​

Getting Started

​

Prerequisites

• An Apify account
• API token from your Apify account (if using programmatically)
• Google API key for the Gemini model
• Python 3.8 or later

​

Installation

​

1. Install Required Packages

pip install apify-client crewai python-dotenv nest-asyncio

​

2. Set Up Environment Variables

APIFY_TOKEN=your_apify_token
GOOGLE_API_KEY=your_google_api_key

​

Quick Start

​

Using the Web Interface

1. Visit the actor page
2. Click “Try for Free” or “Use with Custom Data”
3. Enter a company domain (e.g., apple.com)
4. Click “Start”
5. Wait for the AI agents to complete their research

​

Using Python

from apify_client import ApifyClient
from src.company_research_crew import CompanyResearchCrew

# Initialize the Apify client
client = ApifyClient('YOUR_API_TOKEN')

# Initialize the research crew
research_crew = CompanyResearchCrew(actor=actor)

# Start the research process
result = research_crew.crew().kickoff(
    inputs={'domain': 'apple.com'}
)

# Print the results
print(result)

​

Understanding Results

​

1. Comprehensive Report

• Company overview
• Products and services
• Market presence
• Key personnel
• Financial metrics
• Recent developments

​

2. Structured Data

• LinkedIn profile data
• PitchBook investment data
• Crunchbase company data
• Recent news articles
• Funding analysis

​

AI Agent Roles

1. Research Specialist
   • Gathers company information
   • Uses multiple data sources
   • Validates data accuracy
2. Data Analyst
   • Processes raw data
   • Identifies patterns
   • Extracts insights
3. Report Writer
   • Structures information
   • Highlights key findings
   • Creates clear reports

​

Next Steps

• Learn about configuration options
• Explore usage examples
• Read the API reference
• Understand the architecture