

Step-by-step walkthrough with command-line examples showing exactly what you'll see when creating and running a multi-feed scout. Perfect for visual learners!

🛠️ Code Examples

HTTP Tool Demo

Demonstrates web scraping and content extraction using the HTTP Request tool:

from influencerpy.tools.http_tool import http_request

# Fetch a webpage
result = http_request(url="https://example.com")
print(f"Title: {result['title']}")
print(f"Content: {result['content'][:200]}...")

# Extract specific content with CSS selectors
result = http_request(
    url="https://en.wikipedia.org/wiki/Web_scraping",
    selector="#mw-content-text"
)

# Extract all links from a page
result = http_request(
    url="https://news.ycombinator.com",
    extract_links=True
)
for link in result['links'][:5]:
    print(f"{link['text']}: {link['url']}")

Run the full demo:

python examples/http_tool_demo.py

Features demonstrated:

  • Basic URL fetching and parsing
  • CSS selector usage for targeted content
  • Link extraction from pages
  • Error handling

🚀 Quick Start Example

Here's a quick example of creating a scout to monitor AI research from multiple sources:

# Run influencerpy and choose "Create Scout"
# Then configure:

Scout Name: AI Research Digest
Intent: 🔍 Content Discovery (Scouting)
Scout Type: 📡 RSS
RSS Feed URLs: https://tldr.takara.ai/api/papers, https://bair.berkeley.edu/blog/feed.xml, https://research.google/blog/rss/, https://news.mit.edu/rss/topic/artificial-intelligence2, https://news.microsoft.com/source/topics/ai/feed/
Schedule: Daily at 9:00 AM

Tip: You can add multiple RSS feeds at once by separating them with commas! This example monitors 5 different AI research sources.

The scout will:

  1. Monitor 5 AI research feeds simultaneously (Berkeley, Google, MIT, Microsoft, Takara)
  2. Use AI to analyze and select the most relevant articles across all sources
  3. Send a curated list to your Telegram with summaries and links
  4. Run automatically every day at 9 AM

📖 For detailed step-by-step instructions, see the Multi-Feed RSS Scout Example.

More Examples: Check out the examples directory for additional tutorials and code samples.

Documentation