​
Basic Usage Examples

Here are some basic examples of how to use the Company Research & Analysis Agent in different scenarios.

​
Web Interface Example

The simplest way to use the actor is through the Apify web interface.

  1. Visit the actor’s page
  2. Enter a domain name
  3. Click “Start”

​
Command Line Example

Using curl to start an actor run:

curl --request POST \
  --url https://api.apify.com/v2/acts/pratikdani~company-research-analysis-agent/runs?token=YOUR_API_TOKEN \
  --header 'content-type: application/json' \
  --data '{
    "domain": "apify.com"
  }'

​
Python Example

Simple script to research a company:

from apify_client import ApifyClient

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

# Run the actor
run_input = {
    'domain': 'apify.com'
}

# Start the run
run = client.actor('pratikdani/company-research-analysis-agent').call(run_input=run_input)

# Wait for the run to finish and fetch results
results = client.dataset(run['defaultDatasetId']).list_items().items

# Print the generated report
print(results[0]['generated_report'])

​
Node.js Example

Using the actor with Node.js:

const { ApifyClient } = require('apify-client');

// Initialize the client
const client = new ApifyClient({
    token: 'YOUR_API_TOKEN',
});

async function researchCompany() {
    // Start the actor and wait for it to finish
    const run = await client.actor('pratikdani/company-research-analysis-agent').call({
        domain: 'apify.com'
    });

    // Fetch and print results
    const { items } = await client.dataset(run.defaultDatasetId).listItems();
    console.log(items[0].generated_report);
}

researchCompany();

​
Batch Processing Example

Research multiple companies at once:

from apify_client import ApifyClient
import asyncio

async def research_companies(domains):
    client = ApifyClient('YOUR_API_TOKEN')
    results = []
    
    for domain in domains:
        try:
            # Start the actor run
            run = await client.actor('pratikdani/company-research-analysis-agent').call(
                run_input={'domain': domain}
            )
            
            # Get the results
            items = await client.dataset(run['defaultDatasetId']).list_items()
            results.append(items.items[0])
            
        except Exception as e:
            print(f"Error processing {domain}: {str(e)}")
    
    return results

# List of companies to research
domains = [
    'apify.com',
    'microsoft.com',
    'apple.com'
]

# Run the batch process
results = asyncio.run(research_companies(domains))

# Process results
for result in results:
    print(f"Company: {result['domain']}")
    print(f"Report Length: {len(result['generated_report'])} characters")
    print("---")

​
Save Results Example

Save the research results to a file:

import json
from apify_client import ApifyClient

def save_company_research(domain, output_file):
    # Initialize the client
    client = ApifyClient('YOUR_API_TOKEN')
    
    # Run the actor
    run = client.actor('pratikdani/company-research-analysis-agent').call(
        run_input={'domain': domain}
    )
    
    # Get results
    results = client.dataset(run['defaultDatasetId']).list_items().items[0]
    
    # Save to file
    with open(output_file, 'w') as f:
        json.dump(results, f, indent=2)
        
    print(f"Results saved to {output_file}")

# Use the function
save_company_research('apify.com', 'apify_research.json')

Remember to replace ‘YOUR_API_TOKEN’ with your actual Apify API token in all examples.